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@@ -6,7 +6,7 @@
|
||||
},
|
||||
"metadata": {
|
||||
"description": "Agent skill and Claude Code plugin for the remove-ai-watermarks CLI.",
|
||||
"version": "1.0.11"
|
||||
"version": "1.0.13"
|
||||
},
|
||||
"plugins": [
|
||||
{
|
||||
|
||||
@@ -17,7 +17,7 @@ description: Command contracts, project gate, typing boundaries, model-adjacent
|
||||
|
||||
Every single-image command declares `source` with `dir_okay=False`; `batch` declares its directory with `file_okay=False`. Keep `tests/test_cli_robustness.py::TestDirectoryInputIsRejected` as the regression guard.
|
||||
|
||||
Exit-code and no-signal behavior is a public contract. Read the command-line section of [`../../docs/module-internals.md`](../../docs/module-internals.md) before changing it. Keep [`../../skills/remove-ai-watermarks/`](../../skills/remove-ai-watermarks/) in the same change when command routing, extras, exit codes, mark keys, or the intended-use boundary move.
|
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Exit-code and no-signal behavior is a public contract. Read the command-line section of [`../../docs/module-internals.md`](../../docs/module-internals.md) before changing it. The dev `.venv` always carries the pixel stack, so it cannot show what the default install does. To check a no-signal or fail-closed change there, build a throwaway venv outside the repository (`uv venv /tmp/bare && VIRTUAL_ENV=/tmp/bare uv pip install .`) and run `/tmp/bare/bin/remove-ai-watermarks` against it. Keep [`../../skills/remove-ai-watermarks/`](../../skills/remove-ai-watermarks/) in the same change when command routing, extras, exit codes, mark keys, or the intended-use boundary move.
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||||
`tests/test_agent_skill.py` enforces that by comparing the skill's prose against the live Click tree. Guard the SET, not the instances: per-flag comparisons only check what the skill already documents, so `--vendor`, `--pipeline auto` and then the whole `classify` and `verify-openai-synthid` commands each shipped with a green suite. `test_every_cli_command_is_named_somewhere_in_the_skill` closes that; raise `MIN_CLI_VERSION` in the skill's probe whenever a reference names a command, flag or value the previous release lacked, or the probe tells an agent its CLI is current right before it types something that build rejects.
|
||||
|
||||
@@ -29,9 +29,15 @@ The unified maintainer entry point is `scripts/provider_oracles.py`; its workflo
|
||||
slot schema live in `docs/provider-oracles.md`. Multi-account and multi-network work
|
||||
selects each named slot explicitly from the gitignored repository-local
|
||||
`.oracle-slots.json` by default and snapshots it into a separate immutable batch
|
||||
manifest. A bounded provider check may continue through its finite set of authorized
|
||||
account slots after a refusal; do not add new logins, IP rotation, network-route
|
||||
failover, unbounded retries, or cross-session result merging. Never commit the local
|
||||
manifest. A provider check walks that provider's existing order: the official API
|
||||
surface, then its Web oracle, then the remaining configured account slots.
|
||||
After a refusal, quota response, transport error, or indeterminate verdict,
|
||||
record the response and continue with the next item as its own command. Do not
|
||||
ask for confirmation before the switch. Anyone doing the task may run the
|
||||
configured checks. Do not add new logins, IP rotation, or unbounded retries.
|
||||
Do not walk a prepared route list or rotate addresses inside one call; the next
|
||||
run is a new command and picks a new session. Do not merge results from
|
||||
different sessions into one response. Never commit the local
|
||||
slot file.
|
||||
Every manual result stays bound to the exact sanitized upload hash and preserves the
|
||||
provider response verbatim.
|
||||
@@ -39,35 +45,49 @@ provider response verbatim.
|
||||
Provider surface selection is API-first. OpenAI and Microsoft use their official API
|
||||
adapters before their Web surfaces when the requested media and local configuration are
|
||||
supported. Google and Meta currently use Web because this tooling has no usable API route
|
||||
for them. Web remains an explicit second surface, never an automatic retry after an API
|
||||
refusal, quota response, transport error, or indeterminate verdict.
|
||||
for them. Google's Web surfaces are `gemini-web` and `synthid-web`
|
||||
(`https://synthid.com/`). After the current surface is exhausted, record the
|
||||
response and continue with the next surface as its own command. One call does
|
||||
not upload the same file to the next surface, and the verdicts stay separate.
|
||||
|
||||
Google Web oracle automation uses only the user's existing authenticated real Chrome
|
||||
session and explicit `/u/N/` account index. OpenAI, Microsoft, and Meta Web automation
|
||||
uses isolated Playwright contexts; it must never attach to or copy state from the user's
|
||||
real browser. Proxy credentials are read only through a slot's named environment variable
|
||||
A signed-in account is required only for `gemini-web`. That surface uses the user's
|
||||
existing authenticated real Chrome session and an explicit `/u/N/` account index.
|
||||
Every other Web surface, including `synthid-web`, uses an isolated Playwright
|
||||
context and may name a proxy. Those contexts must never attach to or copy state
|
||||
from the user's real browser. `synthid-web` has no `/u/N/` index. Its terms forbid
|
||||
bulk verification and quota evasion, so one run submits the prepared rows once
|
||||
and does not start a sign-in. If the page says `Please sign in before detection.`
|
||||
and returns no watermark label, keep that row and continue the same prepared
|
||||
upload in the user's existing real Chrome. That Chrome session stays on the
|
||||
direct route: no proxy, no new login, and no cookie copy into Playwright. If
|
||||
that Chrome also asks for sign-in, leave its row unsubmitted. API calls
|
||||
stay on the direct SDK transport and do not take `proxy_url_env`. Proxy credentials are read only through a slot's named environment variable
|
||||
and never enter a manifest or log. Dotenv interpolation may derive routed proxy URLs from
|
||||
one secret key without mutating the process environment. A selected proxy context may
|
||||
accept that proxy's TLS interception certificate; direct contexts keep normal TLS checks.
|
||||
ThorData rotating endpoints are pinned to one manifest-derived sticky session for the
|
||||
life of a Web batch so one browser context does not change exit identity between page
|
||||
requests. This is route continuity, not account or IP failover; a refusal still ends on
|
||||
the selected slot and never selects another route automatically.
|
||||
A ThorData exit is not prepared ahead of time. Each unauthenticated Web run picks
|
||||
a new session and a country in Europe or the United States, and keeps that one exit
|
||||
for the browser context so page requests do not change identity. A country or
|
||||
`sessid` already written into the proxy URL is discarded. The next run picks again.
|
||||
Upload readiness is surface-specific: OpenAI reaches it at page load but keeps background
|
||||
requests alive, while Microsoft and Meta require network idle. Preserve exact provider
|
||||
errors as indeterminate evidence rather than retrying or interpreting them as clean.
|
||||
requests alive, while Microsoft, Meta, and SynthID Detector require network idle. Preserve exact provider
|
||||
errors as indeterminate evidence, then continue with the next configured route or surface.
|
||||
|
||||
OpenAI API slots likewise carry only `api_key_env`. Store multiple key values in the
|
||||
gitignored `.env`, select one slot explicitly, and never rotate to another token after a
|
||||
refusal or rate limit. The process environment may override the matching `.env` value.
|
||||
Their SDK transport sets `trust_env=False`; environment proxy variables must not reroute
|
||||
an API check.
|
||||
gitignored `.env` and select one slot explicitly. The process environment may override
|
||||
the matching `.env` value. Their SDK transport sets `trust_env=False`, so ambient proxy
|
||||
variables do not reroute an API check, and the slot does not take `proxy_url_env`.
|
||||
After a refusal or rate limit, continue with the next configured slot in a new call,
|
||||
then with the Web surface.
|
||||
|
||||
Microsoft API slots use the Azure Content Safety and private Blob Storage resource
|
||||
identities from the gitignored `.env`. The adapter reads resource keys only into memory
|
||||
through authenticated Azure CLI, downloads and hashes the private blob before requiring
|
||||
equality with the named local source, keeps `trust_env=False`, never retries the submit,
|
||||
and reports Watermark independently from C2PA.
|
||||
equality with the named local source, keeps `trust_env=False`, and makes one submit
|
||||
inside that call. Ambient proxy settings do not apply, and the slot does not take
|
||||
`proxy_url_env`. The next slot or the Web surface is a new call and runs after a
|
||||
refusal, quota response, transport error, or indeterminate verdict. Report
|
||||
Watermark independently from C2PA.
|
||||
|
||||
Do not add an option whose only outcome is an error. Model id, step count and CFG are fixed by the profile, so none of them is a parameter of the CLI, `InvisibleEngine`, or `WatermarkRemover` -- they were accepted-then-rejected for a while, which moved the failure several frames below the caller and advertised choices the pinned stack cannot honor. If a value cannot vary, delete the knob rather than validating it.
|
||||
|
||||
@@ -89,7 +109,7 @@ procedure in `docs/development.md`; do not revive the old text-matching bypass.
|
||||
|
||||
Boundary modules for cv2, Torch, and Diffusers may carry narrow per-file relaxations for unknown third-party types. Keep pure-logic files strict, preserve the local piexif stub, and fix real errors before widening a pragma.
|
||||
|
||||
From a worktree, `uv run` imports the package from the MAIN checkout -- that is where the editable install points. A script measuring a worktree's edit must insert that worktree's `src` at `sys.path[0]` and assert `module.__file__` resolves inside it, or it silently compares unmodified code against itself.
|
||||
From a worktree without its own `.venv`, `uv run` imports the package from the MAIN checkout, because that is where the editable install points; a worktree with its own `.venv` imports its own `src`. Either way, a script measuring a worktree's edit must assert `module.__file__` resolves inside that worktree (insert its `src` at `sys.path[0]` when it does not), or it silently compares unmodified code against itself.
|
||||
|
||||
## Research harnesses stay out of this repository
|
||||
|
||||
|
||||
@@ -1,52 +1,65 @@
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||||
---
|
||||
name: provider-oracles
|
||||
description: Run hash-bound Google, OpenAI, Microsoft, or Meta watermark-oracle checks for this repository. Use for provider verification, multi-account Gemini checks, isolated Playwright checks, or recording oracle evidence.
|
||||
description: Run hash-bound Google, OpenAI, Microsoft, or Meta watermark-oracle checks for this repository. Use for provider verification, multi-account Gemini checks, SynthID Detector checks at synthid.com, isolated Playwright checks, or recording oracle evidence. Walk the existing plan automatically when a task needs a provider verdict.
|
||||
metadata:
|
||||
internal: true
|
||||
---
|
||||
|
||||
# Provider oracles
|
||||
|
||||
Read `docs/provider-oracles.md` before acting. Use `scripts/provider_oracles.py`
|
||||
for surface discovery, slot validation, upload preparation, result recording,
|
||||
and integrity verification.
|
||||
Read `docs/provider-oracles.md` for surface keys, slot schema, preparation, and
|
||||
recording commands. Use `scripts/provider_oracles.py` for surface discovery, slot
|
||||
validation, upload preparation, result recording, and integrity verification.
|
||||
|
||||
Named slots live in the gitignored repository-local
|
||||
`.oracle-slots.json`. Never commit that file. Pass `--slot NAME` to use it;
|
||||
pass `--slots PATH` only to override the local path.
|
||||
|
||||
Never substitute one provider's negative verdict for another provider's signal.
|
||||
Do not optimize candidates adaptively against an external oracle.
|
||||
Do not optimize candidates adaptively against an external oracle. Keep each
|
||||
submitted artifact frozen inside its own batch and bind the result to that
|
||||
artifact's hash. Do not erase failures.
|
||||
|
||||
Anyone doing the task may run the configured checks. Do not ask who is allowed
|
||||
to use the oracle, and do not ask for confirmation before moving to the next
|
||||
surface, slot, or route.
|
||||
|
||||
## Order
|
||||
|
||||
Walk `plan PROVIDER`. That command only prints the order. The order itself stays:
|
||||
|
||||
1. The official API surface, when this tooling has one for that provider, media
|
||||
type, and configured slot. OpenAI is `openai-api`. Microsoft is
|
||||
`microsoft-api`.
|
||||
2. That provider's Web oracle. OpenAI is `openai-web` and Microsoft is
|
||||
`microsoft-web`, both through isolated Playwright. Meta is `meta-web`
|
||||
through isolated Playwright. Google is `gemini-web` on the user's existing
|
||||
real Chrome, then `synthid-web` at `https://synthid.com/` through isolated
|
||||
Playwright. Meta and Google have no API surface, so their first Web oracle is
|
||||
the first row.
|
||||
3. The remaining configured account slots of those surfaces. A signed-in
|
||||
account is required only for Gemini, and that slot stays on the direct
|
||||
route. Every other Web surface may use isolated Playwright and a proxy.
|
||||
That proxy exit is chosen when the run starts.
|
||||
|
||||
When the current surface, slot, or route is exhausted by a refusal, quota
|
||||
response, transport error, or indeterminate verdict, record the exact response
|
||||
and run the next item as its own command. One adapter call still makes one
|
||||
request.
|
||||
|
||||
## Account continuation
|
||||
|
||||
A request to verify a bounded set of files with a provider authorizes using that
|
||||
provider's configured account slots unless the user limits the account scope.
|
||||
Before starting, identify the finite set of available authenticated slots and
|
||||
prepare one immutable batch per slot. After a quota refusal or service failure,
|
||||
record the exact response, leave that slot's remaining rows unsubmitted, and
|
||||
continue automatically through the remaining authorized slots. Do not stop to
|
||||
request permission for each account or file already covered by the task.
|
||||
Before starting, identify the finite set of configured slots and prepare one
|
||||
immutable batch per slot. After a quota refusal or service failure, record the
|
||||
exact response, leave that slot's remaining rows unsubmitted, and continue
|
||||
through the remaining slots in the order above.
|
||||
|
||||
Submit each frozen artifact at most once per slot in that pass. Preserve
|
||||
inconclusive results and disagreements between accounts. Stop when the bounded
|
||||
plan is complete or no authorized usable slot remains; report remaining rows.
|
||||
New logins, another provider, a new network route, or another pass after the plan
|
||||
is exhausted require authorization unless already requested. Account
|
||||
continuation does not authorize changing candidate pixels or erasing failures.
|
||||
|
||||
## Default surface priority
|
||||
|
||||
Prefer an official API adapter whenever that provider, media type, and configured
|
||||
slot support it. Use Web only when no usable API route exists or the operator
|
||||
explicitly requests the Web surface as a second check. For OpenAI and Microsoft,
|
||||
the default plans are API then Web. Google and Meta currently have only usable
|
||||
Web routes in this tooling. Inspect the order with `plan PROVIDER`.
|
||||
|
||||
The priority is a selection policy, not automatic failover. An API refusal,
|
||||
quota response, transport error, or indeterminate verdict must be recorded and
|
||||
reported. Do not submit the same artifact to Web unless the operator separately
|
||||
authorizes that next surface.
|
||||
inconclusive results and disagreements between accounts. Stop when the plan is
|
||||
complete or no configured usable slot or route remains, and report remaining
|
||||
rows. Do not start a new login. Do not change candidate pixels. An API result
|
||||
is not replaced by the Web result. Run Web as its own acknowledged check and
|
||||
keep its verdict separate.
|
||||
|
||||
## Route by surface
|
||||
|
||||
@@ -67,10 +80,8 @@ Playwright CLI runner, copied cookies, or a new login.
|
||||
AI metadata. Inspect the prepared upload again and do not submit it if a visible
|
||||
provider mark remains. A model answer based on a visible logo is not a SynthID
|
||||
result.
|
||||
4. Confirm that the prepared files and provider are covered by the user's
|
||||
request or existing upload approval. Ask only if that scope is missing or
|
||||
changed; do not request confirmation again for each file or account in the
|
||||
authorized plan. Do not upload the source path directly.
|
||||
4. Upload the prepared files for the task. Pass the acknowledgement flag where
|
||||
the command requires one. Do not upload the source path directly.
|
||||
5. Attach one prepared upload and ask: `Does this image/video/audio contain a
|
||||
SynthID watermark? Use the SynthID verification tool only; do not infer from
|
||||
visible content, logos, text, or metadata.` Do not substitute a general
|
||||
@@ -82,13 +93,43 @@ Playwright CLI runner, copied cookies, or a new login.
|
||||
7. Record the verbatim response and verify the completed batch.
|
||||
|
||||
If a planned Chrome profile or `/u/N/` account is not already authenticated,
|
||||
record that it is unavailable and continue with another authorized existing
|
||||
session. Ask the user only when no usable authorized session remains. Do not
|
||||
start a new login.
|
||||
record that it is unavailable and continue with another configured existing
|
||||
session. When no usable Gemini session remains, record that and continue with
|
||||
`synthid-web`. Do not start a new login.
|
||||
|
||||
### OpenAI, Microsoft, and Meta Web
|
||||
### SynthID Detector
|
||||
|
||||
Use the isolated Playwright runner, never the user's real Chrome:
|
||||
Use the isolated Playwright runner at `https://synthid.com/`. The page does not
|
||||
require an account login, so the slot may name a proxy. Do not start a sign-in.
|
||||
The portal's terms forbid bulk verification and quota evasion, so one invocation
|
||||
submits the prepared rows once and does not retry.
|
||||
|
||||
1. Validate a `synthid-web` slot. It does not name `account_label`,
|
||||
`browser_profile`, or `google_account_index`. It may name `proxy_url_env`.
|
||||
2. Prepare an immutable batch outside the repository. Inspect images the same
|
||||
way as for Gemini, and do not submit a file that still shows a provider logo.
|
||||
3. Run `run-web` with the upload acknowledgement. The runner attaches one
|
||||
prepared upload through the page's file input.
|
||||
4. Read the settled label. `Watermark detected` is `detected`. `Watermark not
|
||||
detected` and `SynthID was not detected` are `not_detected`. Quota and
|
||||
unclear wording stay `refused` or `indeterminate`. Do not click a sign-in
|
||||
button.
|
||||
5. If the anonymous page says `Please sign in before detection.` and returns no
|
||||
watermark label, keep that row. Open the same prepared upload in the user's
|
||||
existing real Chrome, where a session is already signed in. Read
|
||||
`~/Documents/GitHub/claude-config/docs/browser-automation.md` and use that
|
||||
authenticated Chrome. Do not start a new login, do not copy cookies into
|
||||
Playwright, and do not send that Chrome session through a proxy. If that
|
||||
Chrome also asks for sign-in, leave its row unsubmitted.
|
||||
6. Record the verbatim response. The result covers partner SynthID from Google
|
||||
DeepMind, Nvidia, OpenAI, and Kakao, and it does not name which partner. Do
|
||||
not record it as a Gemini-only or OpenAI-only verdict.
|
||||
|
||||
### OpenAI, Microsoft, Meta, and SynthID Detector Web
|
||||
|
||||
Use the isolated Playwright runner. Do not attach that runner to the user's
|
||||
real Chrome. The sign-in fallback in the SynthID Detector section is a separate
|
||||
session in the existing Chrome, not a proxy through this runner:
|
||||
|
||||
```bash
|
||||
uv run python scripts/provider_oracles.py run-web /outside/repo/batch/manifest.json \
|
||||
@@ -99,41 +140,43 @@ The runner is headed by default because OpenAI's Cloudflare gate blocks the
|
||||
same isolated Chromium in headless mode. Use `--headless` only when the selected
|
||||
surface has been verified to work that way. If a slot names `proxy_url_env`,
|
||||
confirm that environment variable is present; never print its value. The runner
|
||||
uses one context, one route, fresh page navigation per upload, and no retry.
|
||||
CAPTCHA, bot checks, throttling, transport failure, and unknown page wording
|
||||
remain distinct recorded outcomes.
|
||||
uses one context, one route, and fresh page navigation per upload. One
|
||||
invocation does not retry internally. CAPTCHA, bot checks, throttling, transport
|
||||
failure, and unknown page wording remain distinct recorded outcomes. After any
|
||||
of those, or after a refusal, run the next configured route or surface.
|
||||
|
||||
Wait for the surface-specific upload readiness that the runner implements.
|
||||
OpenAI completes at page load but keeps background requests alive, while
|
||||
Microsoft and Meta require network idle. Do not replace those conditions with
|
||||
Microsoft, Meta, and SynthID Detector require network idle. Do not replace those conditions with
|
||||
one shared wait. Treat OpenAI's exact `Something went wrong` response as a
|
||||
settled `indeterminate` result, not as a clean result or a reason to retry.
|
||||
settled `indeterminate` result, not as a clean result. Do not resubmit that
|
||||
same page in the same batch; continue with the next configured route or surface.
|
||||
|
||||
For ThorData residential proxy mode, keep `THORDATA_ROUTE_US`,
|
||||
`THORDATA_ROUTE_DE`, `THORDATA_ROUTE_GB`, `THORDATA_ROUTE_NL`, and
|
||||
`THORDATA_ROUTE_JP` URLs in the gitignored `.env`;
|
||||
OpenAI, Microsoft, and Meta Web slots may each name one of them through
|
||||
`proxy_url_env`. Encode an explicit two-letter ISO country code in each route,
|
||||
verify egress before relying on it, and never automatically change route after
|
||||
a refusal. Bound a batch before starting.
|
||||
A signed-in account is required only for Gemini. Every other Web surface,
|
||||
including SynthID Detector, starts in isolated Playwright and may use a proxy.
|
||||
When SynthID Detector asks for a sign-in, continue that one file in the user's
|
||||
existing real Chrome, on the direct route. An
|
||||
API call stays on the direct SDK transport and does not take a proxy.
|
||||
|
||||
ThorData user-and-password endpoints without `sessid` rotate the exit on each
|
||||
request, which breaks a browser page whose resources must share one network
|
||||
identity. The runner therefore derives one sticky `sessid` from the immutable
|
||||
manifest hash and keeps it for that batch. A new prepared batch gets a new
|
||||
session; rerunning or resuming the same batch keeps its session while the proxy
|
||||
retains it. An explicit `sessid` in the configured route is preserved. This is
|
||||
session continuity, not permission to retry a refused batch on another route.
|
||||
A ThorData credential may live in one gitignored environment variable. Do not
|
||||
prepare a country or a session in that URL or in a slot. Each run of an
|
||||
unauthenticated Web oracle discards a country or `sessid` already present and
|
||||
picks a new session in a country in Europe or the United States. That one
|
||||
session stays for the browser context, because a ThorData endpoint without
|
||||
`sessid` rotates the exit on each request and breaks a page whose resources
|
||||
must share one network identity. The next run picks again. After a refusal,
|
||||
start that next run; do not walk a list of prepared country routes.
|
||||
|
||||
### OpenAI API
|
||||
|
||||
Use `check-openai` with one explicit upload acknowledgement. Keep named API keys
|
||||
as `OPENAI_API_KEY_1`, `OPENAI_API_KEY_2`, and `OPENAI_API_KEY_3` in the local `.env`, and select
|
||||
only their variable names through an `openai-api` slot's `api_key_env`. Never
|
||||
print a key or copy one into a slot or manifest. Continue through authorized
|
||||
named API slots according to the bounded account plan above; keep a separate
|
||||
batch for each. API slots use a direct SDK transport that ignores environment proxy
|
||||
settings. The current adapter is image-only.
|
||||
print a key or copy one into a slot or manifest. Continue through the configured
|
||||
named API slots, with a separate batch for each, and then continue to
|
||||
`openai-web`. API slots use a direct SDK transport that ignores environment
|
||||
proxy settings. The current adapter is image-only. One adapter call does not
|
||||
switch tokens; the next slot is a new call.
|
||||
|
||||
### Microsoft API
|
||||
|
||||
@@ -144,8 +187,10 @@ the gitignored `.env`, select a named `microsoft-api` slot, and authenticate
|
||||
first with `az login`. Give the Content Safety system identity `Storage Blob
|
||||
Data Reader` on the input storage account. The adapter reads resource keys only
|
||||
into memory through Azure CLI, never logs them, ignores environment proxy
|
||||
settings, makes one submit request with no retry, and polls only the returned
|
||||
operation. Keep Microsoft's Watermark and C2PA markers as separate verdicts.
|
||||
settings, makes one submit request with no retry inside that call, and polls
|
||||
only the returned operation. After that call is refused, hits quota, fails, or
|
||||
returns indeterminate, continue with another `microsoft-api` slot or with
|
||||
`microsoft-web`. Keep Microsoft's Watermark and C2PA markers as separate verdicts.
|
||||
|
||||
## Evidence rules
|
||||
|
||||
|
||||
@@ -84,7 +84,13 @@ finding.
|
||||
9. Run `bash maintain.sh`. Report evidence limits, incomplete rows, crashes,
|
||||
unsupported formats, and oracle-unavailable cohorts explicitly.
|
||||
|
||||
External oracle uploads are separate mutations. Use the `provider-oracles`
|
||||
skill only for a bounded, already-selected candidate, and obtain the required
|
||||
action-time upload approval. Do not adapt candidates against an oracle, retry
|
||||
automatically, or substitute one provider's verdict for another's.
|
||||
External oracle uploads use the `provider-oracles` skill. When a cohort needs a
|
||||
provider verdict, walk that skill's plan automatically: API first, then the Web
|
||||
oracle, including `synthid-web` at synthid.com for Google, then the remaining
|
||||
configured account slots. A signed-in account is required only for Gemini.
|
||||
Every other Web surface, including `synthid-web`, may use isolated Playwright
|
||||
and a proxy, and each proxied run picks a new session in Europe or the United
|
||||
States. If SynthID Detector asks for a sign-in, continue that file in the user's
|
||||
existing real Chrome on the direct route, and do not start a new login. Do not ask for
|
||||
confirmation before switching, and do not adapt candidates against an oracle.
|
||||
Do not substitute one provider's verdict for another's.
|
||||
@@ -0,0 +1,39 @@
|
||||
{
|
||||
"name": "remove-ai-watermarks",
|
||||
"version": "1.0.13",
|
||||
"description": "Identify and remove AI provenance marks from images and video the user generated or edited, using the remove-ai-watermarks CLI.",
|
||||
"author": {
|
||||
"name": "wiltodelta",
|
||||
"url": "https://github.com/wiltodelta"
|
||||
},
|
||||
"homepage": "https://raiw.cc",
|
||||
"repository": "https://github.com/wiltodelta/remove-ai-watermarks",
|
||||
"license": "Apache-2.0",
|
||||
"keywords": [
|
||||
"ai-watermark",
|
||||
"watermark-removal",
|
||||
"c2pa",
|
||||
"synthid",
|
||||
"provenance",
|
||||
"gemini",
|
||||
"sora"
|
||||
],
|
||||
"skills": "./skills/",
|
||||
"interface": {
|
||||
"displayName": "Remove AI Watermarks",
|
||||
"shortDescription": "Identify and remove AI watermarks and provenance metadata",
|
||||
"longDescription": "Runs the open-source remove-ai-watermarks CLI locally to identify C2PA, IPTC, EXIF and TC260 provenance, visible AI-generator labels and supported invisible watermarks, then removes them from images and video the user generated or edited. It does not remove stock, agency or other third-party marks.",
|
||||
"developerName": "wiltodelta",
|
||||
"category": "Productivity",
|
||||
"capabilities": ["Read", "Write"],
|
||||
"websiteURL": "https://github.com/wiltodelta/remove-ai-watermarks",
|
||||
"defaultPrompt": [
|
||||
"Check this image for AI watermarks and provenance metadata",
|
||||
"Remove the AI metadata from my generated video without re-encoding it",
|
||||
"Remove the visible AI label from the corner of my image"
|
||||
],
|
||||
"brandColor": "#A78BFA",
|
||||
"composerIcon": "./assets/icon.svg",
|
||||
"logo": "./assets/icon.svg"
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,15 @@
|
||||
# Local state and secrets never belong in a plugin bundle.
|
||||
.env
|
||||
.env.*
|
||||
!.env.example
|
||||
.oracle-slots.json
|
||||
.local-eval/
|
||||
.venv/
|
||||
__pycache__/
|
||||
*.pyc
|
||||
# Generated media and model artifacts.
|
||||
data/
|
||||
*.mp4
|
||||
*.onnx
|
||||
*.safetensors
|
||||
*.pt
|
||||
@@ -62,7 +62,7 @@ jobs:
|
||||
PYTHON
|
||||
|
||||
- name: Upload distributed release identity
|
||||
uses: actions/upload-artifact@v7
|
||||
uses: actions/upload-artifact@cf430e030ddbb5b0abf93d22962f4752f3646cd9 # v7.0.2
|
||||
with:
|
||||
name: distributed-release-${{ github.run_attempt }}
|
||||
path: release-identity.json
|
||||
@@ -104,7 +104,7 @@ jobs:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Checkout the tap
|
||||
uses: actions/checkout@v7
|
||||
uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
|
||||
with:
|
||||
repository: wiltodelta/homebrew-tap
|
||||
token: ${{ secrets.HOMEBREW_TAP_TOKEN }}
|
||||
@@ -227,7 +227,7 @@ jobs:
|
||||
needs: resolve
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v7
|
||||
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
|
||||
- name: Publish the agent skill when its version moved
|
||||
env:
|
||||
CLAWHUB_TOKEN: ${{ secrets.CLAWHUB_TOKEN }}
|
||||
|
||||
@@ -21,8 +21,8 @@ jobs:
|
||||
permissions:
|
||||
contents: read
|
||||
steps:
|
||||
- uses: actions/checkout@v7
|
||||
- uses: astral-sh/setup-uv@v7
|
||||
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
|
||||
- uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
|
||||
with:
|
||||
python-version: "3.12"
|
||||
- name: Download derivative weights
|
||||
|
||||
@@ -0,0 +1,142 @@
|
||||
name: Publish to MCP registry
|
||||
|
||||
# Lists the released PyPI package in the official MCP registry
|
||||
# (registry.modelcontextprotocol.io) from server.json at the release tag.
|
||||
# GitHub OIDC proves ownership of the io.github.wiltodelta namespace, so no
|
||||
# interactive login or stored secret is involved. The registry validates the
|
||||
# PyPI release itself (the mcp-name marker in its description), and the Release
|
||||
# event fires in parallel with publish.yml's upload, so this waits until PyPI
|
||||
# serves the version first. A version the registry already lists is skipped.
|
||||
# It is a workflow of its own, not a distribute.yml job, so a manual dispatch
|
||||
# re-lists one version without re-running Homebrew, the Space, or ComfyUI, and
|
||||
# a registry outage never fails release verification.
|
||||
|
||||
on:
|
||||
release:
|
||||
types: [published]
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
version:
|
||||
description: "Released version to list (no leading v), e.g. 0.46.0"
|
||||
required: true
|
||||
|
||||
permissions:
|
||||
id-token: write
|
||||
contents: read
|
||||
|
||||
jobs:
|
||||
publish:
|
||||
# Model-only prereleases are not Python package releases.
|
||||
if: ${{ github.event_name != 'release' || (startsWith(github.event.release.tag_name, 'v') && !github.event.release.prerelease) }}
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 30
|
||||
env:
|
||||
SERVER_NAME: io.github.wiltodelta/remove-ai-watermarks
|
||||
# The same name percent-encoded, as the registry's path segment takes it.
|
||||
SERVER_PATH: https://registry.modelcontextprotocol.io/v0/servers/io.github.wiltodelta%2Fremove-ai-watermarks
|
||||
# Pinned publisher release; the digest is GitHub's sha256 for the asset.
|
||||
PUBLISHER_URL: https://github.com/modelcontextprotocol/registry/releases/download/v1.8.1/mcp-publisher_linux_amd64.tar.gz
|
||||
PUBLISHER_SHA256: a06c9096dcb9727c13555b6be26c7effa707b01f06a4c561ba7a3635443cf2cc
|
||||
|
||||
steps:
|
||||
- name: Resolve target version
|
||||
id: v
|
||||
env:
|
||||
EVENT_NAME: ${{ github.event_name }}
|
||||
RELEASE_TAG: ${{ github.event.release.tag_name }}
|
||||
INPUT_VERSION: ${{ github.event.inputs.version }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
if [ "$EVENT_NAME" = "release" ]; then
|
||||
v="${RELEASE_TAG#v}"
|
||||
else
|
||||
v="$INPUT_VERSION"
|
||||
fi
|
||||
# The version becomes a git ref and a URL component. Reject malformed input.
|
||||
[[ "$v" =~ ^[0-9]+\.[0-9]+\.[0-9]+([a-zA-Z0-9.+-]*)$ ]]
|
||||
echo "version=$v" >> "$GITHUB_OUTPUT"
|
||||
|
||||
- name: Skip a version the registry already lists
|
||||
id: listed
|
||||
env:
|
||||
VERSION: ${{ steps.v.outputs.version }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
status=$(curl -sS --connect-timeout 10 --max-time 20 -o /dev/null -w '%{http_code}' "$SERVER_PATH/versions/$VERSION")
|
||||
case "$status" in
|
||||
200) echo "listed=true" >> "$GITHUB_OUTPUT"
|
||||
echo "- MCP registry: $SERVER_NAME $VERSION was already listed" >> "$GITHUB_STEP_SUMMARY" ;;
|
||||
404) echo "listed=false" >> "$GITHUB_OUTPUT" ;;
|
||||
*) echo "::error::Registry lookup returned HTTP $status"; exit 1 ;;
|
||||
esac
|
||||
|
||||
# mcp-publisher reads only ./server.json, so fetch nothing else.
|
||||
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
|
||||
if: ${{ steps.listed.outputs.listed == 'false' }}
|
||||
with:
|
||||
ref: v${{ steps.v.outputs.version }}
|
||||
sparse-checkout: server.json
|
||||
sparse-checkout-cone-mode: false
|
||||
|
||||
- name: Check server.json matches the release
|
||||
if: ${{ steps.listed.outputs.listed == 'false' }}
|
||||
env:
|
||||
VERSION: ${{ steps.v.outputs.version }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
python3 - <<'PYTHON'
|
||||
import json, os
|
||||
manifest = json.load(open("server.json", encoding="utf-8"))
|
||||
version = os.environ["VERSION"]
|
||||
assert manifest["name"] == os.environ["SERVER_NAME"], manifest["name"]
|
||||
found = [manifest["version"], *(p["version"] for p in manifest["packages"])]
|
||||
assert all(v == version for v in found), f"server.json versions {found} != {version}"
|
||||
PYTHON
|
||||
|
||||
- name: Wait for PyPI to serve the release
|
||||
if: ${{ steps.listed.outputs.listed == 'false' }}
|
||||
env:
|
||||
VERSION: ${{ steps.v.outputs.version }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
for attempt in $(seq 1 40); do
|
||||
status=$(curl -sS --connect-timeout 10 --max-time 20 -o /dev/null -w '%{http_code}' \
|
||||
"https://pypi.org/pypi/remove-ai-watermarks/$VERSION/json" || true)
|
||||
if [ "$status" = "200" ]; then
|
||||
echo "PyPI serves $VERSION"
|
||||
exit 0
|
||||
fi
|
||||
echo "Attempt $attempt: PyPI returned HTTP $status for $VERSION"
|
||||
sleep 30
|
||||
done
|
||||
echo "::error::PyPI never served $VERSION"
|
||||
exit 1
|
||||
|
||||
- name: Publish with a verified mcp-publisher
|
||||
if: ${{ steps.listed.outputs.listed == 'false' }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
curl -fsSL -o mcp-publisher.tar.gz "$PUBLISHER_URL"
|
||||
echo "$PUBLISHER_SHA256 mcp-publisher.tar.gz" | sha256sum -c -
|
||||
tar xzf mcp-publisher.tar.gz mcp-publisher
|
||||
./mcp-publisher login github-oidc
|
||||
./mcp-publisher publish
|
||||
|
||||
- name: Read the entry back
|
||||
if: ${{ steps.listed.outputs.listed == 'false' }}
|
||||
env:
|
||||
VERSION: ${{ steps.v.outputs.version }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
for attempt in $(seq 1 10); do
|
||||
status=$(curl -sS --connect-timeout 10 --max-time 20 -o /dev/null -w '%{http_code}' \
|
||||
"$SERVER_PATH/versions/$VERSION" || true)
|
||||
if [ "$status" = "200" ]; then
|
||||
echo "- MCP registry: $SERVER_NAME $VERSION is listed" >> "$GITHUB_STEP_SUMMARY"
|
||||
exit 0
|
||||
fi
|
||||
echo "Attempt $attempt: registry returned HTTP $status"
|
||||
sleep 15
|
||||
done
|
||||
echo "::error::The registry does not list $SERVER_NAME $VERSION"
|
||||
exit 1
|
||||
@@ -36,9 +36,9 @@ jobs:
|
||||
permissions:
|
||||
contents: read
|
||||
steps:
|
||||
- uses: actions/checkout@v7
|
||||
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
|
||||
|
||||
- uses: astral-sh/setup-uv@v7
|
||||
- uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
|
||||
with:
|
||||
python-version: "3.12"
|
||||
|
||||
|
||||
@@ -22,9 +22,9 @@ jobs:
|
||||
permissions:
|
||||
contents: read
|
||||
steps:
|
||||
- uses: actions/checkout@v7
|
||||
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
|
||||
|
||||
- uses: astral-sh/setup-uv@v7
|
||||
- uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
|
||||
with:
|
||||
python-version: "3.12"
|
||||
|
||||
|
||||
@@ -15,9 +15,9 @@ jobs:
|
||||
runs-on: ubuntu-latest
|
||||
environment: pypi
|
||||
steps:
|
||||
- uses: actions/checkout@v7
|
||||
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
|
||||
|
||||
- uses: astral-sh/setup-uv@v7
|
||||
- uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
|
||||
|
||||
- name: Verify release tag matches package version
|
||||
run: |
|
||||
|
||||
@@ -32,8 +32,8 @@ jobs:
|
||||
skill:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v7
|
||||
- uses: astral-sh/setup-uv@v7
|
||||
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
|
||||
- uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
|
||||
- name: Sync dev environment
|
||||
run: uv sync --frozen --extra dev
|
||||
- name: Agent skill packaging tests
|
||||
|
||||
+10
-10
@@ -16,8 +16,8 @@ jobs:
|
||||
lint:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v7
|
||||
- uses: astral-sh/setup-uv@v7
|
||||
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
|
||||
- uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
|
||||
- name: Sync dev environment
|
||||
run: uv sync --frozen --extra dev
|
||||
- name: Check C2PA soft-binding registry snapshot
|
||||
@@ -34,8 +34,8 @@ jobs:
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 5
|
||||
steps:
|
||||
- uses: actions/checkout@v7
|
||||
- uses: astral-sh/setup-uv@v7
|
||||
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
|
||||
- uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
|
||||
with:
|
||||
enable-cache: false
|
||||
# Policy and triaged blocks: docs/development.md "Known security-gate blocks".
|
||||
@@ -69,8 +69,8 @@ jobs:
|
||||
- os: windows-latest
|
||||
python-version: "3.14"
|
||||
steps:
|
||||
- uses: actions/checkout@v7
|
||||
- uses: astral-sh/setup-uv@v7
|
||||
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
|
||||
- uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
- name: Sync dev environment
|
||||
@@ -82,8 +82,8 @@ jobs:
|
||||
name: versioned transport contracts py3.14
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v7
|
||||
- uses: astral-sh/setup-uv@v7
|
||||
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
|
||||
- uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
|
||||
with:
|
||||
python-version: "3.14"
|
||||
- name: Create clean runtime contract environment
|
||||
@@ -104,8 +104,8 @@ jobs:
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 5
|
||||
steps:
|
||||
- uses: actions/checkout@v7
|
||||
- uses: astral-sh/setup-uv@v7
|
||||
- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
|
||||
- uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
|
||||
with:
|
||||
python-version: "3.12"
|
||||
- name: Install ffmpeg
|
||||
|
||||
@@ -38,7 +38,7 @@ jobs:
|
||||
steps:
|
||||
- name: Download distributed release identity
|
||||
if: ${{ github.event_name == 'workflow_run' }}
|
||||
uses: actions/download-artifact@v8
|
||||
uses: actions/download-artifact@9000827ccba6bdab643e8b6fd33ac0654aef8333 # v8.0.2
|
||||
with:
|
||||
pattern: distributed-release-*
|
||||
path: distribution-identities
|
||||
|
||||
@@ -6,9 +6,10 @@ You are a **principal Python engineer** maintaining a CLI tool and library for r
|
||||
|
||||
The project gives users control over provenance marks on content they generated or edited themselves. It does not automatically remove stock-agency, marketplace, classifieds, tiled-preview, or other marks that protect a third party's paid or copyrighted asset.
|
||||
|
||||
- Add visible templates only for AI-generation labels.
|
||||
- Add visible templates only for marks the vendor declares as AI-generation labels, whatever plan hides them; plan-removable product branding ("Made with Gamma") is not one.
|
||||
- Do not add stock, agency, or classifieds marks to `watermark_registry.py`.
|
||||
- Do not add templates for regulator-defined disclosure icons (EU Code of Practice Annex 1).
|
||||
- LLM text watermarks are out of scope.
|
||||
- Keep `erase --region` generic and user-directed; do not build an automatic stock-watermark remover on it.
|
||||
|
||||
Full boundary and legal context: [`docs/legal-and-safety.md`](docs/legal-and-safety.md).
|
||||
@@ -32,14 +33,16 @@ Optional features and installation groups are documented in [`docs/installation.
|
||||
|
||||
`maintain.sh` runs dependency freshness and security checks, Ruff, Pyright scoped to `src/`, and the parallel test suite. Full-project Pyright is not the project gate because the ML dependency graph can exhaust Node memory.
|
||||
|
||||
The gate does not pass `--ignore-unfixed` to uv-secure, so a transitive CVE with no released fix stops it before Ruff, Pyright and the tests run. This matches the global rule: run and report those three separately. Scanner failures are fatal too. Triaged blockers and the recheck procedure: `Known security-gate blocks` in [`docs/development.md`](docs/development.md).
|
||||
The gate does not pass `--ignore-unfixed` to uv-secure, so a transitive CVE with no released fix stops it before Ruff, Pyright and the tests run. Scanner failures are fatal too. The gate also runs `scripts/sync_c2pa_soft_bindings.py --check`, which fails when the packaged C2PA soft-binding registry snapshot is stale; rerun it without `--check` to refresh the snapshot from upstream. Triaged blockers and the recheck procedure: `Known security-gate blocks` in [`docs/development.md`](docs/development.md).
|
||||
|
||||
Command, gate, typing, and model-test invariants auto-load from [`.claude/rules/development.md`](.claude/rules/development.md). Environment recovery, CI behavior, and fixture policy live in [`docs/development.md`](docs/development.md).
|
||||
|
||||
Before a release, read [`docs/release-and-distribution.md`](docs/release-and-distribution.md). Treat the release as complete only after PyPI, Homebrew, the Hugging Face Space, and the ComfyUI Registry are verified; conda is not published. Keep the source-distribution public allowlist.
|
||||
Before a release, read [`docs/release-and-distribution.md`](docs/release-and-distribution.md). Treat the release as complete only after PyPI, Homebrew, the Hugging Face Space, and the ComfyUI Registry are verified; conda is not published. The MCP registry listing publishes itself from `publish-mcp-registry.yml` and does not block a release. Keep the source-distribution public allowlist.
|
||||
|
||||
The published Agent Skill is [`skills/remove-ai-watermarks/`](skills/remove-ai-watermarks/). Update it in the same change as any CLI edit that alters commands, extras, exit codes, mark keys, or the intended-use boundary. Install and publish steps: [`docs/agent-skill.md`](docs/agent-skill.md).
|
||||
|
||||
The same skill tree is the Codex plugin (`.codex-plugin/plugin.json`). `remove-ai-watermarks mcp` is a standard-library MCP server that runs one CLI command per tool call; keep it dependency-free, because the MCP registry launches it as a bare `uvx remove-ai-watermarks mcp` that cannot add extras ([`docs/mcp-server.md`](docs/mcp-server.md)).
|
||||
|
||||
## Module architecture
|
||||
|
||||
[`docs/module-internals.md`](docs/module-internals.md) is the canonical per-module map, including design decisions, thresholds, calibration history, incident records, and regression guards. Read the relevant section before changing a subsystem.
|
||||
|
||||
@@ -6,6 +6,15 @@ Remove AI provenance marks from images and video you generated yourself:
|
||||
- invisible pixel watermarks through direct local-format disruption or diffusion regeneration;
|
||||
- C2PA, EXIF, XMP, IPTC, and related AI metadata.
|
||||
|
||||
| Before | After |
|
||||
| --- | --- |
|
||||
|  |  |
|
||||
|
||||
```bash
|
||||
uv tool install "remove-ai-watermarks[visible]" # CLI for visible marks and metadata
|
||||
npx skills add wiltodelta/remove-ai-watermarks # agent skill for Claude Code, Codex, Cursor, and other agents
|
||||
```
|
||||
|
||||
Video support covers provenance identification, complete visible-plus-metadata
|
||||
cleaning, directory batches, visible Sora, Veo, Seedance, Doubao, Dola,
|
||||
Hailuo AI, and Kling AI mark removal, and oracle-certified VAE regeneration for video SynthID
|
||||
@@ -23,6 +32,7 @@ removal.
|
||||
[](https://github.com/wiltodelta/remove-ai-watermarks/actions/workflows/test.yml)
|
||||
[](https://github.com/sponsors/wiltodelta)
|
||||
[](https://skills.sh/wiltodelta/remove-ai-watermarks)
|
||||
[](https://glama.ai/mcp/servers/wiltodelta/remove-ai-watermarks)
|
||||
|
||||
> This is a research project on AI provenance signals, for lawful use on content
|
||||
> you own. It is provided as is, without warranty or liability, and each user is
|
||||
@@ -274,11 +284,8 @@ features, and development setup.
|
||||
|
||||
### Visible Gemini mark
|
||||
|
||||
| Before | After |
|
||||
| --- | --- |
|
||||
|  |  |
|
||||
|
||||
The `after` raster is generated from the tracked `before` raster by the public path:
|
||||
The `after` raster at the top of this page is generated from the tracked `before`
|
||||
raster by the public path:
|
||||
|
||||
```bash
|
||||
uv run remove-ai-watermarks visible demo_banana_before.png \
|
||||
@@ -476,9 +483,23 @@ Claude Code can add this repository as a plugin marketplace:
|
||||
/plugin install remove-ai-watermarks@remove-ai-watermarks
|
||||
```
|
||||
|
||||
Codex reads the same skill through [`.codex-plugin/plugin.json`](.codex-plugin/plugin.json).
|
||||
The skill refuses stock-agency and other third-party paid-asset marks. See
|
||||
[the agent skill guide](docs/agent-skill.md).
|
||||
|
||||
## MCP server
|
||||
|
||||
`remove-ai-watermarks mcp` serves `identify`, `remove` and `batch` as Model
|
||||
Context Protocol tools over stdio, each a thin wrapper around one CLI command:
|
||||
|
||||
```json
|
||||
{"mcpServers": {"remove-ai-watermarks": {"command": "uvx", "args": ["remove-ai-watermarks", "mcp"]}}}
|
||||
```
|
||||
|
||||
See [the MCP server guide](docs/mcp-server.md).
|
||||
|
||||
<!-- mcp-name: io.github.wiltodelta/remove-ai-watermarks -->
|
||||
|
||||
## ComfyUI
|
||||
|
||||
The separate
|
||||
@@ -490,6 +511,8 @@ invisible removal.
|
||||
|
||||
- A missing local signal means unknown, not clean. Proprietary pixel
|
||||
watermarks may remain after metadata has been stripped.
|
||||
[What each path leaves behind](docs/known-limitations.md#what-each-path-leaves-behind)
|
||||
lists, per command, what may remain and how to check it.
|
||||
- Visible removal reconstructs a small region. Results depend on the background
|
||||
and selected fill backend.
|
||||
- Invisible removal changes the whole image and may alter faces, text, or fine
|
||||
|
||||
@@ -0,0 +1,20 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" width="512" height="512" fill="none" stroke="url(#lg)" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<!--
|
||||
The raiw.cc brand mark: the Lucide "sparkle" and "x" glyphs.
|
||||
Lucide, https://lucide.dev, ISC License, Copyright (c) Lucide Contributors.
|
||||
Permission to use, copy, modify, and/or distribute this software for any purpose
|
||||
with or without fee is hereby granted, provided that the above copyright notice
|
||||
and this permission notice appear in all copies.
|
||||
-->
|
||||
<path d="M11.017 2.814a1 1 0 0 1 1.966 0l1.051 5.558a2 2 0 0 0 1.594 1.594l5.558 1.051a1 1 0 0 1 0 1.966l-5.558 1.051a2 2 0 0 0-1.594 1.594l-1.051 5.558a1 1 0 0 1-1.966 0l-1.051-5.558a2 2 0 0 0-1.594-1.594l-5.558-1.051a1 1 0 0 1 0-1.966l5.558-1.051a2 2 0 0 0 1.594-1.594z" fill="url(#lg)" fill-opacity="0.15"/>
|
||||
<g transform="translate(1 17) scale(0.3)" stroke-width="5">
|
||||
<path d="M18 6 6 18"/>
|
||||
<path d="m6 6 12 12"/>
|
||||
</g>
|
||||
<defs>
|
||||
<linearGradient id="lg" x1="0" y1="0" x2="24" y2="24">
|
||||
<stop stop-color="#a78bfa"/>
|
||||
<stop offset="1" stop-color="#06b6d4"/>
|
||||
</linearGradient>
|
||||
</defs>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 1.2 KiB |
@@ -5,4 +5,4 @@ seedance,ByteDance Seedance,visible boxed AI label,data/fixtures/visible/seedanc
|
||||
doubao,ByteDance Doubao,visible fixed text,data/fixtures/visible/doubao/example.mp4,partial,"synthetic detector fixture available; a real public carrier is retained locally but is not publication-cleared",repository
|
||||
dola,ByteDance Dola,visible fixed text,data/fixtures/visible/dola/example.mp4,partial,synthetic detector fixture available; no redistributable provider original found,repository
|
||||
hailuo,MiniMax Hailuo AI,visible composite label,data/fixtures/visible/hailuo/provider-original.mp4,available,"authenticated Hailuo AI MiniMax H3 original downloaded with With Watermark selected; detected by Hailuo engine on 124/124 frames; TC260 AIGC label names MiniMax",repository
|
||||
kling,Kuaishou Kling AI,visible fixed logo and wordmark,data/fixtures/visible/kling/provider-original.mp4,available,"authenticated Kling AI VIDEO 3.0 original; detected by Kling engine on 121/121 frames; no locally readable provenance metadata",Kling AI terms; noncommercial fixture
|
||||
kling,Kuaishou Kling AI,visible fixed logo and wordmark,data/fixtures/visible/kling/provider-original.mp4,available,"authenticated Kling AI VIDEO 3.0 original; detected by Kling engine on 121/121 frames; no container provenance metadata, but the Kling H.264 SEI tag (kling_sei) is readable",Kling AI terms; noncommercial fixture
|
||||
|
+28
-11
@@ -55,21 +55,38 @@ Do these in order after the skill is on the default branch.
|
||||
today. One accurate PR per list, with the scope sentence intact.
|
||||
- `ComposioHQ/awesome-claude-skills`: submitted 2026-09-05 as PR 1841
|
||||
(Creative & Media); no maturity bar in its contribution rules. Rechecked
|
||||
2026-09-11: still open, CI green, no review comments, waiting on the
|
||||
list maintainers.
|
||||
2026-10-19: still open, CI green, labelled `ready-to-merge`, no maintainer
|
||||
comment since the 2026-09-11 check-in.
|
||||
- `heilcheng/awesome-agent-skills`: submitted 2026-09-09 as PR 483 under
|
||||
Community Skills > Media. The skill's three concrete input/output examples
|
||||
satisfy the list's working-example requirement. Rechecked 2026-09-11:
|
||||
still open; the only check failure is their Vercel deploy authorization,
|
||||
which a contributor cannot grant.
|
||||
- `VoltAgent/awesome-agent-skills`: DEFERRED. Its CONTRIBUTING rejects
|
||||
brand-new skills ("give your skill time to mature and gain users before
|
||||
submitting"). The skill now has real installs and shipped releases, but
|
||||
adoption remains too small to make the list's maturity claim comfortably.
|
||||
satisfy the list's working-example requirement. On 2026-10-15 the
|
||||
maintainer labelled it `on hold`: "Tool strips AI provenance
|
||||
(SynthID/C2PA); policy call for maintainer". The only check failure is
|
||||
their Vercel deploy authorization, which a contributor cannot grant.
|
||||
- `VoltAgent/awesome-agent-skills`: submitted 2026-10-17 as PR 1225, a
|
||||
one-line entry. Its CONTRIBUTING requires "real community usage" ("Give
|
||||
your skill time to mature and gain users before submitting"). Rechecked
|
||||
2026-10-19: open, no review yet.
|
||||
- `VoltAgent/awesome-openclaw-skills`: DEFERRED on adoption only. Entries
|
||||
are indexed via clawskills.sh, and the ClawHub prerequisite in step 6 is
|
||||
now met. The list still requires proven real-world usage. Re-attempt once
|
||||
the ClawHub listing shows organic installs.
|
||||
- `hashgraph-online/awesome-codex-plugins`: submitted 2026-10-18 as PR 541
|
||||
and merged 2026-10-19, so the entry is live. It lists
|
||||
only Codex plugins, so it needs `.codex-plugin/plugin.json` and the icon in
|
||||
`assets/icon.svg`. Its contribution CI runs `scripts/validate-plugin-pr.py`
|
||||
against the repository's `HEAD.zip`, then the HOL plugin scanner with a
|
||||
minimum score of 80 and no high finding; that scan job is
|
||||
`continue-on-error`, so it reports rather than blocks. The scanner's `\beval\s*\(`
|
||||
rule also matches PyTorch's `.eval()`, which is why the code calls
|
||||
`.train(False)`. On 2026-10-17 `plugin-scanner` 3.49.0 scored the tree 86
|
||||
with no high finding. The remaining loss is a tracked video over the
|
||||
scanner's 16 MiB file budget. Recheck with
|
||||
`uvx --from plugin-scanner==3.49.0 plugin-scanner scan . --min-score 80 --fail-on-severity high`.
|
||||
- `punkpeye/awesome-mcp-servers`: submitted 2026-10-18 as PR 16924 for the
|
||||
MCP server. The list requires a Glama listing and the Glama score badge;
|
||||
its bot labelled the PR `has-glama`. Rechecked 2026-10-19: open, every
|
||||
check green, no maintainer review yet.
|
||||
5. **Claude community marketplace.** Form at
|
||||
[platform.claude.com/plugins/submit](https://platform.claude.com/plugins/submit)
|
||||
(individuals) or the claude.ai directory form (Team/Enterprise). Validate
|
||||
@@ -191,8 +208,8 @@ that names a command, flag or value the previous release lacked. Left behind, it
|
||||
CLI is current right before it types an option that build rejects.
|
||||
|
||||
Bump `metadata.version` in `SKILL.md` plus `version` in
|
||||
`skills/.claude-plugin/plugin.json` and `.claude-plugin/marketplace.json` when
|
||||
the skill instructions change. That version is independent of the PyPI package
|
||||
`skills/.claude-plugin/plugin.json`, `.claude-plugin/marketplace.json` and
|
||||
`.codex-plugin/plugin.json` when the skill instructions change. That version is independent of the PyPI package
|
||||
version.
|
||||
|
||||
## Behavior evals
|
||||
|
||||
+19
-2
@@ -28,6 +28,7 @@ defaults. This page focuses on choosing the right command.
|
||||
| `video invisible` and `video all --invisible` | `remove-ai-watermarks[video,diffusion]` plus ffmpeg on PATH |
|
||||
| HEIC/HEIF/AVIF pixel input | Add `remove-ai-watermarks[heif]` |
|
||||
| Every production command and Python-compatible backend | `remove-ai-watermarks[all]` |
|
||||
| `mcp` | Default package; each tool needs the extra of the command it runs |
|
||||
|
||||
`batch` requires the same extra as its selected mode. Extras can be combined in
|
||||
one installation, for example `remove-ai-watermarks[visible,detect,heif]`.
|
||||
@@ -469,6 +470,11 @@ detected. Use `--force` when you know the image should be processed:
|
||||
remove-ai-watermarks invisible image.png -o clean.png --force
|
||||
```
|
||||
|
||||
For transparent inputs, use PNG or WebP output to retain transparency. The engine
|
||||
preserves the original alpha channel, including partially transparent edges,
|
||||
while regenerating RGB pixels. JPEG output cannot preserve transparency. This
|
||||
also applies to `batch --mode invisible`.
|
||||
|
||||
### Choose a strength cohort
|
||||
|
||||
`--vendor` selects the cohort the default strength resolves from. `auto`
|
||||
@@ -685,12 +691,23 @@ For `visible` and `all` modes, the final summary includes counts for
|
||||
validation results are printed explicitly, but the once-filled outputs are kept
|
||||
and the batch does not retry them automatically.
|
||||
|
||||
## Serve the CLI to agent clients
|
||||
|
||||
```bash
|
||||
remove-ai-watermarks mcp
|
||||
```
|
||||
|
||||
Runs a Model Context Protocol server on stdin and stdout whose `identify`,
|
||||
`remove` and `batch` tools each run one command of this CLI. Client setup and
|
||||
the tool contract are in the [MCP server guide](mcp-server.md).
|
||||
|
||||
## Exit behavior
|
||||
|
||||
The CLI uses nonzero exit codes for meaningful incomplete outcomes, including
|
||||
no detected target on commands that would otherwise regenerate or create a
|
||||
misleading unchanged result, processing errors, and a required invisible step
|
||||
that could not run.
|
||||
misleading unchanged result, a batch directory with nothing to process,
|
||||
processing errors, an input that is not a readable image or video, and a
|
||||
required invisible step that could not run.
|
||||
|
||||
Scripts should check the process exit code and the output path. The detailed
|
||||
per-command contract is maintained in
|
||||
|
||||
+1
-1
@@ -14,7 +14,7 @@ Read this reference for environment setup, dependency recovery, CI behavior, and
|
||||
- On an unreliable connection, sync `dev` plus only the required feature extras, such as `diffusion`, and run the checks directly instead of downloading every optional learned backend.
|
||||
- Run `uv` from the repository root or it may create a bare environment without the project dependencies.
|
||||
|
||||
`maintain.sh` starts with `uv sync --all-extras`, so a lean environment is replaced whenever the gate runs. Syncing back down can leave `opencv-python-headless` half-removed: `import cv2` then succeeds against an empty namespace while `cv2.INTER_LINEAR` is gone, which surfaces as a suite that stalls or reports hundreds of unrelated failures. Repair it with `uv sync --frozen --extra dev --reinstall-package opencv-python-headless` rather than re-reading the diff.
|
||||
`maintain.sh` starts with `uv sync --all-extras`, so a lean environment is replaced whenever the gate runs. Syncing back down can leave `opencv-python-headless` half-removed: `import cv2` then succeeds against an empty namespace while `cv2.INTER_LINEAR` is gone, which surfaces as a suite that stalls or reports hundreds of unrelated failures. Repair it with `uv sync --frozen --extra dev --reinstall-package opencv-python-headless` rather than re-reading the diff. A stale worktree environment can fail differently: `import cv2` raises `partially initialized module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'`, because the lock installs `opencv-contrib-python` 4.x beside `opencv-python` 5.x into one `cv2` directory. Reinstalling the three OpenCV packages did not fix that on 2026-10-17; deleting the worktree's `.venv` and running `uv sync --frozen --all-extras` did.
|
||||
|
||||
Pyright is only meaningful with the extras its imports need. Scoped to `src/`, a lean environment reports `TrustMark`, `transformers` and `huggingface_hub` as unresolved, which reads as a type error and is not one; add `--extra trustmark --extra classify` before believing it.
|
||||
|
||||
|
||||
+2
-1
@@ -27,7 +27,8 @@ to run the tool. Use the maintainer references only when changing the code.
|
||||
| [Code provenance](code-provenance.md) | Required notices for licensed derivative work. |
|
||||
| [Verification plan](verification-plan.md) | Verification methods, completed measurements, and remaining validation gaps. |
|
||||
| [Release and distribution](release-and-distribution.md) | PyPI, Homebrew, Hugging Face Space, photo-classify Hub model, ComfyUI Registry, and the release workflow. |
|
||||
| [Agent skill](agent-skill.md) | Install and maintain the published Agent Skill and Claude plugin. |
|
||||
| [Agent skill](agent-skill.md) | Install and maintain the published Agent Skill, the Claude plugin and the Codex plugin. |
|
||||
| [MCP server](mcp-server.md) | Connect an MCP client to `remove-ai-watermarks mcp`, or publish it to the MCP registry. |
|
||||
| [Watermarking landscape](watermarking-landscape.md) | Vendor signals and detection approaches. |
|
||||
| [SynthID technical reference](synthid.md) | Mechanism, provenance, robustness, regeneration. |
|
||||
|
||||
|
||||
@@ -4,6 +4,21 @@ This page describes current product limits. Historical measurements and
|
||||
superseded experiments live in the research archive listed in
|
||||
[the documentation index](index.md).
|
||||
|
||||
## What each path leaves behind
|
||||
|
||||
No command produces a "clean" verdict. Each one removes a specific layer, and
|
||||
the remaining layers need their own check.
|
||||
|
||||
| Path | Removes | May remain | How to check what remains |
|
||||
| --- | --- | --- | --- |
|
||||
| `metadata --remove`, `video metadata --remove` | Supported AI metadata: C2PA manifests, TC260 labels, IPTC AI fields, app-export JSON, generation parameters | Every pixel and audio watermark (SynthID, Meta Content Seal, InvisMark, TrustMark, DWT-DCT). A C2PA soft binding can still lead a resolver to a manifest stored remotely. Strings inside encoded video streams, such as H.264 SEI messages, stay too, except Kling's SEI tag, which `video metadata --remove` blanks | `identify` re-reads the metadata. Only the provider's verifier can confirm a pixel watermark. The pixels are not regenerated, so an AI-image classifier scores the output the same as the input |
|
||||
| `visible`, `erase`, `video visible` | The selected label region, refilled. AI metadata too, unless `--keep-metadata` is given | Any invisible watermark across the rest of the frame. The fill can leave a visible patch on structured backgrounds | Look at the output. Use `identify` for metadata and the provider's verifier for invisible marks |
|
||||
| `invisible`, `all`, `video invisible` | Regenerates pixels to disrupt invisible watermarks. `all` also removes visible marks and metadata | No local decoder confirms that SynthID is gone from a given file, and the outcome depends on content and seed. `video invisible` copies the audio track unchanged, so an audio watermark survives | The provider's verifier, such as Google's SynthID Detector or OpenAI's provenance check. A pass there says nothing about AI-image classifiers |
|
||||
| `identify`, `video identify` | Nothing | Not applicable | `unknown` means no supported local signal was found. It is not a clean verdict |
|
||||
|
||||
AI-image classifiers are a separate question from provenance. They score how
|
||||
the pixels look rather than read a mark, and none of these paths targets them.
|
||||
|
||||
## Pixel classification
|
||||
|
||||
`classify` / `classify_pixels` is AI versus camera, not a universal AI detector.
|
||||
@@ -263,7 +278,9 @@ guarantee, and check the audio separately when it matters. The question is no
|
||||
longer Google-only: since 2026 OpenAI (ChatGPT and API audio) and ElevenLabs
|
||||
also embed SynthID in generated audio, and Microsoft lists provenance for its
|
||||
Azure speech and GPT audio models, so voice-over or music from those services
|
||||
muxed into any video survives this path unchanged.
|
||||
muxed into any video survives this path unchanged. Suno announced audio
|
||||
watermarking and fingerprinting on 2026-08-06 without naming the technology, so
|
||||
Suno music belongs on the same list.
|
||||
|
||||
The public video results make that boundary explicit without decoding audio:
|
||||
`visual_invisible_action` records whether video pixels were regenerated, while
|
||||
@@ -604,8 +621,9 @@ stream safely.
|
||||
raising. User facing callers must use `strip_and_verify` and inspect its
|
||||
surviving marker mapping before reporting success. `strip_and_verify` recovers
|
||||
when `image_io` can still decode the raster by normalizing the container and
|
||||
checking again. A truly undecodable file still reports the surviving markers.
|
||||
The CLI uses this verified path.
|
||||
checking again. A truly undecodable file raises `ValueError` before anything is
|
||||
written (since 2026-10-18; it used to be copied through with its surviving
|
||||
markers). The CLI uses this verified path.
|
||||
|
||||
### Sixteen bit PNG metadata stripping
|
||||
|
||||
|
||||
@@ -46,6 +46,21 @@ It also does not add templates for regulator-defined disclosure icons, such as
|
||||
the EU icons in Annex 1 of the Code of Practice on marking and labelling of
|
||||
AI-generated content, which deployers use to disclose deepfakes.
|
||||
|
||||
It does not remove product branding that a paid plan of the same product turns
|
||||
off, such as the "Made with Gamma" badge. A visible mark stays in scope when its
|
||||
vendor describes it as identifying AI-generated content, whichever plan turns it
|
||||
off: the Gemini sparkle, or the
|
||||
[visible watermark](https://support.google.com/gemininotebook/answer/16213268)
|
||||
that Gemini Notebook, formerly NotebookLM, adds to generated images and videos.
|
||||
|
||||
Watermarks in LLM-generated text are out of scope. The Claude and OpenAI text
|
||||
marks change which words the model chooses and add no hidden characters
|
||||
([Anthropic](https://www.anthropic.com/news/claude-text-watermark),
|
||||
[OpenAI](https://help.openai.com/en/articles/8912793-provenance-signals-in-openai-generated-content)).
|
||||
Stripping invisible Unicode does not touch them, only a substantial rewrite
|
||||
removes them, and their detectors are not public, so no removal could be
|
||||
verified.
|
||||
|
||||
The `erase` command is a generic region tool. Users are responsible for having
|
||||
the right to edit the selected content.
|
||||
|
||||
|
||||
@@ -0,0 +1,95 @@
|
||||
# MCP server
|
||||
|
||||
`remove-ai-watermarks mcp` runs a [Model Context Protocol](https://modelcontextprotocol.io/)
|
||||
server on stdin and stdout, so an agent client can identify and clean the
|
||||
user's own images and video without a shell. It is a thin wrapper: each tool
|
||||
runs one command of this CLI in a child process and returns that command's exit
|
||||
code, output path and text.
|
||||
|
||||
The subcommand ships since 0.46.0. The server uses only the Python standard
|
||||
library, so the default package runs it. The commands behind a tool need the
|
||||
same extras they need on the command line
|
||||
([CLI guide](cli.md#command-dependency-map)). A missing extra comes back as a
|
||||
tool error carrying the CLI's install hint.
|
||||
|
||||
## Client configuration
|
||||
|
||||
Most clients take a command and arguments. With [uv](https://docs.astral.sh/uv/):
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"remove-ai-watermarks": {
|
||||
"command": "uvx",
|
||||
"args": ["remove-ai-watermarks", "mcp"]
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
To make visible-mark removal and pixel detectors available, name the extras:
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"remove-ai-watermarks": {
|
||||
"command": "uvx",
|
||||
"args": ["--from", "remove-ai-watermarks[visible,video]", "remove-ai-watermarks", "mcp"]
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
An existing installation can be started directly as `remove-ai-watermarks mcp`.
|
||||
Paths in tool calls are read and written on the machine that runs the server.
|
||||
|
||||
## Tools
|
||||
|
||||
| Tool | Runs | Writes |
|
||||
| --- | --- | --- |
|
||||
| `identify` | `identify --json`, or `video identify --json` for a video suffix; `check_visible: false` adds `--no-visible` | Nothing |
|
||||
| `remove` | `metadata --remove`, `visible` or `all` for an image; `video metadata --remove`, `video visible` or `video all` for a video | One output file, `<name>_clean` beside the source unless `output` is given |
|
||||
| `batch` | `batch --mode` for images or `video batch --mode` for video | A separate output directory, `<dir>_clean` unless `output_dir` is given |
|
||||
|
||||
`mode` is `metadata` (the default), `visible` or `all`. For an image, `all`
|
||||
adds the invisible-watermark scrub where the installed extras and a CUDA GPU
|
||||
allow it; `video all` removes visible marks and metadata only. The server never
|
||||
writes over an input: an `output` equal to the source, or an `output_dir` equal
|
||||
to the input directory, is refused before anything runs.
|
||||
|
||||
Exit codes keep their CLI meaning. `0` and `2` are results, not tool errors, and
|
||||
`2` means no supported signal was found, or a `batch` directory held nothing to
|
||||
process, which is unknown rather than clean. An
|
||||
input that is not a readable image or video exits `1`, so `identify` on it is a
|
||||
tool error even though the command still printed a report.
|
||||
Click also exits `2` on a usage error such as a missing file; its `Usage:` line on
|
||||
stderr marks that case as a tool error. Every other nonzero exit code is returned
|
||||
with `isError: true` and the command's stderr.
|
||||
|
||||
## Scope
|
||||
|
||||
The server carries the project's intended-use boundary in its `instructions`:
|
||||
it is for content the user generated or edited themselves, and not for stock,
|
||||
agency, marketplace or other marks that protect a third party's asset. See
|
||||
[legal and safety](legal-and-safety.md).
|
||||
|
||||
## Protocol
|
||||
|
||||
The server answers the initialize handshake for protocol versions 2025-11-25,
|
||||
2025-06-18, 2025-03-26 and 2024-11-05, and lists its tools with input schemas
|
||||
and annotations: `identify` is read-only, and `remove` and `batch` write new
|
||||
files without destroying inputs. It does not implement `server/discover`. A
|
||||
client that probes it first, such as the official Python SDK's `Client` in its
|
||||
default mode, receives method-not-found and falls back to the handshake.
|
||||
`tests/test_mcp_server.py` runs that client against the real subcommand.
|
||||
|
||||
## Registry listing
|
||||
|
||||
[`server.json`](../server.json) describes the PyPI package for the
|
||||
[official MCP registry](https://registry.modelcontextprotocol.io/) under
|
||||
`io.github.wiltodelta/remove-ai-watermarks`. The registry verifies ownership by
|
||||
the `mcp-name:` marker in `README.md`, which becomes the PyPI description, so it
|
||||
can only verify a release whose README carries that marker.
|
||||
[`glama.json`](../glama.json) names the maintainer for Glama. Each release is
|
||||
published automatically; the workflow is described in
|
||||
[release and distribution](release-and-distribution.md#mcp-registry).
|
||||
@@ -47,7 +47,31 @@ Important contracts:
|
||||
`EXIT_NO_VISIBLE_MARK`.
|
||||
- `invisible` writes no output when no supported local signal is found, unless
|
||||
`--force` is supplied.
|
||||
- The two no-signal conditions currently share exit code `2`.
|
||||
It decodes the source before the scrub gate and exits `1` when it cannot,
|
||||
because the gate reads undecodable bytes as "no target" and would otherwise
|
||||
report the no-signal code for a file it never read (fixed 2026-10-17).
|
||||
- The two no-signal conditions currently share exit code `2`, and so does a
|
||||
`batch` or `video batch` directory with no supported file, which writes
|
||||
nothing (decided 2026-10-18).
|
||||
- An input that is not a readable container exits `1` from `identify`,
|
||||
`metadata` and every `video` command, and fails its row in `batch` and `video
|
||||
batch` (fixed 2026-10-18). The metadata scanners read raw bytes, so random
|
||||
bytes, an empty file or a truncated PNG or MP4 used to print the same "No AI
|
||||
metadata found" or "AI metadata stripped" a real file gets, with exit `0`.
|
||||
`metadata.unreadable_reason` is the one probe: rasters must decode in Pillow or
|
||||
OpenCV, ISOBMFF boxes and EBML elements must tile the file, and a RIFF file must
|
||||
hold its declared size. `strip_and_verify` and `video._video_source` ask it, and
|
||||
`identify` prints its report first, so an AI signal read from a truncated file
|
||||
is still shown. Absent optional detectors are not unreadable input: without the
|
||||
pixel stack `identify` keeps exit `0` and its caveat (decided 2026-10-18).
|
||||
Regression coverage: `tests/test_fail_closed.py`.
|
||||
- `visible` and `erase` strip and verify AI metadata on a staged sibling and exit
|
||||
`1` with nothing published when a marker survives; they used to swallow a failed
|
||||
strip unless `--verbose` was set. The library `remove_visible` does the same and
|
||||
raises `MetadataStripIncomplete`, as `remove_all` already did, and the diffusion
|
||||
writer behind `invisible` raises when its own strip leaves a marker.
|
||||
`_internal.utils.staged_sibling` is the shared stage: it never pre-creates the
|
||||
name, so the published file keeps the default permissions.
|
||||
- A quiet `metadata --check` and a successful `metadata --remove` (same for
|
||||
`video metadata`) end by repeating the `identify` limit: the pixel channel is
|
||||
untouched and a watermark such as SynthID has no local decoder once its
|
||||
@@ -236,10 +260,54 @@ payloads; TC260 removal changes the four-byte key to `free` and blanks only the
|
||||
validated JSON value with same-length spaces. Keyed generation metadata such
|
||||
as `workflow` and `prompt` uses the same structural walk; removal blanks the
|
||||
complete key and value in place. This preserves every box size,
|
||||
`stco`/`co64` offset, encoded stream byte, and source-sized memory bound.
|
||||
Publication is atomic, and a malformed top-level walk is copied unchanged. A
|
||||
`stco`/`co64` offset, encoded stream byte apart from the Kling SEI tag below, and
|
||||
source-sized memory bound.
|
||||
Publication is atomic, and a malformed top-level walk is copied unchanged,
|
||||
although `strip_and_verify` refuses such a source before the stripper runs. A
|
||||
generic `AIGC` key whose value has no TC260 field is ignored.
|
||||
|
||||
The in-memory image path (AVIF, HEIF, JPEG-XL and unknown suffixes, through
|
||||
`strip_c2pa_boxes`) blanks the same top-level boxes to same-size `free` boxes.
|
||||
It used to drop them, which moved `mdat` under an unchanged `iloc`: a phone HEIC
|
||||
whose C2PA `uuid` box preceded `mdat` came out undecodable (2026-10-13).
|
||||
`tests/test_metadata.py::TestIsobmffStripKeepsOffsets` decodes a cleaned HEIC to
|
||||
guard it.
|
||||
|
||||
App-export JSON in a keyed or keyless metadata item is blanked the same way.
|
||||
Dreamina's MP4 export writes it twice, under `LvMetaInfo` and
|
||||
`com.apple.quicktime.artwork`. The file-level scan read both from the raw head
|
||||
bytes while the stripper walked only TC260 and generation keys, so
|
||||
`video metadata --remove` exited 1 with both markers still present on the
|
||||
tracked Dreamina fixture (found 2026-10-17). Its `UserComment`
|
||||
(`{"aigc_label_type":0,"source_info":"dreamina"}`) and `comment` (`vid:...`)
|
||||
items carry no marker the scan counts, so they stay.
|
||||
|
||||
`test_no_flagged_metadata_value_survives_in_the_output_bytes` strips every
|
||||
tracked MP4 fixture and searches the output byte for byte for each flagged
|
||||
source value, after the pattern of byte-level leftover checks in public video
|
||||
scrubbers. The walk reaches container metadata only. Strings inside the encoded
|
||||
streams are out of its reach with one exception: x264 writes its version and
|
||||
options as an H.264 SEI message, which is not AI provenance and survives the
|
||||
stream copy; only a path that re-encodes the video stream (`video visible`,
|
||||
`video invisible`) replaces it.
|
||||
|
||||
The exception is Kling's encoder tag. Every Kling video in the tracked fixtures
|
||||
and local captures (Kling 2.6, 3.0, 3.0 Omni and O3, through Higgsfield, Runway
|
||||
and Kling itself) carries one H.264 `user_data_unregistered` SEI message, payload
|
||||
type 5, whose 25-byte payload is UUID `91ca6061-4aee-3854-8614-2d5f73f4ae2e`,
|
||||
`kling-ai` and a NUL. `get_ai_metadata` reports it as `kling_sei` from the head
|
||||
window, and `identify_video` names Kling from it when no TC260 label does, as on
|
||||
`data/fixtures/visible/kling/provider-original.mp4`, which carries no other
|
||||
signal. The streaming stripper finds every copy of the UUID plus `kling-ai` in
|
||||
each top-level `mdat` during the copy pass it already makes, so the file is still
|
||||
read once, and overwrites those 24 bytes with spaces. The NAL length,
|
||||
SEI header and payload size stay, and a run of 0x20 cannot form an
|
||||
emulation-prevention sequence, so the message stays well-formed and no decoder
|
||||
reads it: `ffmpeg -f framemd5` hashes of every frame match before and after on
|
||||
both tracked Kling fixtures (found and fixed 2026-10-17). The QuickTime `©cmt` item in
|
||||
the Grok fixture (`Signature: <base64>`) also survives, because the xAI
|
||||
signature rule requires the UUID half of the pair and that half is absent here.
|
||||
|
||||
[`_internal/ebml.py`](../src/remove_ai_watermarks/_internal/ebml.py) provides the
|
||||
corresponding bounded Matroska/WebM reader. It seeks over clusters and accepts
|
||||
only a `Segment.Tags.Tag.SimpleTag` pairing `TagName=AIGC` with a JSON
|
||||
@@ -637,6 +705,10 @@ the official C2PA registry. Refresh it with
|
||||
upstream schema invariants, records the exact source revision and writes a
|
||||
deterministic module. Runtime inspection remains offline, and registry membership
|
||||
is name-only evidence rather than proof that a compatible decoder ships.
|
||||
`--check`, run by `maintain.sh` and the CI lint job ahead of Ruff, compares the
|
||||
snapshot with the live upstream revision, so an upstream registry commit fails
|
||||
lint on `main` and on every pull request until the snapshot is refreshed, and the
|
||||
Ruff step behind it does not run until then.
|
||||
The GitHub API revision lookup sends `GITHUB_TOKEN` (or `GH_TOKEN`) when set,
|
||||
because the unauthenticated 60 requests/hour per IP limit is exhausted on
|
||||
shared CI runners; `.env.example` documents the variable.
|
||||
@@ -779,7 +851,7 @@ Key contracts:
|
||||
written output for surviving markers. If the metadata-preserving decoder
|
||||
rejected the container but `image_io` can still decode its raster,
|
||||
`strip_and_verify` normalizes that raster and scans again. A truly undecodable
|
||||
file keeps the surviving-marker result.
|
||||
file raises `ValueError` before anything is written.
|
||||
|
||||
Detection and removal must stay in parity. A new marker is incomplete until the
|
||||
scanner can find it, the remover can reach every supported placement, and a
|
||||
@@ -1501,6 +1573,15 @@ schemas 0-2 count as positives. Schema 3 is below the precision threshold: all
|
||||
same false payload after re-encoding. The official Adobe Variant P schema-1
|
||||
fixture in `data/fixtures/provenance/` is the positive regression control.
|
||||
|
||||
An independent benchmark supports gating beyond a valid codeword. Kazempourradi
|
||||
et al. ([arXiv:2610.04151](https://arxiv.org/abs/2610.04151), section 4.4)
|
||||
found that the blind detectors of TrustMark B, C, P and Q in BCH_5 mode reported
|
||||
a valid codeword on at least one of four decodes for 5.9% (P) to 15.3% (C) of 85
|
||||
unmarked images, and on 3 of 8 images in a 16-bit HDR subset. Testing the same
|
||||
decodes against the expected payload produced no false match. This detector is
|
||||
blind and has no expected payload, so the re-encode stability and schema
|
||||
restriction above stand in for that test.
|
||||
|
||||
#### Why the DWT-DCT decoder looks the way it does
|
||||
|
||||
Two things in `dwt_dct.py` are load-bearing and neither is obvious from the code.
|
||||
@@ -2156,6 +2237,13 @@ image sizing, postprocessing, and the public engine
|
||||
interface. It delegates model execution to
|
||||
[`_internal/watermark_remover.py`](../src/remove_ai_watermarks/_internal/watermark_remover.py).
|
||||
|
||||
The engine preserves source transparency for alpha-capable outputs. It captures
|
||||
alpha after EXIF orientation is applied and before resizing, then rejoins the
|
||||
unchanged alpha plane after restoring the RGB result to the original dimensions
|
||||
and applying postprocessing. This also handles palette and colour-key PNG
|
||||
transparency; diffusion itself still receives RGB. Regression coverage lives in
|
||||
`test_invisible_engine.py::TestTransparency`.
|
||||
|
||||
`get_device` in that module answers only `cuda` or `cpu`. An `mps` or `xpu` answer
|
||||
would travel one frame to the same CUDA-only refusal while costing a device probe,
|
||||
and reporting it implied an Apple-silicon or Intel-GPU path that does not exist.
|
||||
|
||||
+120
-94
@@ -1,9 +1,9 @@
|
||||
# Provider oracle tooling
|
||||
|
||||
`scripts/provider_oracles.py` is the development-only entry point for the four
|
||||
remote watermark-oracle families used by this project. It drives Google through
|
||||
the user's real authenticated Chrome and drives the other public Web surfaces
|
||||
through isolated Playwright. It keeps provider scope, execution identity,
|
||||
remote watermark-oracle families used by this project. It drives Gemini through
|
||||
the user's real authenticated Chrome and drives every other public Web surface,
|
||||
including SynthID Detector, through isolated Playwright. It keeps provider scope, execution identity,
|
||||
immutable media, and verbatim results in one format without exposing any oracle
|
||||
through the installed CLI or public Python API.
|
||||
|
||||
@@ -13,7 +13,8 @@ through the installed CLI or public Python API.
|
||||
| --- | --- | --- | --- |
|
||||
| `openai-api` | OpenAI SynthID | Official Content Provenance API | Images |
|
||||
| `microsoft-api` | Microsoft InvisMark | Azure Content Provenance Detection API | Images |
|
||||
| `gemini-web` | Google SynthID | Signed-in Gemini web account | Images and videos |
|
||||
| `gemini-web` | Google SynthID | User's authenticated Chrome | Images and videos |
|
||||
| `synthid-web` | Partner SynthID | Anonymous Playwright page at synthid.com | None recorded |
|
||||
| `meta-web` | Meta Content Seal | Anonymous Meta identification page | Images |
|
||||
| `microsoft-web` | Microsoft InvisMark | Public Azure AI validation page | Images |
|
||||
| `openai-web` | OpenAI SynthID | Public web verifier | Images |
|
||||
@@ -23,26 +24,53 @@ through the installed CLI or public Python API.
|
||||
The default selection order is API first, then Web. OpenAI therefore plans
|
||||
`openai-api` before `openai-web`, and Microsoft plans `microsoft-api` before
|
||||
`microsoft-web`. Google and Meta currently have no usable API adapter in this
|
||||
tooling, so their Web surfaces are primary rather than fallback routes.
|
||||
tooling, so each of their Web surfaces is primary. Google has two: `gemini-web`
|
||||
and `synthid-web` at `https://synthid.com/`.
|
||||
|
||||
Inspect the machine-readable order before preparing a batch:
|
||||
|
||||
```bash
|
||||
uv run python scripts/provider_oracles.py plan openai --json
|
||||
uv run python scripts/provider_oracles.py plan microsoft
|
||||
uv run python scripts/provider_oracles.py plan google
|
||||
```
|
||||
|
||||
API-first is a selection policy, not automatic failover. Use Web only when the
|
||||
provider, requested media, or local configuration has no usable API route, or
|
||||
when the operator explicitly requests a second surface. An API refusal, quota
|
||||
response, transport failure, or indeterminate verdict is recorded as-is and
|
||||
never silently triggers a Web upload.
|
||||
API-first is the default order. Run the API surface when this tooling has a
|
||||
usable route for the provider, media, and local configuration. Google and Meta
|
||||
have no API surface, so each of their Web oracles is primary. For Google that
|
||||
is `gemini-web`, then `synthid-web`. After a refusal, quota response, transport
|
||||
failure, or indeterminate verdict, record that result and continue with the next
|
||||
surface as its own acknowledged command, then the remaining configured account
|
||||
slots of those surfaces. One call does not upload the same file to the next
|
||||
surface. Keep the verdicts separate. Do not ask for confirmation before the
|
||||
switch. Anyone doing the task may run the configured checks.
|
||||
|
||||
The old Google SynthID Detector portal does not work. On 2026-09-07, the
|
||||
official `labs.google/synthid` entry point redirected a signed-in browser to a
|
||||
Google 404; on 2026-09-23 it redirected to
|
||||
`deepmind.google.com/frontiers/synthid`, which also returned 404. Historical corpus rows may still name `synthid-portal`; that value
|
||||
describes how an old result was obtained and is not an operational surface.
|
||||
The old Google SynthID Detector portal at `labs.google/synthid` does not work.
|
||||
On 2026-09-07 that entry point redirected a signed-in browser to a Google 404;
|
||||
on 2026-09-23 it redirected to `deepmind.google.com/frontiers/synthid`, which
|
||||
also returned 404. Historical corpus rows may still name `synthid-portal`; that
|
||||
value describes how an old result was obtained and is not an operational surface.
|
||||
|
||||
The public SynthID Detector is a different site, [synthid.com](https://synthid.com/),
|
||||
and it is the `synthid-web` surface. On 2026-10-17 the page title was
|
||||
`SynthID Detector`. After the terms dialog, the uploader was present without a
|
||||
completed sign-in in that session. The Account menu still offered Sign in, and
|
||||
no file was submitted, so this check does not show whether a result requires an
|
||||
account. The live FAQ named the partners as Google DeepMind, Nvidia, OpenAI,
|
||||
and Kakao, and it did not list Apple. It defined two settled labels:
|
||||
`Watermark detected` and `Watermark not detected`. The file input accepted
|
||||
`.jpg`, `.jpeg`, `.png`, `.bmp`, `.webp`, `.avif`, `.heic`, `.heif`, `.tiff`,
|
||||
`.tif`, `.gif`, `.wav`, `.mp3`, `.ogg`, `.flac`, `.aac`, `.m4a`, `.mp4`,
|
||||
`.mov`, and `.webm`. This tooling still prepares only the project's existing
|
||||
JPEG, PNG, WebP, MP4, MP3, and WAV suffixes. The portal's additional terms
|
||||
forbid bulk verification and quota evasion. `run-web` may submit one prepared
|
||||
upload through isolated Playwright, with a proxy when the slot names one, and
|
||||
it does not start a sign-in. If the page says `Please sign in before detection.`
|
||||
and returns no watermark label, keep that row and open the same prepared upload
|
||||
in the user's existing real Chrome. That session stays on the direct route, with
|
||||
no proxy and no new login. If that Chrome also asks for sign-in, leave its row
|
||||
unsubmitted. A `Watermark detected` result is partner SynthID, not a Gemini-only
|
||||
or OpenAI-only verdict.
|
||||
Google's newer Search verification entry point did not provide an independent
|
||||
oracle allowance in the session tested on 2026-09-13. Lens accepted the
|
||||
metadata-stripped, previously Gemini-positive image
|
||||
@@ -161,9 +189,12 @@ Adobe Inspect and local C2PA, DWT-DCT, TrustMark, and research detectors are
|
||||
useful evidence readers, not interchangeable provider pixel-watermark oracles.
|
||||
|
||||
The surface capability and this project's evidence coverage are separate. The
|
||||
current Google, Microsoft, and Meta pages accept image, video, and audio inputs;
|
||||
the OpenAI API accepts image and audio. A media type does not become certified
|
||||
merely because a surface accepts it. Run `list --json` to read both fields.
|
||||
current Google, Microsoft, and Meta pages, including `https://synthid.com/`,
|
||||
accept image, video, and audio inputs; the OpenAI API accepts image and audio.
|
||||
A media type does not become certified merely because a surface accepts it.
|
||||
`synthid-web` therefore lists image, video, and audio as accepted media and
|
||||
records no project evidence until a batch is verified. Run `list --json` to read
|
||||
both fields.
|
||||
|
||||
## Execution slots
|
||||
|
||||
@@ -194,36 +225,20 @@ default; `--slots PATH` explicitly overrides it.
|
||||
"network_label": "office"
|
||||
},
|
||||
{
|
||||
"name": "openai-web-thordata-us",
|
||||
"name": "synthid-proxy",
|
||||
"surface": "synthid-web",
|
||||
"account_label": null,
|
||||
"browser_profile": null,
|
||||
"network_label": "thordata",
|
||||
"proxy_url_env": "THORDATA_PROXY"
|
||||
},
|
||||
{
|
||||
"name": "openai-web-proxy",
|
||||
"surface": "openai-web",
|
||||
"account_label": null,
|
||||
"browser_profile": null,
|
||||
"network_label": "thordata-us-residential",
|
||||
"proxy_url_env": "THORDATA_ROUTE_US"
|
||||
},
|
||||
{
|
||||
"name": "microsoft-web-thordata-de",
|
||||
"surface": "microsoft-web",
|
||||
"account_label": null,
|
||||
"browser_profile": null,
|
||||
"network_label": "thordata-de-residential",
|
||||
"proxy_url_env": "THORDATA_ROUTE_DE"
|
||||
},
|
||||
{
|
||||
"name": "meta-web-thordata-us",
|
||||
"surface": "meta-web",
|
||||
"account_label": null,
|
||||
"browser_profile": null,
|
||||
"network_label": "thordata-us-residential",
|
||||
"proxy_url_env": "THORDATA_ROUTE_US"
|
||||
},
|
||||
{
|
||||
"name": "openai-web-thordata-de",
|
||||
"surface": "openai-web",
|
||||
"account_label": null,
|
||||
"browser_profile": null,
|
||||
"network_label": "thordata-de-residential",
|
||||
"proxy_url_env": "THORDATA_ROUTE_DE"
|
||||
"network_label": "thordata",
|
||||
"proxy_url_env": "THORDATA_PROXY"
|
||||
},
|
||||
{
|
||||
"name": "openai-api-1",
|
||||
@@ -261,27 +276,34 @@ default; `--slots PATH` explicitly overrides it.
|
||||
```
|
||||
|
||||
A routed batch selects one slot explicitly. A Gemini slot must name the Google
|
||||
account, its real Chrome profile, and its nonnegative `/u/N/` account index; an
|
||||
API slot must name its account or project and cannot name a browser profile. The
|
||||
account, its real Chrome profile, and its nonnegative `/u/N/` account index. An
|
||||
API slot must name its account or project and cannot name a browser profile. A
|
||||
Playwright slot for `openai-web`, `microsoft-web`, `meta-web`, or `synthid-web`
|
||||
does not name an account or a browser profile. The
|
||||
tool records the network route that the operator has already established.
|
||||
Non-Google Web slots may name `proxy_url_env`; Playwright reads the secret proxy
|
||||
URL from that environment variable without writing or logging it. The tool does
|
||||
not merge sessions or automatically change network routes. Account continuation
|
||||
is orchestrated by the skill, not by an individual adapter call. A request to
|
||||
verify a bounded set of files with a provider covers its configured account slots
|
||||
unless the operator restricts the account scope. Identify the finite set of
|
||||
available authenticated slots before starting and prepare one immutable batch
|
||||
per slot. Record quota refusals as `refused` and service failures according to
|
||||
their actual response, leave remaining rows in that slot unsubmitted, and
|
||||
continue automatically with the next authorized slot. Do not request permission
|
||||
again for files or accounts already covered by the task.
|
||||
Those four pages may name `proxy_url_env`; Playwright reads the
|
||||
secret proxy URL from that environment variable without writing or logging it.
|
||||
The country and session are not part of that preparation. Each run replaces
|
||||
them with a new session in a country in Europe or the United States.
|
||||
A signed-in account is required only for `gemini-web`. API calls stay on the
|
||||
direct SDK transport and do not take `proxy_url_env`. Every other Web surface
|
||||
uses isolated Playwright and may use a proxy. The tool does
|
||||
not merge sessions inside one adapter call. Account continuation is orchestrated
|
||||
by the skill, not by an individual adapter call. A request to verify files with
|
||||
a provider covers its configured account slots, surfaces, and network routes.
|
||||
Anyone doing the task may run those checks. Identify the finite set of
|
||||
configured slots before starting and prepare one immutable batch per slot.
|
||||
Record quota refusals as `refused` and service failures according to their
|
||||
actual response, leave remaining rows in that slot unsubmitted, and continue
|
||||
with the next slot, surface, or configured route. Do not ask for confirmation
|
||||
before that switch.
|
||||
|
||||
Submit each frozen artifact at most once per slot in that pass. Keep every
|
||||
Submit each frozen artifact at most once per slot in one pass. Keep every
|
||||
verbatim refusal, inconclusive reply, and disagreement between accounts. Stop
|
||||
when the planned checks finish or no authorized usable slot remains, and report
|
||||
unsubmitted rows. A new login, another provider, a new network route, or a new
|
||||
pass after the bounded plan is exhausted needs authorization unless already
|
||||
requested. Candidate pixels remain frozen throughout account continuation.
|
||||
when the plan is complete or no configured usable slot, surface, or route
|
||||
remains, and report anything still open. Do not start a new login. Each
|
||||
submitted artifact stays frozen inside its own batch. Do not change candidate
|
||||
pixels during the continuation.
|
||||
|
||||
Each `openai-api` slot must name exactly one `api_key_env`. Put the corresponding
|
||||
values in the gitignored local `.env`, never in the slot JSON:
|
||||
@@ -290,29 +312,27 @@ values in the gitignored local `.env`, never in the slot JSON:
|
||||
OPENAI_API_KEY_1=replace-with-first-key
|
||||
OPENAI_API_KEY_2=replace-with-second-key
|
||||
OPENAI_API_KEY_3=replace-with-third-key
|
||||
THORDATA_ROUTE_US=http://td-customer-USERNAME-country-US:PASSWORD@HOST.pr.thordata.net:9999
|
||||
THORDATA_ROUTE_DE=http://td-customer-USERNAME-country-DE:PASSWORD@HOST.pr.thordata.net:9999
|
||||
THORDATA_ROUTE_GB=http://td-customer-USERNAME-country-GB:PASSWORD@HOST.pr.thordata.net:9999
|
||||
THORDATA_ROUTE_NL=http://td-customer-USERNAME-country-NL:PASSWORD@HOST.pr.thordata.net:9999
|
||||
THORDATA_ROUTE_JP=http://td-customer-USERNAME-country-JP:PASSWORD@HOST.pr.thordata.net:9999
|
||||
THORDATA_PROXY=http://td-customer-USERNAME:PASSWORD@HOST.pr.thordata.net:9999
|
||||
```
|
||||
|
||||
The tool reads only the variable selected by the requested slot. A nonempty
|
||||
process environment value overrides the matching `.env` entry. It never prints
|
||||
the value or falls through to another token after authentication, entitlement,
|
||||
quota, or transport failure. The no-slot compatibility path reads
|
||||
the value. One call reads only its selected slot. After authentication,
|
||||
entitlement, quota, or transport failure, continue with the next configured
|
||||
slot in a new call. The no-slot compatibility path reads
|
||||
`OPENAI_API_KEY`.
|
||||
|
||||
Several Google accounts may share one real Chrome profile: give them distinct
|
||||
slot names and `google_account_index` values while keeping `browser_profile` the
|
||||
same.
|
||||
|
||||
The ThorData examples use its [residential proxy country parameter](https://doc.thordata.com/doc/proxies/residential-proxies/location-settings/country-region).
|
||||
The proxy username encodes one explicit two-letter ISO country code. Route
|
||||
selection remains explicit and never changes after a refusal. OpenAI,
|
||||
Microsoft, and Meta Web slots may reuse any route variable; the surface remains
|
||||
part of each distinct slot. OpenAI API slots never accept `proxy_url_env` and
|
||||
use the current direct network.
|
||||
ThorData encodes the exit in the username with its [country parameter](https://doc.thordata.com/doc/proxies/residential-proxies/location-settings/country-region)
|
||||
and a [session id](https://doc.thordata.com/doc/proxies/residential-proxies/session-control).
|
||||
A stored `country-XX` or `sessid` is not the exit this run will use. The runner
|
||||
discards both and appends one new session and one country from Europe or the
|
||||
United States. That pair stays for the browser context of the run. The next run
|
||||
chooses again, including after a refusal. Gemini and API slots never accept
|
||||
`proxy_url_env`. Anonymous Playwright slots may.
|
||||
|
||||
Validate and inspect the slots:
|
||||
|
||||
@@ -385,21 +405,28 @@ uv sync --extra dev
|
||||
uv run playwright install chromium
|
||||
```
|
||||
|
||||
Google is intentionally excluded from the standalone runner because its oracle
|
||||
requires the user's existing authenticated Chrome session. Invoke the project
|
||||
`provider-oracles` skill to prepare the batch, select the named real Chrome
|
||||
profile and `/u/N/` Google account, upload each prepared artifact, capture the
|
||||
settled SynthID tool outcome, and record it.
|
||||
Gemini is the only surface excluded from the standalone runner, because it is
|
||||
the only one that requires a signed-in account. Invoke the project
|
||||
`provider-oracles` skill to drive that existing Chrome profile at the named
|
||||
`/u/N/` account. `synthid-web` is an anonymous page: `run-web` opens
|
||||
`https://synthid.com/` in isolated Playwright, attaches one prepared upload
|
||||
through the page's file input, and reads the explicit `Watermark detected`,
|
||||
`Watermark not detected`, or `SynthID was not detected` label. The portal has
|
||||
no `/u/N/` index. If the page says `Please sign in before detection.` and
|
||||
returns no watermark label, keep that row and continue the same prepared upload
|
||||
in the user's existing real Chrome. That session is direct: no proxy, no new
|
||||
login, and no cookie copy into the isolated browser. If that Chrome also asks
|
||||
for sign-in, leave its row unsubmitted.
|
||||
|
||||
Ask the direct question stored in the batch manifest: `Does this
|
||||
For Gemini, ask the direct question stored in the batch manifest: `Does this
|
||||
image/video/audio contain a SynthID watermark? Use the SynthID verification
|
||||
tool only; do not infer from visible content, logos, text, or metadata.` A
|
||||
general question about whether Google AI created or edited the media is not
|
||||
equivalent: it may elicit origin or visual-content reasoning without a SynthID
|
||||
verdict.
|
||||
verdict. SynthID Detector has no prompt; its settled labels are the verdict.
|
||||
|
||||
OpenAI Web, Microsoft Web, and Meta run entirely through a fresh isolated
|
||||
Playwright browser. A direct-route example:
|
||||
OpenAI Web, Microsoft Web, Meta, and SynthID Detector run through a fresh
|
||||
isolated Playwright browser. A direct-route example:
|
||||
|
||||
```bash
|
||||
uv run python scripts/provider_oracles.py prepare meta-web input.png \
|
||||
@@ -410,8 +437,9 @@ uv run python scripts/provider_oracles.py run-web \
|
||||
/tmp/meta-check-001/manifest.json --acknowledge-uploads
|
||||
```
|
||||
|
||||
For a ThorData-routed OpenAI, Microsoft, or Meta Web slot, keep the generated
|
||||
proxy URLs in the gitignored `.env`, then select one route explicitly:
|
||||
For an OpenAI, Microsoft, Meta, or SynthID Detector slot that names a ThorData
|
||||
credential, keep that URL in the gitignored `.env`. The run chooses the country
|
||||
and the session:
|
||||
|
||||
```bash
|
||||
uv run python scripts/provider_oracles.py run-web \
|
||||
@@ -428,12 +456,10 @@ ThorData [user-and-password endpoints without a `sessid` rotate the exit on each
|
||||
request](https://doc.thordata.com/doc/proxies/residential-proxies/session-control).
|
||||
That is unsuitable inside one browser context: page resources can
|
||||
arrive through different exits and trigger the provider's bot checks. For a
|
||||
ThorData hostname, the runner derives a non-secret sticky session id from the
|
||||
immutable manifest hash and appends a 90-minute session window when the
|
||||
configured username has no explicit session. The same batch therefore keeps
|
||||
one route while the provider retains it, a new prepared batch gets a distinct
|
||||
route, and an operator-supplied `sessid` remains unchanged. This pins a selected
|
||||
route; it does not retry or fail over after a refusal.
|
||||
ThorData hostname, each run therefore discards a prepared country and session,
|
||||
then keeps one new session and one country in Europe or the United States for
|
||||
that browser context. The next invocation, including a retry after a refusal,
|
||||
chooses again.
|
||||
For a selected proxy route it enables certificate handling in that isolated
|
||||
Chromium launch and context; direct launches keep Playwright's normal TLS
|
||||
verification. A 2026-09-07 preflight sent one read-only request through each
|
||||
@@ -450,7 +476,7 @@ quota refusal is `refused`, a transport failure is `unreachable`, and unknown or
|
||||
changed page wording is `indeterminate`.
|
||||
|
||||
Each provider mounts its file input before the upload handler is necessarily
|
||||
ready. Microsoft and Meta reach a usable handler at network idle. OpenAI keeps
|
||||
ready. Microsoft, Meta, and SynthID Detector reach a usable handler at network idle. OpenAI keeps
|
||||
background requests alive and never reaches network idle, so its observable
|
||||
readiness seam is the page `load` state instead. The adapter waits for the
|
||||
surface-specific state before assigning the file. OpenAI's static FAQ contains
|
||||
|
||||
+8
-4
@@ -79,7 +79,8 @@ For a path input, `remove_visible` and `remove_visible_detailed`:
|
||||
- reads metadata provenance for the default `auto` sensitivity;
|
||||
- preserves a separate alpha channel;
|
||||
- writes the output when an output path is supplied;
|
||||
- strips AI metadata from the written output by default;
|
||||
- strips AI metadata from the written output by default, and raises
|
||||
`MetadataStripIncomplete` without publishing it when a marker survives;
|
||||
- preserves the original bytes for a same-format no-op copy.
|
||||
|
||||
```python
|
||||
@@ -226,8 +227,9 @@ The complete field set, with the shipped defaults:
|
||||
and not to this table, because this seam had already drifted by eight fields
|
||||
before anything checked it.
|
||||
|
||||
If AI metadata survives the strip, `remove_all` raises `MetadataStripIncomplete`
|
||||
**before** writing anything: an AI-readable output is worse than no output.
|
||||
If AI metadata survives the strip, `remove_all` and a path-input `remove_visible`
|
||||
raise `MetadataStripIncomplete` **before** publishing anything: an AI-readable
|
||||
output is worse than no output.
|
||||
|
||||
`remove_batch` runs one mode over a directory and never lets a single bad file
|
||||
end the run:
|
||||
@@ -525,7 +527,9 @@ It checks the written output and returns `(output_path, surviving_markers)`.
|
||||
When the first strip leaves markers in a malformed but raster-decodable image,
|
||||
it normalizes the container through `image_io` and checks again. That recovery
|
||||
path preserves the pixels but drops standard metadata. Treat a nonempty
|
||||
`surviving_markers` mapping as a failure.
|
||||
`surviving_markers` mapping as a failure. A source that is not a readable image,
|
||||
video or audio container raises `ValueError` before anything is written;
|
||||
`metadata.unreadable_reason(path)` returns the same reason without stripping.
|
||||
|
||||
`remove_ai_metadata` is the lower level fail-safe transformer. It may copy an
|
||||
undecodable input through unchanged, so its return alone must not be presented
|
||||
|
||||
@@ -24,9 +24,10 @@ The package version appears in:
|
||||
|
||||
- `pyproject.toml`;
|
||||
- `src/remove_ai_watermarks/__init__.py`;
|
||||
- both `version` fields in `server.json`;
|
||||
- the root package entry generated in `uv.lock`.
|
||||
|
||||
Update the first two, then refresh the lock file with uv. Do not edit a
|
||||
Update the first three, then refresh the lock file with uv. Do not edit a
|
||||
line-number-specific location in `uv.lock`; its package order changes.
|
||||
|
||||
Before choosing a version, verify it is absent from git tags, GitHub Releases,
|
||||
@@ -159,7 +160,10 @@ The Agent Skill and Claude plugin live in this repository:
|
||||
is the Claude plugin manifest, with source `./skills` so an install copies
|
||||
only the skill tree;
|
||||
- [`.claude-plugin/marketplace.json`](../.claude-plugin/marketplace.json)
|
||||
makes the repository a Claude Code marketplace.
|
||||
makes the repository a Claude Code marketplace;
|
||||
- [`.codex-plugin/plugin.json`](../.codex-plugin/plugin.json) is the Codex
|
||||
plugin manifest, pointing at the same `./skills/` tree, with its icon in
|
||||
[`assets/icon.svg`](../assets/icon.svg).
|
||||
|
||||
They are not a fifth required release surface. A CLI change that affects
|
||||
command routing, extras, exit codes, mark keys, or the intended-use boundary
|
||||
@@ -215,6 +219,25 @@ the catalog has not accepted the initial submission. The catalog-specific
|
||||
submission state and links live in
|
||||
[`docs/agent-skill.md`](agent-skill.md#where-the-skill-can-actually-be-listed).
|
||||
|
||||
## MCP registry
|
||||
|
||||
[`server.json`](../server.json) lists the PyPI package in the
|
||||
[official MCP registry](https://registry.modelcontextprotocol.io/) as
|
||||
`io.github.wiltodelta/remove-ai-watermarks`, started as
|
||||
`uvx remove-ai-watermarks mcp`. The registry accepts it only after PyPI serves a
|
||||
release whose description, the README, carries the `mcp-name:` marker, and
|
||||
`tests/test_mcp_server.py` pins `server.json` to the package version. The listing
|
||||
is not a release surface that blocks a release.
|
||||
|
||||
[`publish-mcp-registry.yml`](../.github/workflows/publish-mcp-registry.yml)
|
||||
publishes it on every published GitHub Release, once PyPI serves that version.
|
||||
GitHub OIDC proves ownership of the `io.github.wiltodelta` namespace, so no login
|
||||
or secret is stored. To list a version already on PyPI, dispatch the workflow
|
||||
with that version; a version the registry already lists is skipped.
|
||||
|
||||
[`glama.json`](../glama.json) names the maintainer for Glama's claim flow.
|
||||
Client setup and the tool contract are in [the MCP server guide](mcp-server.md).
|
||||
|
||||
## Release verification
|
||||
|
||||
Forensic transports are versioned independently from the package. Before publishing
|
||||
|
||||
@@ -151,7 +151,7 @@ discarding the measured results.
|
||||
now exists, but its 2026-08-08 README is still a release placeholder: the
|
||||
authors say they will publish code after their SynthID testing and Google
|
||||
Security Bounty submission. There is no implementation to evaluate as of
|
||||
2026-10-01 (arXiv:2601.08832).
|
||||
2026-10-17, when the repository still held only that README (arXiv:2601.08832).
|
||||
MiniMax-Remover (CC-BY-NC-4.0 weights) and ProPainter (S-Lab License,
|
||||
non-commercial) are deliberately excluded on license and are not backlog
|
||||
items.
|
||||
|
||||
@@ -95,6 +95,8 @@ The inspection and stripping code handles signals in these groups:
|
||||
- exact app-export provenance and AIGC disclosures from supported
|
||||
ByteDance-family products, with product-only provenance excluded from the
|
||||
generated-image verdict;
|
||||
- Kling's H.264 `user_data_unregistered` SEI tag (`kling-ai`) in MP4/MOV
|
||||
video, blanked in place by `video metadata --remove` without re-encoding;
|
||||
- IPTC AI disclosure fields;
|
||||
- PNG text chunks and embedded generation parameters, including keyed
|
||||
`workflow` and `prompt` tags in MP4/MOV metadata lists;
|
||||
@@ -300,7 +302,7 @@ not a universal clean verdict.
|
||||
| Luma AI | None registered | No registered pixel decoder | PNG text generator tags (Uni-1) |
|
||||
| ByteDance generators | Doubao and Jimeng marks | No registered pixel decoder | TC260 AIGC, supported C2PA, and exact app-export AIGC disclosures |
|
||||
| Qwen | Qwen mark | No registered pixel decoder | TC260 AIGC |
|
||||
| Kling AI | Kling AI image and video marks | No registered pixel decoder | TC260 AIGC |
|
||||
| Kling AI | Kling AI image and video marks | No registered pixel decoder | TC260 AIGC and the video SEI tag |
|
||||
| Vidu (ShengShu) | Vidu video mark | No registered pixel decoder | TC260 AIGC in the MP4 `AIGC` key |
|
||||
| Runway | None measured on paid-plan output | No registered pixel decoder | C2PA signed `RUNWAY AI, INC.` on its own models; third-party models keep their vendor's manifest |
|
||||
| Amazon Bedrock (Nova Canvas, Nova Reel) | None | Invisible watermark readable only through the Bedrock API | C2PA signed `Amazon Web Services, Inc.`, claim generator `Amazon Bedrock` |
|
||||
|
||||
@@ -200,7 +200,7 @@ route in this campaign. Mechanism detail stays in
|
||||
| --- | --- | --- |
|
||||
| Gowal et al., [arXiv:2510.09263](https://arxiv.org/abs/2510.09263) | Post-hoc encoder `f` / decoder `g`. Detection logit is not payload recovery. SynthID-O (partner variant) 136 bits at 512x512. TPR at 0.1% FPR 99.98% aggregated, 99.97% on the hardest spatial crop+resize. Trains against sampled semantics-preserving transforms, including weak VAE regeneration. Production decoder unpublished | Matches the architecture we treat as keyed `x' = x + g(x)`. Explains why a two-pixel crop kills `pipeline_lattice` but not the official oracle, and why a 22.3 dB foreign VAE still reads `detected` |
|
||||
| DeepMind [US12094474B1](https://patents.google.com/patent/US12094474B1/en) and continuation [US20250149048A1](https://patents.google.com/patent/US20250149048A1/en) | Residual U-Net encoder, separate decoder, optional key, encoder/decoder ensembles that need not recognize each other | Constraint, not a recipe. Ensemble non-recognition is why one recovered Google tile cannot be reused as an OpenAI detector (S4) |
|
||||
| Dathathri et al., [Nature 634:818-823 (2024)](https://www.nature.com/articles/s41586-024-08025-4) | SynthID-Text: tournament sampling of LLM tokens, open-source | Different system. Image/audio/video remain proprietary |
|
||||
| Dathathri et al., [Nature 634:818-823 (2024)](https://www.nature.com/articles/s41586-024-08025-4) | SynthID-Text: tournament sampling of LLM tokens, open-source. Anthropic's [Claude text watermark](https://www.anthropic.com/news/claude-text-watermark) (announced 2026-08-14 for future Claude models, updated 2026-09-01) "is a version of the SynthID-Text approach", with its detection API in private preview | Different system. Image/audio/video remain proprietary |
|
||||
| OpenAI, [advancing content provenance](https://openai.com/index/advancing-content-provenance/) (2026-05-19, audio 2026-07-31) and [content provenance API](https://developers.openai.com/api/docs/guides/content-provenance) | ChatGPT / API / Codex images carry C2PA plus SynthID. Audio from 2026-07-31. `POST /v1/content_provenance_checks`. `not_detected` does not rule out another vendor | This is the oracle. C2PA and SynthID are independent entries. Do not abuse the endpoint as an adaptive reverse-engineering loop |
|
||||
|
||||
### Keyless presence detectors in the literature
|
||||
|
||||
@@ -229,12 +229,20 @@ regeneration is already in [synthid.md](synthid.md#23-removal-attacks-and-forens
|
||||
| Goonatilake and Ateniese, [arXiv:2605.09203](https://arxiv.org/abs/2605.09203) | Six removers all leave a forensic residue a ResNet-50 sees at >98% TPR @ 1% FPR | Applies to UnMarker, Zhao's WatermarkAttacker, CtrlRegen+ | Defeating a provider oracle is not deniability. This is the product remainder |
|
||||
| An et al., [arXiv:2401.08573](https://arxiv.org/abs/2401.08573) (WAVES, ICML 2024) | 26 attacks on StegaStamp, Stable Signature, Tree-Ring. Regeneration, not JPEG, is the attack that matters. StegaStamp TPR@1%FPR 1.00 to 0.01; Tree-Ring 0.99 to 0.12 | Open watermarks | Protocol. Our blur-sigma-7 and 16-32 scramble are closer to WAVES "distortion" than to regeneration |
|
||||
| Bulychev et al., [arXiv:2605.16796](https://arxiv.org/abs/2605.16796) (Watermarks Attack Watermarks) | Apply a second watermark, usually with the victim's own post-processing encoder and a different message. On MS-COCO, its end-to-end pipeline lowers Video Seal victim bit accuracy from 0.998 to 0.520 (TPR@1%FPR 0.046) and Pixel Seal from 0.999 to 0.514 (TPR 0.029); the same-method attacker message recovers at 0.99 bit accuracy for both schemes. Quality is reported as an eight-metric normalized composite, not a raw PSNR operating point | Eight open image schemes, not production SynthID; Video Seal is tested on images | Directly motivated the [local open-encoder replication](#re-watermarking-on-open-encoders-2026-09-27). Its MIT [code](https://github.com/MariaBulychev/Watermarks-Attack-Watermarks/tree/0444f52ad972da9e009555f2dc1028d9abe0610e) calls external encoder packages and weights; the top-level license does not license those dependencies |
|
||||
| Yang et al., [arXiv:2609.01249](https://arxiv.org/abs/2609.01249) (One Prompt Is Enough) | One reconstruction prompt to a closed image editor (GPT Image 1, 1.5 and 2; Nano Banana, Pro and 2) launders the payload over 1,800 outputs; OpenAI models disrupt it most | DwtDct, DwtDctSvd and RivaGAN only. "SynthID was not tested" | Regeneration through a provider's own model. It breaks the scheme our DWT-DCT detector reads, and says nothing about production SynthID, which the same editors add to their output |
|
||||
| Yao et al., [arXiv:2610.11290](https://arxiv.org/abs/2610.11290) (ProxyEraseAgent) | Ranks a pool of open decoders by calibrated response and attacks the strongest as proxy boundary estimators; 94.8% success over 11 systems against 79.5% for the best fixed Regen-VAE | Open schemes, TrustMark and VideoSeal among them. Not SynthID | Needs a decoder that responds to the mark. No public decoder responds to production SynthID, so it does not transfer to an oracle-only target |
|
||||
| Bao et al., [arXiv:2609.08213](https://arxiv.org/abs/2609.08213) (DRIFT) | Deflects the diffusion trajectory. The adaptive variant searches a strength ladder per image for "the first verifier-rejected rung" from binary verifier feedback; 98-100% success on nine marks | In-generation diffusion marks (Tree-Ring family, Gaussian Shading and others). Not SynthID | The ladder stop is our [attack ladders](#attack-ladders-openai-oracle) run per image. Against a provider verifier that is the adaptive query loop its terms forbid, so it applies to local oracles only |
|
||||
| Ye et al., [arXiv:2610.03166](https://arxiv.org/abs/2610.03166) (LiBRA) | White-box latent optimization with the key and decoder, steering decoding confidence toward chance from both sides so the mark is not left inverted but detectable; Stable Signature detection 1.00 to 0.03 | Released checkpoints of Stable Signature, the YU1 GAN fingerprint, HiDDeN and MBRS | Needs the decoder, so it is out of reach here. The inverted-mark point applies to any bit-flip attack |
|
||||
| Aistov et al., [arXiv:2610.02010](https://arxiv.org/abs/2610.02010) (Latent Frequency Masking, ICDM 2026) | Replaces selected Fourier coefficients of the latent; [code](https://github.com/alvitrioliks/lfm) | Stable Signature, Tree-Ring, RingID, Gaussian Shading (resists), Maxsive, METR. Not SynthID | In-generation latent marks. Not the post-hoc encoder family Gowal describes |
|
||||
| Li et al., [arXiv:2609.31693](https://arxiv.org/abs/2609.31693) (Disentangle and Drop) | Splits the image into a grayscale carrier and a residual branch, then suppresses the residual, with one shared operating setting | SSL, DwtDct, DwtDctSvd, RivaGAN, StegaStamp, Stable Signature, Tree-Ring | Open schemes only |
|
||||
| Yang et al., [arXiv:2609.31722](https://arxiv.org/abs/2609.31722) (Push-Pull) | Key-free and decoder-free at deployment; average BER 0.3958 at 31.07 dB PSNR on a four-method sweep | Seven open methods. Not SynthID | A BER near 0.40 leaves much of the payload intact, as with SPFM-Net below |
|
||||
| Ding et al., [arXiv:2609.34003](https://arxiv.org/abs/2609.34003) (DeMark, audio) | Query-free black box that suppresses the time-frequency artifacts the embedding leaves; average attack success 0.92 and 0.96 on two speech sets | AudioSeal, WavMark, Timbre, AudioMarkNet. Not audio SynthID | A candidate cohort for the pinned AudioSeal oracle in the [benchmark kernel](benchmark-kernel.md). No code located |
|
||||
| Wen et al., [arXiv:2305.20030](https://arxiv.org/abs/2305.20030) (Tree-Ring) | In-generation Fourier pattern in initial noise | Not SynthID | Kill is DDIM inversion plus latent wipe, not a pixel scramble. Lin and Juarez [arXiv:2506.10502](https://arxiv.org/abs/2506.10502) (USENIX 2025) remove it from public knowledge |
|
||||
| Fernandez et al., Stable Signature, ICCV 2023 | Fine-tuned VAE decoder | Not SynthID | Regeneration that replaces the decoder is in-family. Our foreign VAE at 22.3 dB did not kill OpenAI SynthID, which is the expected mismatch |
|
||||
| Google to [The Verge, 2026-04-14](https://www.theverge.com/ai-artificial-intelligence/911579/google-synthid-ai-watermarking-system-reverse-engineered) | reverse-SynthID does not systematically remove SynthID | Google spokesperson on the spectral bypass | Agrees with our V4 audit and with Bypass: reconstruction or decoder confusion, not a payload delete |
|
||||
|
||||
Quiet pixel-only removal is not a published result on production
|
||||
OpenAI or Google SynthID (still true in the 2026-09-27 literature sweep).
|
||||
OpenAI or Google SynthID (still true in the 2026-10-17 literature sweep).
|
||||
Against open encoders the fidelity band has moved: WmForger
|
||||
([arXiv:2510.20468](https://arxiv.org/abs/2510.20468)) and Hide&Seek
|
||||
([arXiv:2603.01067](https://arxiv.org/abs/2603.01067)) report roughly 30 dB,
|
||||
|
||||
+7
-1
@@ -575,7 +575,13 @@ The SynthID decoder is proprietary and not released:
|
||||
> -- Gowal et al., arXiv:2510.09263
|
||||
|
||||
There are no released payload-decoder weights or public algorithm. Google
|
||||
provides verification in Gemini. The old limited SynthID Detector portal does
|
||||
provides verification in Gemini and, since the public SynthID Detector opened,
|
||||
at [synthid.com](https://synthid.com/). That site is the `synthid-web` oracle
|
||||
surface in [`provider-oracles.md`](provider-oracles.md). On 2026-10-17 its FAQ
|
||||
named Google DeepMind, Nvidia, OpenAI, and Kakao, and its settled labels were
|
||||
`Watermark detected` and `Watermark not detected`. On 2026-10-19 UTC the
|
||||
signed-in page also used the status line `SynthID was not detected`, which this
|
||||
tooling records as `not_detected`. The old limited portal does
|
||||
not work: on 2026-09-07, its official `labs.google/synthid` entry point
|
||||
redirected a signed-in browser to a Google 404. On 2026-09-23 the same entry
|
||||
point redirected to `deepmind.google.com/frontiers/synthid`, which also returned
|
||||
|
||||
@@ -92,8 +92,8 @@ the row count is host-dependent rather than the fixed 68 recorded here before. E
|
||||
(~500 images spanning format x provenance x aspect ratio), asserting exit-code semantics
|
||||
rather than just absence of crash.
|
||||
|
||||
Known trap to encode: **exit 2 is triply overloaded** (no-visible-mark, no-invisible-signal,
|
||||
Click usage error). A wrapper cannot distinguish them without parsing stderr. Either the
|
||||
Known trap to encode: **exit 2 is overloaded four ways** (no-visible-mark, no-invisible-signal,
|
||||
empty batch directory, Click usage error). A wrapper cannot distinguish them without parsing stderr. Either the
|
||||
sweep asserts on stderr, or the codes get split -- the latter is the better fix.
|
||||
|
||||
#### Coverage method
|
||||
@@ -262,8 +262,8 @@ and implemented by `scripts/provider_oracles.py`.
|
||||
|
||||
Proprietary watermark removal cannot be verified locally by design -- no public decoder
|
||||
exists. Each vendor has its own oracle and it covers only that vendor's content:
|
||||
the Content Provenance API first and `openai.com/verify` as an explicit fallback for
|
||||
OpenAI, the Gemini app for Google, and Microsoft's
|
||||
the Content Provenance API first and `openai.com/verify` for
|
||||
OpenAI, the Gemini app and the SynthID Detector at `synthid.com` for Google, and Microsoft's
|
||||
[Content Provenance Detection API](https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/how-to-provenance-detection)
|
||||
for InvisMark. The Microsoft API reports `Watermark` and `C2PA` separately. It therefore
|
||||
needs a pixel-identical metadata-stripped control: the control must lose `C2PA` while
|
||||
@@ -280,6 +280,12 @@ protocol is in [`synthid-detector-removal-plan.md`](synthid-detector-removal-pla
|
||||
Scope honestly: this tier certifies strength floors on a handful of images per vendor, and
|
||||
that is all it can do. See `docs/synthid.md`.
|
||||
|
||||
The project therefore publishes no aggregate pass rate per model or resolution: a large
|
||||
enough sample needs bulk automated checks, which the OpenAI restriction above and the
|
||||
SynthID Detector's [additional terms](https://synthid.com/terms) both forbid. Public
|
||||
removal claims rest on this method and on individual hash-bound rows such as
|
||||
`data/evaluations/video-synthid-oracle.csv`, never on an extrapolated rate.
|
||||
|
||||
### D1. Sampling frame
|
||||
|
||||
Select a representative local sample without committing images, identifiers, dataset sizes, or oracle results. Stratify by signal family and preserve the sampling method outside the public repository.
|
||||
|
||||
@@ -37,6 +37,12 @@ claim generator still falls back to the certificate issuer.
|
||||
Exact claim-generator mappings also cover `Grok Imagine` as xAI Grok Imagine
|
||||
and `Suno` as Suno. Both can carry a valid AI source claim without a separately
|
||||
readable issuer, so issuer-only attribution leaves the platform blank.
|
||||
Suno also [announced on 2026-08-06](https://suno.com/blog/building-the-future-of-music-responsibly)
|
||||
that it would adopt "new audio watermarking and fingerprinting technology" in
|
||||
the coming weeks. It did not name the technology
|
||||
([TechCrunch](https://techcrunch.com/2026/08/06/amid-legal-battles-suno-says-it-will-start-watermarking-songs/)
|
||||
asked whether it would be SynthID and got no answer), so there is no local
|
||||
detector, and metadata stripping leaves any such mark in the audio.
|
||||
|
||||
Some signers expose the product in `signature_info` while retaining a generic
|
||||
claim generator. xAI Grok Imagine is recognized from that signed identity even
|
||||
@@ -128,6 +134,14 @@ against primary sources before adding jurisdiction-specific claims.
|
||||
|
||||
**Google Gemini visible "sparkle" -- tier-dependent, and spec-undocumented by Google.** Google primary sources (the Nano Banana Pro blog and the gemini.google image-generation page, both WebFetch-verified) confirm Gemini images carry BOTH the invisible SynthID (on ALL Google-AI media) AND a visible sparkle, but the visible mark is **tier-gated**: applied for FREE and Google AI **Pro** users, and **REMOVED** for Google AI **Ultra** subscribers, inside **Google AI Studio**, and on **API / dev** output. Update 2026-09-23: since 2026-08-14 a Gemini "Media watermark" setting lets any consumer tier switch the visible mark off for images, Omni video and Lyria music, except work accounts and India, South Korea and Vietnam without Ultra (Gemini help 17405358; the setting was observed in the Gemini web app on 2026-09-23). The tier-gating above is therefore no longer the only reason a sparkle is missing. So a Google-C2PA image with NO visible sparkle is expected (setting off, Ultra, API), not evidence it is clean -- this reinforces the `identify` "no visible mark != clean" rule. The ONLY official verifier is the SynthID flow: upload to the Gemini app and ask directly whether the file contains a SynthID watermark, requiring the SynthID verification tool and prohibiting inference from visible content, logos, text, or metadata. A generic question about AI generation is not an oracle result. The tool reads the INVISIBLE mark; there is **no official visible-sparkle detector**, and Google publishes **no** glyph geometry / size / opacity / color / locale / placement spec. So our capture-based sparkle template is the only source of truth and cannot be validated against a vendor spec -- keep reverse-engineering from real captures (do not expect a published spec).
|
||||
|
||||
**Gemini Notebook, formerly NotebookLM, adds its own visible watermark.** Google's
|
||||
[plan help](https://support.google.com/gemininotebook/answer/16213268) says the mark
|
||||
is added to generated images and videos "to further help you identify AI-generated
|
||||
content", and AI Pro and Ultra subscribers can turn it off. That makes it an
|
||||
AI-generation label under the [project scope](legal-and-safety.md#out-of-scope). No
|
||||
template is planned (decided 2026-10-18), so the mark stays undetected; slide
|
||||
decks export as PDF or PPTX, which the project does not process.
|
||||
|
||||
**Google Veo video marks use two incompatible visible designs.** Public raw
|
||||
clips verify the current four-point diamond and the legacy bottom-right `Veo`
|
||||
text. The independent
|
||||
|
||||
@@ -0,0 +1,4 @@
|
||||
{
|
||||
"$schema": "https://glama.ai/mcp/schemas/server.json",
|
||||
"maintainers": ["wiltodelta"]
|
||||
}
|
||||
+4
-1
@@ -4,7 +4,7 @@
|
||||
# on it, including the ComfyUI node package. The console script below carries
|
||||
# the same weight, since users have it on PATH.
|
||||
name = "remove-ai-watermarks"
|
||||
version = "0.45.1"
|
||||
version = "0.46.0"
|
||||
description = "AI watermark remover for visible, invisible, and provenance marks in images and video"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.11,<3.15"
|
||||
@@ -205,6 +205,9 @@ dev = [
|
||||
"httpx>=0.28,<1",
|
||||
# Development-only isolated browser automation for public provider oracles.
|
||||
"playwright>=1.62,<2",
|
||||
# The official MCP client, used only to test `remove-ai-watermarks mcp`
|
||||
# against the reference implementation. The server itself is stdlib-only.
|
||||
"mcp>=2.3,<3",
|
||||
"pytest>=8.0.0",
|
||||
"pytest-cov>=4.1.0",
|
||||
"pytest-xdist>=3.5.0",
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import datetime
|
||||
from datetime import date
|
||||
from typing import TYPE_CHECKING
|
||||
|
||||
if TYPE_CHECKING:
|
||||
@@ -10,15 +10,15 @@ if TYPE_CHECKING:
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
def corpus_day(path: Path, corpus: Path) -> datetime.date | None:
|
||||
def corpus_day(path: Path, corpus: Path) -> date | None:
|
||||
"""Read the leading YYYY-MM-DD corpus segment, if present."""
|
||||
try:
|
||||
return datetime.date.fromisoformat(path.relative_to(corpus).parts[0])
|
||||
return date.fromisoformat(path.relative_to(corpus).parts[0])
|
||||
except (ValueError, IndexError):
|
||||
return None
|
||||
|
||||
|
||||
def corpus_files(corpus: Path, since: datetime.date | None, *, suffixes: Collection[str] | None = None) -> list[Path]:
|
||||
def corpus_files(corpus: Path, since: date | None, *, suffixes: Collection[str] | None = None) -> list[Path]:
|
||||
"""Return a deterministic recursive walk, optionally date- and suffix-bounded."""
|
||||
if since is None:
|
||||
candidates = corpus.rglob("*")
|
||||
|
||||
@@ -22,7 +22,7 @@ from the provider's canonical name, the provider is named separately.
|
||||
| --- | --- | --- | --- |
|
||||
| `samsung_en_alpha.png` | Samsung Galaxy AI label, English locale ("AI-generated content", bottom-left) | 5 corpus files | POS 0.11-0.30 vs NEG max 0.40 (binary); tophat/gray tried, no separation. The registered Italian engine scores 0.18-0.31 on the same files -- same layout class, wrong glyph template. |
|
||||
| `gemini_text_alpha.png` | "Generated with Gemini" text label (bottom-right; the registered gemini mark is the sparkle icon) | 3 corpus files | POS 0.07-0.22 vs NEG max 0.32; coverage gate finds the blob (0.29-0.35) but the Arial silhouette misses Google's letterforms. |
|
||||
| `notebooklm_alpha.png` | NotebookLM wordmark (bottom-right) | 12 corpus files | locate geometry not yet fitted; POS max 0.12. |
|
||||
| `notebooklm_alpha.png` | NotebookLM wordmark (bottom-right; the product is now Gemini Notebook) | 12 corpus files | parked: a template is not planned (decided 2026-10-18). Last measured POS max 0.12, locate geometry never fitted. |
|
||||
| `mindvideo_alpha.png` | MindVideo.AI (top-right) | 11 corpus files | POS 0.29-0.32 vs NEG max 0.30 -- borderline overlap, not shippable. |
|
||||
| `higgsfield_alpha.png` | `HIGGSFIELD AI` wordmark (Higgsfield AI, bottom-right; the boxed `AI` variant shares the cohort) | 5 wordmark files (16 in the boxed-AI OCR cluster) | POS max 0.26 vs NEG max 0.22 -- no separation; the mark may be two-part (wordmark + boxed AI) and needs a composed template. |
|
||||
| `jianying_alpha.png` | `剪映AI` wordmark (Jianying / 剪映, the China product in the CapCut family; bottom-right) | 2 corpus files | POS 0.29 vs NEG max 0.35. |
|
||||
|
||||
@@ -121,7 +121,7 @@ def load_pinned_models() -> tuple[object, object]:
|
||||
raw = convert_state_dict_for_scriptable_model(raw)
|
||||
model = create(config, device="cpu") # type: ignore[call-arg]
|
||||
load_state_dict(model, state_dict=raw)
|
||||
model.eval()
|
||||
model.train(False)
|
||||
return model
|
||||
|
||||
generator = load(GENERATOR_CARD, "generator_base.pth", AudioSealWMConfig, create_generator)
|
||||
|
||||
@@ -51,7 +51,7 @@ def export_onnx(checkpoint: Path, output: Path) -> None:
|
||||
if output.exists():
|
||||
raise SystemExit(f"refusing to overwrite existing output: {output}")
|
||||
output.parent.mkdir(parents=True, exist_ok=True)
|
||||
model = VisionEmbedding(load_headed_clip(checkpoint, torch.device("cpu"))).eval()
|
||||
model = VisionEmbedding(load_headed_clip(checkpoint, torch.device("cpu"))).train(False)
|
||||
export_options: dict[str, Any] = {}
|
||||
if "dynamo" in inspect.signature(torch.onnx.export).parameters:
|
||||
export_options["dynamo"] = False
|
||||
|
||||
@@ -252,7 +252,7 @@ def _lpips_model() -> tuple[Any, Any]:
|
||||
import torch
|
||||
|
||||
model = lpips.LPIPS(net="alex", verbose=False)
|
||||
model.eval()
|
||||
model.train(False)
|
||||
return model, torch
|
||||
|
||||
|
||||
|
||||
@@ -173,7 +173,7 @@ def load_model() -> object:
|
||||
raise RuntimeError(
|
||||
f"PixelSeal checkpoint/source mismatch: missing={loaded.missing_keys}, unexpected={loaded.unexpected_keys}"
|
||||
)
|
||||
model.eval()
|
||||
model.train(False)
|
||||
return model
|
||||
|
||||
|
||||
|
||||
@@ -5,7 +5,9 @@ from __future__ import annotations
|
||||
|
||||
import logging
|
||||
import os
|
||||
import random
|
||||
import re
|
||||
import secrets
|
||||
from dataclasses import dataclass
|
||||
from datetime import UTC, datetime
|
||||
from time import monotonic
|
||||
@@ -22,7 +24,35 @@ if TYPE_CHECKING:
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
|
||||
PLAYWRIGHT_SURFACES = frozenset({"openai-web", "microsoft-web", "meta-web"})
|
||||
PLAYWRIGHT_SURFACES = frozenset({"openai-web", "microsoft-web", "meta-web", "synthid-web"})
|
||||
# A proxy exit is chosen when the run starts. These are the countries that
|
||||
# choice may use: the United States and European ISO codes.
|
||||
EUROPE_OR_US_COUNTRIES = (
|
||||
"AT",
|
||||
"BE",
|
||||
"CH",
|
||||
"CZ",
|
||||
"DE",
|
||||
"DK",
|
||||
"ES",
|
||||
"FI",
|
||||
"FR",
|
||||
"GB",
|
||||
"GR",
|
||||
"HU",
|
||||
"IE",
|
||||
"IT",
|
||||
"NL",
|
||||
"NO",
|
||||
"PL",
|
||||
"PT",
|
||||
"RO",
|
||||
"SE",
|
||||
"US",
|
||||
)
|
||||
_THORDATA_COUNTRY = re.compile(r"-country-[A-Za-z]{2}", re.IGNORECASE)
|
||||
_THORDATA_SESSION = re.compile(r"-sessid-[A-Za-z0-9]+", re.IGNORECASE)
|
||||
_THORDATA_SESSION_TIME = re.compile(r"-sesstime-\d+", re.IGNORECASE)
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
@@ -51,6 +81,11 @@ _RESULT_MARKERS = {
|
||||
"No AI signatures from Meta were found",
|
||||
"No AI signatures were found",
|
||||
),
|
||||
"synthid-web": (
|
||||
"Watermark detected",
|
||||
"Watermark not detected",
|
||||
"SynthID was not detected",
|
||||
),
|
||||
}
|
||||
|
||||
_REFUSAL_MARKERS = (
|
||||
@@ -63,7 +98,10 @@ _REFUSAL_MARKERS = (
|
||||
"access denied",
|
||||
)
|
||||
|
||||
_INDETERMINATE_MARKERS = ("Something went wrong. Please try again. If the issue persists, contact support.",)
|
||||
_INDETERMINATE_MARKERS = (
|
||||
"Something went wrong. Please try again. If the issue persists, contact support.",
|
||||
"Please sign in before detection.",
|
||||
)
|
||||
|
||||
|
||||
def _contains_any(text: str, markers: tuple[str, ...]) -> bool:
|
||||
@@ -111,6 +149,16 @@ def parse_provider_result(surface: str, page_text: str) -> WebVerdict:
|
||||
return WebVerdict("detected", provenance, response)
|
||||
if "inconclusive" in lowered or "no provenance detected" in lowered:
|
||||
return WebVerdict("not_detected", provenance, response)
|
||||
elif surface == "synthid-web":
|
||||
# The exact labels are the verdict. A page that shows both, or that
|
||||
# asks for a sign-in, has no single watermark result. The sign-in
|
||||
# sentence is kept; the skill then continues in the user's existing Chrome.
|
||||
detected = "Watermark detected" in response
|
||||
not_detected = "Watermark not detected" in response or "SynthID was not detected" in response
|
||||
if not_detected and not detected:
|
||||
return WebVerdict("not_detected", "unavailable", response)
|
||||
if detected and not not_detected:
|
||||
return WebVerdict("detected", "unavailable", response)
|
||||
else:
|
||||
if "no ai signatures from meta were found" in lowered or "no ai signatures were found" in lowered:
|
||||
return WebVerdict("not_detected", "unavailable", response)
|
||||
@@ -123,13 +171,37 @@ def parse_provider_result(surface: str, page_text: str) -> WebVerdict:
|
||||
return WebVerdict("indeterminate", provenance, response or "Provider page returned no readable result")
|
||||
|
||||
|
||||
def choose_proxy_country(rng: random.Random | None = None) -> str:
|
||||
"""Pick one exit country from Europe or the United States."""
|
||||
picker = random.SystemRandom() if rng is None else rng
|
||||
return picker.choice(EUROPE_OR_US_COUNTRIES)
|
||||
|
||||
|
||||
def new_proxy_session() -> str:
|
||||
"""Return a new ThorData session id. A later call does not reuse it."""
|
||||
return "s" + secrets.token_hex(8)
|
||||
|
||||
|
||||
def fresh_thordata_username(username: str, *, country: str, session_id: str) -> str:
|
||||
"""Drop a prepared country and session, then attach the ones for this run."""
|
||||
if country not in EUROPE_OR_US_COUNTRIES:
|
||||
raise ValueError("proxy country must be in Europe or the US")
|
||||
if re.fullmatch(r"[A-Za-z0-9]{1,32}", session_id) is None:
|
||||
raise ValueError("proxy session id must be 1-32 ASCII letters or digits")
|
||||
base = _THORDATA_SESSION_TIME.sub("", username)
|
||||
base = _THORDATA_SESSION.sub("", base)
|
||||
base = _THORDATA_COUNTRY.sub("", base).strip("-")
|
||||
return f"{base}-country-{country}-sessid-{session_id}-sesstime-90"
|
||||
|
||||
|
||||
def proxy_settings(
|
||||
slot: oracles.ExecutionSlot,
|
||||
environ: Mapping[str, str] = os.environ,
|
||||
*,
|
||||
sticky_session_id: str | None = None,
|
||||
country: str | None = None,
|
||||
session_id: str | None = None,
|
||||
) -> ProxySettings | None:
|
||||
"""Resolve a secret proxy URL and pin rotating ThorData routes per batch."""
|
||||
"""Resolve a secret proxy URL. A ThorData exit is chosen for this call."""
|
||||
variable = slot.get("proxy_url_env")
|
||||
if variable is None:
|
||||
return None
|
||||
@@ -147,10 +219,11 @@ def proxy_settings(
|
||||
if parsed.username is not None:
|
||||
username = unquote(parsed.username)
|
||||
is_thordata = parsed.hostname.endswith((".thordata.net", ".thordata.online"))
|
||||
if is_thordata and sticky_session_id is not None and "-sessid-" not in username.casefold():
|
||||
if re.fullmatch(r"[A-Za-z0-9]{1,32}", sticky_session_id) is None:
|
||||
raise ValueError("sticky_session_id must be 1-32 ASCII letters or digits")
|
||||
username = f"{username}-sessid-{sticky_session_id}-sesstime-90"
|
||||
if is_thordata:
|
||||
chosen_country = choose_proxy_country() if country is None else country
|
||||
chosen_session = new_proxy_session() if session_id is None else session_id
|
||||
username = fresh_thordata_username(username, country=chosen_country, session_id=chosen_session)
|
||||
log.info("ThorData proxy exit country=%s session=%s", chosen_country, chosen_session)
|
||||
settings["username"] = username
|
||||
if parsed.password is not None:
|
||||
settings["password"] = unquote(parsed.password)
|
||||
@@ -198,7 +271,7 @@ def _set_upload_file(page: Page, surface: str, upload: Path, timeout_seconds: fl
|
||||
# OpenAI keeps background requests alive, so network-idle is
|
||||
# unreachable. Its visible input becomes handler-ready at page load.
|
||||
page.wait_for_load_state("load", timeout=timeout_ms)
|
||||
elif surface in {"meta-web", "microsoft-web"}:
|
||||
elif surface in {"meta-web", "microsoft-web", "synthid-web"}:
|
||||
# These pages mount hidden inputs before their selection handlers are
|
||||
# active. Network-idle is the observable handler-readiness seam.
|
||||
page.wait_for_load_state("networkidle", timeout=timeout_ms)
|
||||
@@ -288,19 +361,15 @@ def run_web_batch(
|
||||
oracles.verify_batch(manifest_path)
|
||||
manifest, results = oracles.load_batch(manifest_path)
|
||||
surface = manifest["surface"]
|
||||
if surface == "gemini-web":
|
||||
raise ValueError("gemini-web requires the real Chrome workflow, not isolated Playwright")
|
||||
if oracles.SURFACES[surface].automation == "real_browser":
|
||||
raise ValueError(f"{surface} requires the real Chrome workflow, not isolated Playwright")
|
||||
if surface not in PLAYWRIGHT_SURFACES:
|
||||
raise ValueError(f"surface {surface} is not a Playwright Web oracle")
|
||||
slot = manifest["slot"]
|
||||
if slot is None:
|
||||
raise ValueError("Playwright batches require an explicit execution slot")
|
||||
secret_values = dict(environ) if env_file is None else oracles.secret_environment(env_file, environ=environ)
|
||||
proxy = proxy_settings(
|
||||
slot,
|
||||
secret_values,
|
||||
sticky_session_id=f"oracle{results['manifest_sha256'][:16]}",
|
||||
)
|
||||
proxy = proxy_settings(slot, secret_values)
|
||||
pending = [
|
||||
(manifest_row, result_row)
|
||||
for manifest_row, result_row in zip(manifest["rows"], results["rows"], strict=True)
|
||||
|
||||
+38
-11
@@ -169,6 +169,26 @@ SURFACES: dict[str, OracleSurface] = {
|
||||
account_slots=True,
|
||||
network_slots=True,
|
||||
),
|
||||
"synthid-web": OracleSurface(
|
||||
key="synthid-web",
|
||||
provider_key="google",
|
||||
provider="Google",
|
||||
signal_family="synthid",
|
||||
surface="SynthID Detector",
|
||||
automation="playwright",
|
||||
url="https://synthid.com/",
|
||||
media_types=("image", "video", "audio"),
|
||||
project_evidence=(),
|
||||
prompt=None,
|
||||
clean_result_note=(
|
||||
"Record detected only for the explicit label Watermark detected, and not_detected for "
|
||||
"Watermark not detected or SynthID was not detected. The portal reports partner SynthID from "
|
||||
"Google DeepMind, Nvidia, OpenAI, and Kakao without naming which partner. A not_detected "
|
||||
"result is not proof of human authorship. Preserve quota, sign-in, and unclear wording."
|
||||
),
|
||||
account_slots=False,
|
||||
network_slots=True,
|
||||
),
|
||||
"meta-web": OracleSurface(
|
||||
key="meta-web",
|
||||
provider_key="meta",
|
||||
@@ -278,6 +298,11 @@ def ordered_surfaces() -> list[OracleSurface]:
|
||||
return sorted(SURFACES.values(), key=_surface_order)
|
||||
|
||||
|
||||
def _automation_keys(automation: str) -> frozenset[str]:
|
||||
"""Return the surface keys that use one automation kind."""
|
||||
return frozenset(key for key, surface in SURFACES.items() if surface.automation == automation)
|
||||
|
||||
|
||||
def _inside(path: Path, parent: Path) -> bool:
|
||||
"""Return whether resolved PATH is inside resolved PARENT."""
|
||||
try:
|
||||
@@ -364,6 +389,8 @@ def load_slots(path: Path) -> dict[str, ExecutionSlot]:
|
||||
"api_key_env",
|
||||
}
|
||||
slots: dict[str, ExecutionSlot] = {}
|
||||
real_browser = _automation_keys("real_browser")
|
||||
playwright = _automation_keys("playwright")
|
||||
for index, raw_slot in enumerate(slot_items):
|
||||
if not isinstance(raw_slot, dict):
|
||||
raise ValueError(f"slot {index} must be a JSON object")
|
||||
@@ -407,19 +434,18 @@ def load_slots(path: Path) -> dict[str, ExecutionSlot]:
|
||||
raise ValueError(f"surface {surface_key} requires an account_label")
|
||||
if account_label is not None and not SURFACES[surface_key].account_slots:
|
||||
raise ValueError(f"surface {surface_key} does not use account slots")
|
||||
if surface_key == "gemini-web" and browser_profile is None:
|
||||
raise ValueError("surface gemini-web requires a browser_profile")
|
||||
if surface_key in real_browser and browser_profile is None:
|
||||
raise ValueError(f"surface {surface_key} requires a browser_profile")
|
||||
if surface_key == "gemini-web" and google_account_index is None:
|
||||
raise ValueError("surface gemini-web requires a google_account_index")
|
||||
if surface_key != "gemini-web" and google_account_index is not None:
|
||||
raise ValueError("only gemini-web uses google_account_index")
|
||||
if SURFACES[surface_key].automation == "api" and browser_profile is not None:
|
||||
raise ValueError(f"API surface {surface_key} does not use a browser_profile")
|
||||
if surface_key != "gemini-web" and browser_profile is not None:
|
||||
raise ValueError("only gemini-web uses a real browser_profile")
|
||||
if surface_key == "gemini-web" and proxy_url_env is not None:
|
||||
raise ValueError("surface gemini-web does not use proxy_url_env")
|
||||
if proxy_url_env is not None and surface_key not in {"openai-web", "microsoft-web", "meta-web"}:
|
||||
if surface_key not in real_browser and browser_profile is not None:
|
||||
raise ValueError("only a real-browser surface uses a browser_profile")
|
||||
# A proxy belongs to Playwright pages. Gemini and API calls stay direct.
|
||||
if proxy_url_env is not None and surface_key not in playwright:
|
||||
raise ValueError(f"surface {surface_key} does not use proxy_url_env")
|
||||
if surface_key == "openai-api" and api_key_env is None:
|
||||
raise ValueError("surface openai-api requires an api_key_env")
|
||||
@@ -858,10 +884,11 @@ def list_oracles(as_json: bool) -> None:
|
||||
def plan(provider: str, as_json: bool) -> None:
|
||||
"""Show the API-first surface order for one provider."""
|
||||
definitions = provider_plan(provider)
|
||||
has_api = any(definition.automation == "api" for definition in definitions)
|
||||
rows = []
|
||||
for index, definition in enumerate(definitions):
|
||||
for definition in definitions:
|
||||
row = definition.to_dict()
|
||||
row["preference"] = "primary" if index == 0 else "fallback"
|
||||
row["preference"] = "fallback" if has_api and definition.automation != "api" else "primary"
|
||||
rows.append(row)
|
||||
if as_json:
|
||||
click.echo(json.dumps(rows, indent=2, sort_keys=True))
|
||||
@@ -869,7 +896,7 @@ def plan(provider: str, as_json: bool) -> None:
|
||||
for row in rows:
|
||||
click.echo(f"{row['preference']}\t{row['key']}\t{row['automation']}\t{row['surface']}")
|
||||
if len(rows) > 1:
|
||||
click.echo("Web fallback requires a separate operator decision; failures do not trigger it automatically.")
|
||||
click.echo("This command only prints the order. After a failure, run the next surface as its own command.")
|
||||
|
||||
|
||||
@cli.command()
|
||||
@@ -1011,7 +1038,7 @@ def run_web(
|
||||
timeout_seconds: float,
|
||||
env_file: Path,
|
||||
) -> None:
|
||||
"""Submit a prepared non-Google Web batch through isolated Playwright."""
|
||||
"""Submit a prepared anonymous Web batch through isolated Playwright."""
|
||||
from provider_oracle_web import run_web_batch
|
||||
|
||||
report = run_web_batch(
|
||||
|
||||
@@ -98,7 +98,7 @@ def _train_detector(emb: dict[str, np.ndarray], catalog: dict) -> tuple[nn.Modul
|
||||
optimizer.zero_grad()
|
||||
loss_fn(model(features).squeeze(-1), labels).backward()
|
||||
optimizer.step()
|
||||
model.eval()
|
||||
model.train(False)
|
||||
dev = np.stack(
|
||||
[
|
||||
emb[row["sha256"]]
|
||||
@@ -161,7 +161,7 @@ def _train_provider(feat: dict[str, np.ndarray], catalog: dict) -> dict[str, nn.
|
||||
optimizer.zero_grad()
|
||||
_focal_loss(model(features).squeeze(-1), labels).backward()
|
||||
optimizer.step()
|
||||
heads[name] = model.eval()
|
||||
heads[name] = model.train(False)
|
||||
log.info("provider %s pos=%d", name, len(positive))
|
||||
return heads
|
||||
|
||||
|
||||
@@ -127,7 +127,7 @@ def load_model() -> object:
|
||||
import torch
|
||||
|
||||
model = torch.jit.load(str(checkpoint_path()), map_location="cpu")
|
||||
model.eval()
|
||||
model.train(False)
|
||||
return model
|
||||
|
||||
|
||||
|
||||
+30
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
|
||||
"name": "io.github.wiltodelta/remove-ai-watermarks",
|
||||
"title": "Remove AI Watermarks",
|
||||
"description": "Identify and remove AI watermarks and provenance metadata from your own images and video.",
|
||||
"version": "0.46.0",
|
||||
"repository": {
|
||||
"url": "https://github.com/wiltodelta/remove-ai-watermarks",
|
||||
"source": "github"
|
||||
},
|
||||
"websiteUrl": "https://github.com/wiltodelta/remove-ai-watermarks/blob/main/docs/mcp-server.md",
|
||||
"packages": [
|
||||
{
|
||||
"registryType": "pypi",
|
||||
"registryBaseUrl": "https://pypi.org",
|
||||
"identifier": "remove-ai-watermarks",
|
||||
"version": "0.46.0",
|
||||
"runtimeHint": "uvx",
|
||||
"transport": {
|
||||
"type": "stdio"
|
||||
},
|
||||
"packageArguments": [
|
||||
{
|
||||
"type": "positional",
|
||||
"value": "mcp"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "remove-ai-watermarks",
|
||||
"displayName": "Remove AI Watermarks",
|
||||
"version": "1.0.11",
|
||||
"version": "1.0.13",
|
||||
"description": "Identify and remove AI provenance marks from images and video the user generated or edited, using the remove-ai-watermarks CLI.",
|
||||
"author": {
|
||||
"name": "wiltodelta",
|
||||
|
||||
@@ -5,7 +5,7 @@ license: Apache-2.0
|
||||
compatibility: Python 3.11-3.14. Invisible image removal needs NVIDIA CUDA. Some video writes need ffmpeg. Installer may be uv, pipx, or pip.
|
||||
metadata:
|
||||
author: wiltodelta
|
||||
version: "1.0.11"
|
||||
version: "1.0.13"
|
||||
homepage: https://raiw.cc
|
||||
repository: https://github.com/wiltodelta/remove-ai-watermarks
|
||||
---
|
||||
@@ -27,8 +27,12 @@ change.
|
||||
|
||||
Refuse automatic removal of stock-agency, marketplace, classifieds,
|
||||
tiled-preview, or other marks that protect a third party's paid or copyrighted
|
||||
asset. `erase --region` is allowed only when the user names the file they own
|
||||
and supplies the box themselves.
|
||||
asset, or product branding a paid plan removes, such as "Made with Gamma". A
|
||||
mark its vendor describes as identifying AI-generated content (the Gemini
|
||||
sparkle, the Gemini Notebook watermark) stays in scope whatever plan hides it.
|
||||
`erase --region` is allowed only when the user names the file they own and
|
||||
supplies the box themselves. LLM text watermarks are out of scope: they live in
|
||||
word choice, not characters, so do not offer to strip characters from text.
|
||||
|
||||
Removing a local signal does not prove the file is human-made, does not erase
|
||||
server-side generation history, and does not make a deceptive origin claim
|
||||
@@ -153,8 +157,8 @@ Read the process exit code and whether `-o` exists.
|
||||
| Exit | Meaning | What to tell the user |
|
||||
| --- | --- | --- |
|
||||
| 0 | Requested work completed | The output path. Do not add "this is clean". |
|
||||
| 2 | No targeted signal | Unknown, not clean. No new file from `visible`. |
|
||||
| 1 | Error or partial `all` | Quote the error. Say which stage ran, if any. |
|
||||
| 2 | No targeted signal, or a `batch` directory with no supported file | Unknown, not clean. No new file from `visible`. |
|
||||
| 1 | Error, unreadable input, or partial `all` | Quote the error. Say which stage ran, if any. |
|
||||
|
||||
Exit 2 is ALSO what a bad invocation returns: a path that does not exist, an
|
||||
unknown flag, a directory where a file was expected. Read the output before
|
||||
@@ -163,7 +167,9 @@ means the command never ran, so fix it and rerun; only a command that reached
|
||||
the image can say "no targeted signal".
|
||||
|
||||
`identify` with no signal reports origin unknown. Never rephrase that as "no
|
||||
watermark" or "this is clean".
|
||||
watermark" or "this is clean". When `identify` or `metadata` exits 1 with
|
||||
`cannot read`, the file is damaged or not an image or video: any report above
|
||||
that line is incomplete, so say the file could not be read.
|
||||
|
||||
`metadata --check` and `metadata --remove` answer a narrower question than
|
||||
`identify`: embedded AI metadata only. Both print that this is not a clean
|
||||
|
||||
@@ -138,13 +138,20 @@ user names a device, and never to claim a device the probe did not report.
|
||||
Without `-o`, video commands write `<source>_clean` and keep the original.
|
||||
Output extension must match the input container.
|
||||
|
||||
## MCP server
|
||||
|
||||
`remove-ai-watermarks mcp` (since CLI 0.46.0) serves `identify`, `remove`
|
||||
and `batch` as MCP tools over stdin and stdout for MCP clients. It blocks
|
||||
waiting for protocol messages, so do not run it from this skill; call the
|
||||
commands above directly.
|
||||
|
||||
## Exit codes
|
||||
|
||||
| Code | Meaning |
|
||||
| --- | --- |
|
||||
| 0 | Requested work completed |
|
||||
| 2 | No targeted signal (`visible` / no-signal `invisible`) |
|
||||
| 1 | Hard failure, or `all` skipped a required invisible stage |
|
||||
| 2 | No targeted signal (`visible` / no-signal `invisible`), or a `batch` directory with no supported file |
|
||||
| 1 | Hard failure, an input that is not a readable image or video (`identify` and `metadata` included), or `all` skipped a required invisible stage |
|
||||
|
||||
A written file plus exit `1` from `all` is a partial result.
|
||||
|
||||
|
||||
@@ -32,7 +32,7 @@ _GPU_MARKERS = ("GPU ", "gpu:")
|
||||
# told an agent its CLI was current right before it typed a value that build
|
||||
# rejects. tests/test_agent_skill.py pins it against the package version and
|
||||
# against every "(since CLI X.Y.Z)" annotation in the skill.
|
||||
MIN_CLI_VERSION = (0, 45, 0)
|
||||
MIN_CLI_VERSION = (0, 46, 0)
|
||||
# Markers a build without the pixel stack prints. The first is the current CLI's own
|
||||
# install hint; the rest are what older builds emit before the guard existed, and the
|
||||
# Homebrew formula ships exactly such a build.
|
||||
|
||||
@@ -35,7 +35,7 @@ _os.environ.setdefault("TRANSFORMERS_VERBOSITY", "error")
|
||||
_warnings.filterwarnings("ignore", message=r".*ImageProcessorFast.*")
|
||||
|
||||
|
||||
__version__ = "0.45.1"
|
||||
__version__ = "0.46.0"
|
||||
|
||||
__all__ = [
|
||||
"BatchItemResult",
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
"""Generated C2PA soft-binding registry; do not edit by hand.
|
||||
|
||||
Source: https://raw.githubusercontent.com/c2pa-org/softbinding-algorithm-list/main/softbinding-algorithm-list.json
|
||||
Revision: d36d1c1742b1753ca064bb3307abfd95db912a28
|
||||
Revision: d5960248ab69c17dc194906d2ef7d11ad164be70
|
||||
Source license: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
|
||||
Changes: validated, ordered, and reduced to fields used at runtime; descriptions
|
||||
are shortened to their first sentence for display.
|
||||
@@ -12,7 +12,7 @@ from __future__ import annotations
|
||||
C2PA_SOFT_BINDING_SOURCE_URL = (
|
||||
"https://raw.githubusercontent.com/c2pa-org/softbinding-algorithm-list/main/softbinding-algorithm-list.json"
|
||||
)
|
||||
C2PA_SOFT_BINDING_SOURCE_REVISION = "d36d1c1742b1753ca064bb3307abfd95db912a28"
|
||||
C2PA_SOFT_BINDING_SOURCE_REVISION = "d5960248ab69c17dc194906d2ef7d11ad164be70"
|
||||
C2PA_SOFT_BINDING_SOURCE_LICENSE = "CC BY 4.0"
|
||||
|
||||
C2PA_SOFT_BINDING_ROWS: tuple[
|
||||
@@ -632,4 +632,15 @@ C2PA_SOFT_BINDING_ROWS: tuple[
|
||||
(),
|
||||
False,
|
||||
),
|
||||
(
|
||||
54,
|
||||
"be.immostory.videoseal.1",
|
||||
"watermark",
|
||||
("video",),
|
||||
("video/mp4",),
|
||||
"ImmoStory AI deployment of Meta FAIR's Video Seal 1.0 invisible video watermark",
|
||||
"2026-10-12T00:00:00.000Z",
|
||||
(),
|
||||
False,
|
||||
),
|
||||
)
|
||||
@@ -67,7 +67,7 @@ def load_headed_clip(checkpoint: Path, device: torch.device) -> HeadedCLIP:
|
||||
model = HeadedCLIP(clip)
|
||||
state = torch.load(checkpoint, map_location="cpu", weights_only=True)
|
||||
model.load_state_dict(state, strict=True)
|
||||
return model.to(device).eval()
|
||||
return model.to(device).train(False)
|
||||
|
||||
|
||||
def load_processor() -> Any:
|
||||
|
||||
@@ -16,7 +16,7 @@ if TYPE_CHECKING:
|
||||
|
||||
from remove_ai_watermarks.metadata import MAX_TC260_VALUE_BYTES, parse_tc260_aigc_json
|
||||
|
||||
_EBML_MAGIC = b"\x1aE\xdf\xa3"
|
||||
EBML_MAGIC = b"\x1aE\xdf\xa3"
|
||||
_SEGMENT_ID = 0x18538067
|
||||
_TAGS_ID = 0x1254C367
|
||||
_TAG_ID = 0x7373
|
||||
@@ -95,6 +95,16 @@ def _iter_elements(
|
||||
pos = element_end
|
||||
|
||||
|
||||
def iter_top_level_ends(stream: BinaryIO, size: int) -> Iterator[int]:
|
||||
"""End offset of each valid top-level element; stops early where a header fails.
|
||||
|
||||
An element whose declared size runs past ``size`` fails its header, so a truncated
|
||||
file yields a last end short of ``size``. An unknown-size Segment runs to ``size``.
|
||||
"""
|
||||
for _element_id, _payload_start, element_end in _iter_elements(stream, 0, size):
|
||||
yield element_end
|
||||
|
||||
|
||||
def _read_bounded(
|
||||
stream: BinaryIO,
|
||||
start: int,
|
||||
@@ -133,7 +143,7 @@ def tc260_aigc_payloads(path: str | Path) -> tuple[bytes, ...]:
|
||||
found: list[bytes] = []
|
||||
try:
|
||||
with open(path, "rb") as stream:
|
||||
if stream.read(4) != _EBML_MAGIC:
|
||||
if stream.read(4) != EBML_MAGIC:
|
||||
return ()
|
||||
stream.seek(0, 2)
|
||||
file_size = stream.tell()
|
||||
|
||||
@@ -7,7 +7,9 @@ without re-encoding, the image path drops matching boxes and emits the rest
|
||||
verbatim. The streaming MP4/MOV/M4A path instead preserves all offsets by
|
||||
retyping matching boxes as ``free`` and blanking their payloads in place. The
|
||||
codestream (``mdat`` for ISOBMFF, ``jxlc`` / ``jxlp`` for JPEG-XL) is untouched,
|
||||
so pixel, video, and audio data is preserved bit-for-bit.
|
||||
so pixel, video, and audio data is preserved bit-for-bit. The one exception is
|
||||
Kling's SEI tag inside ``mdat``: its bytes are blanked in place, which no decoder
|
||||
reads, so every decoded frame stays identical.
|
||||
|
||||
TC260-PG-20257A video metadata is nested instead:
|
||||
``moov.udta.meta.keys/ilst``. Its detector seeks through those boxes without
|
||||
@@ -43,8 +45,11 @@ from remove_ai_watermarks.metadata import (
|
||||
C2PA_UUID,
|
||||
IPTC_AI_FIELD_MARKERS,
|
||||
IPTC_AI_MARKERS,
|
||||
KLING_SEI_TAG,
|
||||
LOCAL_GENERATION_METADATA_KEYS,
|
||||
MAX_TC260_VALUE_BYTES,
|
||||
app_generator_from_metadata,
|
||||
app_provenance_from_metadata,
|
||||
parse_tc260_aigc_json,
|
||||
)
|
||||
|
||||
@@ -347,6 +352,55 @@ def _ai_metadata_regions(
|
||||
return regions
|
||||
|
||||
|
||||
def _app_metadata_regions(
|
||||
stream: BinaryIO,
|
||||
file_size: int,
|
||||
) -> list[tuple[tuple[int, int] | None, int, int]]:
|
||||
"""Locate keyed or keyless values carrying an app-export provenance object.
|
||||
|
||||
Dreamina writes its export JSON under ordinary keys (``LvMetaInfo`` and a
|
||||
second copy under ``com.apple.quicktime.artwork``). The file-level scan reads
|
||||
it from the raw head bytes, so removal must blank every item it would match.
|
||||
"""
|
||||
return [
|
||||
(key_span, value_start, value_end)
|
||||
for _name, key_span, value_start, value_end, value in _metadata_items(stream, file_size)
|
||||
if app_provenance_from_metadata(value) or app_generator_from_metadata(value)
|
||||
]
|
||||
|
||||
|
||||
def _copy_finding_kling_sei(
|
||||
source: BinaryIO,
|
||||
target: BinaryIO,
|
||||
mdat_ranges: list[tuple[int, int]],
|
||||
) -> list[int]:
|
||||
"""Copy ``source`` to ``target`` and return each Kling SEI tag offset in ``mdat``.
|
||||
|
||||
Detection reads the tag from the head window, but removal covers every copy in
|
||||
the media data. The search rides on the copy, so the file is read once. Each
|
||||
window carries one byte less than the tag from the previous chunk, so a copy
|
||||
straddling a read boundary is found exactly once.
|
||||
"""
|
||||
keep = len(KLING_SEI_TAG) - 1
|
||||
offsets: list[int] = []
|
||||
tail = b""
|
||||
pos = 0
|
||||
while chunk := source.read(_STREAM_COPY_BYTES):
|
||||
target.write(chunk)
|
||||
if mdat_ranges:
|
||||
window = tail + chunk
|
||||
base = pos - len(tail)
|
||||
found = window.find(KLING_SEI_TAG)
|
||||
while found != -1:
|
||||
start = base + found
|
||||
if any(low <= start and start + len(KLING_SEI_TAG) <= high for low, high in mdat_ranges):
|
||||
offsets.append(start)
|
||||
found = window.find(KLING_SEI_TAG, found + 1)
|
||||
tail = window[-keep:]
|
||||
pos += len(chunk)
|
||||
return offsets
|
||||
|
||||
|
||||
def ai_metadata_tags(path: str | Path, *, strict: bool = False) -> dict[str, str]:
|
||||
"""Read keyed AI-generation metadata from an ISOBMFF container."""
|
||||
try:
|
||||
@@ -601,15 +655,16 @@ def strip_isobmff_media_file(
|
||||
|
||||
The output retains every box size and byte offset. A top-level C2PA/JUMBF or
|
||||
AI-label box is converted to a ``free`` box and its payload is zeroed; native
|
||||
TC260 key/value spans are blanked in place. Keeping the original lengths is
|
||||
required because removing a pre-``mdat`` box would invalidate absolute media
|
||||
offsets in an existing sample table.
|
||||
TC260, generation-key and app-export key/value spans, and the Kling SEI tag in
|
||||
``mdat``, are blanked in place. Keeping the original lengths is required
|
||||
because removing a pre-``mdat`` box would invalidate absolute media offsets in
|
||||
an existing sample table.
|
||||
|
||||
The source is copied in bounded chunks to a sibling temporary file and
|
||||
atomically published only after all patches succeed. A malformed top-level
|
||||
walk is fail-safe: the input is copied unchanged.
|
||||
|
||||
Returns ``(provenance_boxes_blanked, native_tc260_keys_blanked)``.
|
||||
Returns ``(provenance_boxes_blanked, native_tags_blanked)``.
|
||||
"""
|
||||
from pathlib import Path as _Path
|
||||
|
||||
@@ -627,12 +682,23 @@ def strip_isobmff_media_file(
|
||||
)
|
||||
tc260_regions = _tc260_aigc_regions(stream, file_size) if targets is not None else []
|
||||
ai_metadata_regions = _ai_metadata_regions(stream, file_size) if targets is not None else []
|
||||
app_regions = _app_metadata_regions(stream, file_size) if targets is not None else []
|
||||
mdat_ranges = (
|
||||
[
|
||||
(payload, end)
|
||||
for _start, end, box_type, payload in iter_file_boxes(stream, 0, file_size)
|
||||
if box_type == b"mdat"
|
||||
]
|
||||
if targets is not None
|
||||
else []
|
||||
)
|
||||
tc260_key_spans = {region[0] for region in tc260_regions if region[0] is not None}
|
||||
ai_metadata_key_spans = {region[0] for region in ai_metadata_regions}
|
||||
app_key_spans = {region[0] for region in app_regions if region[0] is not None}
|
||||
|
||||
with atomic_video_output(output_path) as temporary_path:
|
||||
with source_path.open("rb") as source_stream, temporary_path.open("r+b") as temporary:
|
||||
shutil.copyfileobj(source_stream, temporary, length=_STREAM_COPY_BYTES)
|
||||
kling_sei_offsets = _copy_finding_kling_sei(source_stream, temporary, mdat_ranges)
|
||||
if targets is not None:
|
||||
for box_start, payload_start, box_end in targets:
|
||||
temporary.seek(box_start + 4)
|
||||
@@ -647,6 +713,15 @@ def strip_isobmff_media_file(
|
||||
temporary.seek(key_span[0])
|
||||
temporary.write(b"free" + b" " * (key_span[1] - key_span[0] - 4))
|
||||
_overwrite_range(temporary, value_start, value_end, byte=b" ")
|
||||
for key_span, value_start, value_end in app_regions:
|
||||
if key_span is not None:
|
||||
temporary.seek(key_span[0])
|
||||
temporary.write(b"free" + b" " * (key_span[1] - key_span[0] - 4))
|
||||
_overwrite_range(temporary, value_start, value_end, byte=b" ")
|
||||
# Spaces keep the SEI message well-formed: its length fields stand,
|
||||
# and a 0x20 run cannot form an emulation-prevention sequence.
|
||||
for offset in kling_sei_offsets:
|
||||
_overwrite_range(temporary, offset, offset + len(KLING_SEI_TAG), byte=b" ")
|
||||
temporary.flush()
|
||||
os.fsync(temporary.fileno())
|
||||
shutil.copymode(source_path, temporary_path)
|
||||
@@ -657,13 +732,21 @@ def strip_isobmff_media_file(
|
||||
source_path,
|
||||
)
|
||||
return 0, 0
|
||||
return len(targets), len(tc260_key_spans | ai_metadata_key_spans)
|
||||
# Every copy of the Kling tag is one tag, however many samples repeat it.
|
||||
return len(targets), len(tc260_key_spans | ai_metadata_key_spans | app_key_spans) + bool(kling_sei_offsets)
|
||||
|
||||
|
||||
def _blank_box(data: bytes, start: int, end: int, payload_off: int) -> bytes:
|
||||
"""Return ``data[start:end]`` as a ``free`` box of the same length and size
|
||||
encoding, with its payload zeroed, so no later file offset moves."""
|
||||
return data[start : start + 4] + b"free" + data[start + 8 : payload_off] + bytes(end - payload_off)
|
||||
|
||||
|
||||
def strip_c2pa_boxes(data: bytes) -> tuple[bytes, int]:
|
||||
"""Return ``(cleaned_bytes, stripped_count)`` with AI-provenance boxes removed.
|
||||
"""Return ``(cleaned_bytes, stripped_count)`` with AI-provenance boxes blanked.
|
||||
|
||||
Walks top-level boxes and drops:
|
||||
Walks top-level boxes and turns each of these into a same-length ``free`` box
|
||||
with a zeroed payload:
|
||||
- any ``uuid`` box whose UUID equals ``C2PA_UUID`` (a C2PA manifest);
|
||||
- any ``uuid`` box whose payload carries an AI-label marker (an XMP packet
|
||||
with a TC260 / IPTC / IPTC-2025.1 AI field -- caught by content, not by the
|
||||
@@ -671,10 +754,15 @@ def strip_c2pa_boxes(data: bytes) -> tuple[bytes, int]:
|
||||
non-AI XMP intact);
|
||||
- any ``jumb`` box (JPEG-XL JUMBF container).
|
||||
|
||||
All other boxes (incl. ``mdat`` / codestream) are emitted verbatim, so pixel
|
||||
and audio data is preserved bit-for-bit. Non-ISOBMFF input is returned
|
||||
The box is blanked rather than dropped because HEIF ``iloc`` and MP4
|
||||
``stco``/``co64`` locate the coded data by absolute file offset: dropping a
|
||||
box that precedes ``mdat`` moved the image without rewriting them, and a
|
||||
phone HEIC cleaned that way no longer decoded (2026-10-13). This matches
|
||||
:func:`strip_isobmff_media_file`. All other boxes (incl. ``mdat`` /
|
||||
codestream) are emitted verbatim, so pixel and audio data is preserved
|
||||
bit-for-bit. Non-ISOBMFF input is returned
|
||||
unchanged. Despite the name this also covers MP4/MOV/M4A video and audio
|
||||
(all ISOBMFF). NOTE: this drops only top-level boxes. AI metadata stored as an
|
||||
(all ISOBMFF). NOTE: this blanks only top-level boxes. AI metadata stored as an
|
||||
*item inside the ``meta`` box* (typical for AVIF/HEIF) is handled separately and
|
||||
in place (same length, no offset rewrite): AI-label XMP by
|
||||
:func:`blank_ai_xmp_packets`, and AI-generator tokens in an ``Exif`` item by
|
||||
@@ -688,17 +776,16 @@ def strip_c2pa_boxes(data: bytes) -> tuple[bytes, int]:
|
||||
consumed = 0
|
||||
for start, end, box_type, payload_off in _iter_top_level_boxes(data):
|
||||
consumed = end
|
||||
provenance = box_type == b"jumb"
|
||||
if box_type == b"uuid":
|
||||
# uuid boxes carry the 16-byte UUID immediately after the type.
|
||||
is_c2pa = payload_off + 16 <= end and data[payload_off : payload_off + 16] == C2PA_UUID
|
||||
has_ai_label = any(marker in data[payload_off:end] for marker in _AI_LABEL_MARKERS)
|
||||
if is_c2pa or has_ai_label:
|
||||
stripped += 1
|
||||
continue
|
||||
elif box_type == b"jumb":
|
||||
provenance = is_c2pa or any(marker in data[payload_off:end] for marker in _AI_LABEL_MARKERS)
|
||||
if provenance:
|
||||
stripped += 1
|
||||
continue
|
||||
out.extend(data[start:end])
|
||||
out.extend(_blank_box(data, start, end, payload_off))
|
||||
else:
|
||||
out.extend(data[start:end])
|
||||
|
||||
# Fail-safe: the walker returns early on a malformed box (bad size, or a box
|
||||
# that runs past EOF), so anything after it was never visited. Emitting `out`
|
||||
|
||||
@@ -823,7 +823,7 @@ class TwoStageZImagePipeline:
|
||||
torch_dtype=self._face_stage_dtype(),
|
||||
**kwargs,
|
||||
).to(self.device)
|
||||
model.eval()
|
||||
model.train(False)
|
||||
self._sam_model = model
|
||||
self._sam_processor = processor
|
||||
return model, processor
|
||||
|
||||
@@ -2,11 +2,15 @@
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import contextlib
|
||||
import os
|
||||
import secrets
|
||||
from typing import TYPE_CHECKING
|
||||
|
||||
from remove_ai_watermarks._internal.constants import JPEG_SUFFIXES, SUPPORTED_FORMATS
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from collections.abc import Generator
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
@@ -22,3 +26,19 @@ def get_image_format(file_path: Path) -> str:
|
||||
inputs therefore use its PNG fallback, matching the established API contract.
|
||||
"""
|
||||
return "JPEG" if file_path.suffix.casefold() in JPEG_SUFFIXES else "PNG"
|
||||
|
||||
|
||||
@contextlib.contextmanager
|
||||
def staged_sibling(output: Path) -> Generator[Path]:
|
||||
"""Yield an unused sibling of ``output``, published over it only if the block succeeds.
|
||||
|
||||
A strip that leaves AI metadata behind raises inside the block, so nothing reaches
|
||||
``output``. The name is not pre-created (``mkstemp`` would), so the writer gives the
|
||||
published file the default permissions rather than ``mkstemp``'s 0600.
|
||||
"""
|
||||
staged = output.with_name(f".{output.stem}-{secrets.token_hex(8)}{output.suffix}")
|
||||
try:
|
||||
yield staged
|
||||
os.replace(staged, output)
|
||||
finally:
|
||||
staged.unlink(missing_ok=True)
|
||||
@@ -217,9 +217,12 @@ class WatermarkRemover:
|
||||
bgr = np.ascontiguousarray(np.asarray(image.convert("RGB"))[:, :, ::-1])
|
||||
if not image_io.imwrite(str(output_path), bgr, display_tags_from=display_tags_from):
|
||||
image.save(output_path)
|
||||
from remove_ai_watermarks.metadata import remove_ai_metadata
|
||||
from remove_ai_watermarks.metadata import strip_and_verify
|
||||
|
||||
remove_ai_metadata(output_path, output_path, keep_standard=True)
|
||||
# Verified, so a marker that survives fails the run instead of shipping with it.
|
||||
_, leftover = strip_and_verify(output_path, output_path, keep_standard=True)
|
||||
if leftover:
|
||||
raise RuntimeError(f"AI metadata survived the strip: {', '.join(sorted(leftover))}")
|
||||
|
||||
def remove_watermark(
|
||||
self,
|
||||
|
||||
@@ -132,33 +132,36 @@ def _write_visible_result(
|
||||
if not removed and not write_noop:
|
||||
return
|
||||
|
||||
import shutil
|
||||
|
||||
from remove_ai_watermarks import image_io
|
||||
from remove_ai_watermarks._internal.utils import staged_sibling
|
||||
|
||||
out_path = Path(output)
|
||||
out_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
source_path = loaded.path
|
||||
if not removed and source_path is not None and source_path.suffix.lower() == out_path.suffix.lower():
|
||||
# Copy the ORIGINAL bytes instead of lossily re-encoding a no-op. An in-place
|
||||
# call needs no copy and would otherwise raise shutil.SameFileError.
|
||||
if source_path.resolve() != out_path.resolve():
|
||||
import shutil
|
||||
|
||||
shutil.copyfile(source_path, out_path)
|
||||
else:
|
||||
# Staged, so a strip that leaves AI metadata behind publishes nothing -- the
|
||||
# MetadataStripIncomplete contract.
|
||||
with staged_sibling(out_path) as staged:
|
||||
if not removed and source_path is not None and source_path.suffix.lower() == out_path.suffix.lower():
|
||||
# Copy the ORIGINAL bytes instead of lossily re-encoding a no-op.
|
||||
shutil.copyfile(source_path, staged)
|
||||
# imwrite is contractually NON-RAISING, so this bool is the only signal the file
|
||||
# was not created. Unchecked, the metadata strip below ran on a nonexistent path
|
||||
# and surfaced as a confusing "cannot read image <INPUT>" naming the OUTPUT path
|
||||
# (Tier E, 2026-07-20). Raise here so a library caller and the CLI both get an
|
||||
# accurate message about the write.
|
||||
if not image_io.write_bgr_with_alpha(
|
||||
out_path, result, loaded.alpha, display_tags_from=source_path, orientation_applied=False
|
||||
elif not image_io.write_bgr_with_alpha(
|
||||
staged, result, loaded.alpha, display_tags_from=source_path, orientation_applied=False
|
||||
):
|
||||
raise OSError(f"failed to write output (is the destination writable?): {out_path}")
|
||||
|
||||
if strip_metadata:
|
||||
from remove_ai_watermarks import metadata
|
||||
if strip_metadata:
|
||||
from remove_ai_watermarks.metadata import strip_and_verify
|
||||
|
||||
metadata.remove_ai_metadata(out_path, out_path)
|
||||
_, leftover = strip_and_verify(staged, staged)
|
||||
if leftover:
|
||||
raise MetadataStripIncomplete(set(leftover))
|
||||
|
||||
|
||||
def remove_visible(
|
||||
@@ -676,7 +679,9 @@ def remove_batch(
|
||||
from remove_ai_watermarks.optional_deps import pixels_available
|
||||
|
||||
src_dir, out_dir = Path(directory), Path(output_dir)
|
||||
out_dir.mkdir(parents=True, exist_ok=True)
|
||||
sources = sorted(p for p in src_dir.iterdir() if is_supported_format(p))
|
||||
if sources: # an empty run leaves no empty output directory behind
|
||||
out_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
def say(path: Path, stage: str, detail: str) -> None:
|
||||
if progress is not None:
|
||||
@@ -685,7 +690,7 @@ def remove_batch(
|
||||
unavailable: list[Path] = []
|
||||
errors: list[tuple[Path, str]] = []
|
||||
items: list[BatchItemResult] = []
|
||||
for img_path in sorted(p for p in src_dir.iterdir() if is_supported_format(p)):
|
||||
for img_path in sources:
|
||||
out_path = out_dir / img_path.name
|
||||
try:
|
||||
result = _run_batch_one(img_path, out_path, mode, backend, sensitivity, invisible, force, engine, say)
|
||||
|
||||
@@ -467,7 +467,7 @@ def _load_runtime(device: Any, backend: ClassifierBackend = "torch") -> _Runtime
|
||||
probe = np.load(_weight_path(folder, PROBE_FILE))
|
||||
detector = _build_detector()
|
||||
detector.load_state_dict(torch.load(_weight_path(folder, DETECTOR_FILE), map_location="cpu", weights_only=True))
|
||||
detector.to(device).eval()
|
||||
detector.to(device).train(False)
|
||||
packed = torch.load(_weight_path(folder, PROVIDER_FILE), map_location="cpu", weights_only=True)
|
||||
heads = {}
|
||||
for name in PROVIDER_LABELS:
|
||||
@@ -476,7 +476,7 @@ def _load_runtime(device: Any, backend: ClassifierBackend = "torch") -> _Runtime
|
||||
continue
|
||||
head = _build_provider_head()
|
||||
head.load_state_dict(packed[name])
|
||||
heads[name] = head.to(device).eval()
|
||||
heads[name] = head.to(device).train(False)
|
||||
ridge_threshold = float(probe["thr_oi_1pct"])
|
||||
mlp_threshold, provider_margin = _operating_point(folder)
|
||||
log.info("loaded photo-classify freeze from %s", folder)
|
||||
|
||||
@@ -125,6 +125,27 @@ def _validate_image(path: Path) -> Path:
|
||||
return path
|
||||
|
||||
|
||||
def _unreadable_input_exit(source: Path, *, after_report: bool, to_stderr: bool = False) -> None:
|
||||
"""Exit 1 when ``source`` is not a readable container; return otherwise.
|
||||
|
||||
The metadata scanners read raw bytes, so on bytes that are not an image or video
|
||||
they find nothing, and "nothing" used to print as the same no-signal answer a
|
||||
real file gets, with exit 0. ``after_report`` says whether a partial report was
|
||||
already printed above. ``to_stderr`` keeps a ``--json`` stdout parseable.
|
||||
"""
|
||||
from remove_ai_watermarks.metadata import unreadable_reason
|
||||
|
||||
if (reason := unreadable_reason(source)) is None:
|
||||
return
|
||||
scanned = "The scan above is incomplete" if after_report else "Nothing was scanned"
|
||||
message = f"Error: cannot read {source.name}: {reason}. {scanned}, not a no-signal result."
|
||||
if to_stderr:
|
||||
click.echo(message, err=True)
|
||||
else:
|
||||
console.print(f" {message}")
|
||||
raise SystemExit(1)
|
||||
|
||||
|
||||
def _resolved_strength_for_display(
|
||||
source: Path,
|
||||
strength: float | None,
|
||||
@@ -427,6 +448,8 @@ def _write_output_or_exit(
|
||||
bgr: NDArray[Any],
|
||||
alpha: NDArray[Any] | None,
|
||||
display_source: Path | None = None,
|
||||
*,
|
||||
strip_metadata: bool = False,
|
||||
) -> None:
|
||||
"""Write the final image, or fail with a readable error instead of a traceback.
|
||||
|
||||
@@ -438,11 +461,29 @@ def _write_output_or_exit(
|
||||
Regression: `tests/test_cli_robustness.py::TestFailedWriteIsReported`.
|
||||
|
||||
`display_source` is the file whose decode produced `bgr`; its ICC profile and EXIF
|
||||
orientation ride along into the re-encoded output (issue #98)."""
|
||||
orientation ride along into the re-encoded output (issue #98).
|
||||
|
||||
``strip_metadata`` strips and verifies AI metadata on a staged copy before it is
|
||||
published, so a marker that survives exits 1 with nothing written. Both commands
|
||||
using this used to swallow a failed strip unless ``--verbose`` was set."""
|
||||
from remove_ai_watermarks._internal.utils import staged_sibling
|
||||
from remove_ai_watermarks.metadata import strip_and_verify
|
||||
|
||||
output.parent.mkdir(parents=True, exist_ok=True)
|
||||
if not image_io.write_bgr_with_alpha(output, bgr, alpha, display_tags_from=display_source):
|
||||
console.print(f" Error: failed to write output (is the destination writable?): {output}")
|
||||
raise SystemExit(1)
|
||||
with staged_sibling(output) as staged:
|
||||
if not image_io.write_bgr_with_alpha(staged, bgr, alpha, display_tags_from=display_source):
|
||||
console.print(f" Error: failed to write output (is the destination writable?): {output}")
|
||||
raise SystemExit(1)
|
||||
if not strip_metadata:
|
||||
return
|
||||
try:
|
||||
_, leftover = strip_and_verify(staged, staged)
|
||||
except (OSError, RuntimeError, ValueError) as e:
|
||||
console.print(f" Error: failed to strip AI metadata from {output}: {e}")
|
||||
raise SystemExit(1) from e
|
||||
if leftover:
|
||||
console.print(f" Error: AI metadata survived in {output}: {', '.join(sorted(leftover))}")
|
||||
raise SystemExit(1)
|
||||
|
||||
|
||||
def _no_visible_mark_exit(source: Path) -> NoReturn:
|
||||
@@ -511,6 +552,10 @@ def _no_visible_mark_exit(source: Path) -> NoReturn:
|
||||
# instead of treating an unchanged image as a completed removal.
|
||||
EXIT_NO_INVISIBLE_SIGNAL = 2
|
||||
|
||||
# Also 2: a batch directory with no supported file processed nothing, which is a
|
||||
# no-signal outcome a wrapper must not read as a cleaned directory.
|
||||
EXIT_NOTHING_PROCESSED = EXIT_NO_INVISIBLE_SIGNAL
|
||||
|
||||
|
||||
def _no_invisible_signal_exit(source: Path) -> NoReturn:
|
||||
"""Explain why the diffusion scrub was skipped, then exit non-zero.
|
||||
@@ -636,7 +681,6 @@ def _run_visible_auto(
|
||||
|
||||
|
||||
def _run_visible_explicit(
|
||||
ctx: click.Context,
|
||||
source: Path,
|
||||
output: Path,
|
||||
*,
|
||||
@@ -685,15 +729,7 @@ def _run_visible_explicit(
|
||||
raise SystemExit(1) from e
|
||||
elapsed = time.monotonic() - t0
|
||||
|
||||
_write_output_or_exit(output, result, alpha, display_source=source)
|
||||
if strip_metadata:
|
||||
try:
|
||||
from remove_ai_watermarks.metadata import remove_ai_metadata
|
||||
|
||||
remove_ai_metadata(output, output)
|
||||
except Exception as e:
|
||||
if ctx.obj.get("verbose"):
|
||||
console.print(f" Warning: Failed to strip metadata: {e}")
|
||||
_write_output_or_exit(output, result, alpha, display_source=source, strip_metadata=strip_metadata)
|
||||
|
||||
size_kb = output.stat().st_size / 1024
|
||||
console.print(f" Saved: {output} ({size_kb:.0f} KB, {elapsed:.2f}s)")
|
||||
@@ -713,10 +749,8 @@ def _run_visible_explicit(
|
||||
@_visible_backend_option
|
||||
@_visible_sensitivity_option
|
||||
@click.option("--strip-metadata/--keep-metadata", default=True, help="Strip AI metadata from output.")
|
||||
@click.pass_context
|
||||
@_pixels_required
|
||||
def cmd_visible(
|
||||
ctx: click.Context,
|
||||
source: Path,
|
||||
output: Path | None,
|
||||
detect: bool,
|
||||
@@ -754,7 +788,6 @@ def cmd_visible(
|
||||
return
|
||||
|
||||
_run_visible_explicit(
|
||||
ctx,
|
||||
source,
|
||||
output,
|
||||
detect=detect,
|
||||
@@ -795,10 +828,8 @@ def _parse_region(spec: str) -> tuple[int, int, int, int]:
|
||||
@click.option("--inpaint-method", type=click.Choice(["telea", "ns"]), default="telea", help="cv2 inpaint method.")
|
||||
@click.option("--dilate", type=int, default=3, help="Grow the box by this many px before inpainting.")
|
||||
@click.option("--strip-metadata/--keep-metadata", default=True, help="Strip AI metadata from output.")
|
||||
@click.pass_context
|
||||
@_pixels_required
|
||||
def cmd_erase(
|
||||
ctx: click.Context,
|
||||
source: Path,
|
||||
regions: tuple[str, ...],
|
||||
output: Path | None,
|
||||
@@ -839,16 +870,7 @@ def cmd_erase(
|
||||
raise SystemExit(1) from e
|
||||
elapsed = time.monotonic() - t0
|
||||
|
||||
_write_output_or_exit(output, result, alpha, display_source=source)
|
||||
|
||||
if strip_metadata:
|
||||
try:
|
||||
from remove_ai_watermarks.metadata import remove_ai_metadata
|
||||
|
||||
remove_ai_metadata(output, output)
|
||||
except Exception as e:
|
||||
if ctx.obj.get("verbose"):
|
||||
console.print(f" Warning: Failed to strip metadata: {e}")
|
||||
_write_output_or_exit(output, result, alpha, display_source=source, strip_metadata=strip_metadata)
|
||||
|
||||
size_kb = output.stat().st_size / 1024
|
||||
console.print(f" Erased {len(boxes)} region(s) -> {output} ({size_kb:.0f} KB, {elapsed:.2f}s)")
|
||||
@@ -915,6 +937,11 @@ def cmd_invisible(
|
||||
source = _validate_image(source)
|
||||
if output is None:
|
||||
output = source.with_stem(source.stem + "_clean")
|
||||
# The scrub gate reads an undecodable file as "no target", which would exit 2
|
||||
# (nothing to remove) for a file this command never looked at.
|
||||
if image_io.imread(source) is None:
|
||||
console.print(f"Error: Failed to read image: {source}")
|
||||
raise SystemExit(1)
|
||||
|
||||
# An explicit --vendor wins over detection (see the option help) and implies the
|
||||
# scrub runs: naming the cohort asserts the pixel watermark is present, so the
|
||||
@@ -932,13 +959,17 @@ def cmd_invisible(
|
||||
def progress_cb(msg: str) -> None:
|
||||
console.print(f" {msg}")
|
||||
|
||||
engine = InvisibleEngine(
|
||||
pipeline=pipeline,
|
||||
hf_token=hf_token,
|
||||
progress_callback=progress_cb,
|
||||
controlnet_conditioning_scale=controlnet_scale,
|
||||
cpu_offload=cpu_offload,
|
||||
)
|
||||
try:
|
||||
engine = InvisibleEngine(
|
||||
pipeline=pipeline,
|
||||
hf_token=hf_token,
|
||||
progress_callback=progress_cb,
|
||||
controlnet_conditioning_scale=controlnet_scale,
|
||||
cpu_offload=cpu_offload,
|
||||
)
|
||||
except (OSError, RuntimeError, ValueError) as exc: # e.g. no CUDA device
|
||||
console.print(f" Error: {exc}")
|
||||
raise SystemExit(1) from exc
|
||||
|
||||
# Detect the SynthID vendor from the ORIGINAL (before processing strips C2PA) so the
|
||||
# displayed and executed strength agree on the vendor-adaptive default. An explicit
|
||||
@@ -1047,6 +1078,7 @@ def cmd_metadata(
|
||||
# accepts video/audio containers, so the image-format warning would misfire.
|
||||
# click's `exists=True` on the argument already enforces the file exists.
|
||||
_banner()
|
||||
_unreadable_input_exit(source, after_report=False)
|
||||
|
||||
if check or (not remove):
|
||||
has_ai = has_ai_metadata(source)
|
||||
@@ -1059,14 +1091,13 @@ def cmd_metadata(
|
||||
# Remove
|
||||
try:
|
||||
out, leftover = strip_and_verify(source, output, keep_standard=keep_standard)
|
||||
except (OSError, ValueError) as e: # unreadable / truncated / non-image (PIL raises OSError subclasses)
|
||||
except (OSError, RuntimeError, ValueError) as e: # unreadable input, or ffmpeg absent or failing
|
||||
console.print(f" Error: cannot process {source.name}: {e}")
|
||||
raise SystemExit(1) from e
|
||||
|
||||
if leftover:
|
||||
console.print(f" FAILED: {len(leftover)} AI metadata marker(s) survived in {out}")
|
||||
console.print(f" still present: {', '.join(sorted(leftover))}")
|
||||
console.print(" the file could not be decoded, so it was copied through unchanged")
|
||||
raise SystemExit(1)
|
||||
console.print(f" AI metadata stripped -> {out}")
|
||||
_print_metadata_not_a_clean_verdict()
|
||||
@@ -1435,6 +1466,9 @@ def cmd_video_batch(
|
||||
except (OSError, RuntimeError, ValueError) as e:
|
||||
raise click.ClickException(str(e)) from e
|
||||
|
||||
if not result.items:
|
||||
console.print(f" No supported videos found in {directory}; nothing was processed")
|
||||
raise SystemExit(EXIT_NOTHING_PROCESSED)
|
||||
for item in result.items:
|
||||
if item.error is not None:
|
||||
console.print(f" FAILED {item.source.name}: {item.error}")
|
||||
@@ -1483,6 +1517,7 @@ def cmd_identify(ctx: click.Context, source: Path, no_visible: bool, as_json: bo
|
||||
|
||||
if as_json:
|
||||
click.echo(json.dumps(asdict(report), default=str, indent=2))
|
||||
_unreadable_input_exit(source, after_report=True, to_stderr=True)
|
||||
return
|
||||
|
||||
_banner()
|
||||
@@ -1529,6 +1564,7 @@ def cmd_identify(ctx: click.Context, source: Path, no_visible: bool, as_json: bo
|
||||
console.print("\n Caveats:")
|
||||
for c in report.caveats:
|
||||
console.print(f" - {c}")
|
||||
_unreadable_input_exit(source, after_report=True)
|
||||
|
||||
|
||||
# ── Metadata-free photo classification (opt-in, never a tail of identify) ──
|
||||
@@ -1819,13 +1855,15 @@ def cmd_batch(
|
||||
|
||||
if output_dir is None:
|
||||
output_dir = directory.parent / (directory.name + "_clean")
|
||||
output_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
images = sorted(p for p in directory.iterdir() if is_supported_format(p))
|
||||
|
||||
if not images:
|
||||
console.print(f"No supported images found in {directory}")
|
||||
return
|
||||
# Nothing processed is the no-signal code, not success: a wrapper must not read
|
||||
# an empty run as a cleaned directory.
|
||||
console.print(f"No supported images found in {directory}; nothing was processed")
|
||||
raise SystemExit(EXIT_NOTHING_PROCESSED)
|
||||
output_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
console.print(f" Found {len(images)} images in {directory}")
|
||||
console.print(f" Output -> {output_dir}")
|
||||
@@ -1854,6 +1892,11 @@ def cmd_batch(
|
||||
if ctx.obj.get("verbose"):
|
||||
console.print(f" {img.name}: {stage}{f' {detail}' if detail else ''}")
|
||||
|
||||
try:
|
||||
engine = _batch_engine(mode, invisible_options)
|
||||
except (OSError, RuntimeError, ValueError) as e: # e.g. no CUDA device
|
||||
console.print(f" Error: {e}")
|
||||
raise SystemExit(1) from e
|
||||
summary = api_remove_batch(
|
||||
directory,
|
||||
output_dir,
|
||||
@@ -1862,7 +1905,7 @@ def cmd_batch(
|
||||
sensitivity=_parse_sensitivity(sensitivity),
|
||||
invisible=invisible_options,
|
||||
force=force,
|
||||
engine=_batch_engine(mode, invisible_options),
|
||||
engine=engine,
|
||||
progress=on_progress,
|
||||
)
|
||||
|
||||
@@ -1906,5 +1949,19 @@ def cmd_batch(
|
||||
raise SystemExit(1)
|
||||
|
||||
|
||||
# ── MCP server ──
|
||||
@main.command("mcp")
|
||||
def cmd_mcp() -> None:
|
||||
"""Run a Model Context Protocol server on stdin/stdout.
|
||||
|
||||
Exposes identify, remove and batch as MCP tools for agent clients. Each tool
|
||||
runs one command of this CLI, so results and exit codes match it. Start it as
|
||||
`uvx remove-ai-watermarks mcp` from the client's server configuration.
|
||||
"""
|
||||
from remove_ai_watermarks.mcp_server import serve
|
||||
|
||||
serve()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -311,6 +311,15 @@ class InvisibleEngine:
|
||||
with Image.open(image_path) as opened:
|
||||
image = ImageOps.exif_transpose(opened)
|
||||
orig_size = image.size # (width, height)
|
||||
# Diffusion only processes RGB. Keep alpha at the original display geometry
|
||||
# (after EXIF, before any resize) and rejoin it after all RGB postprocessing.
|
||||
# Palette and colour-key PNGs can carry transparency without an A band.
|
||||
alpha = (
|
||||
image.convert("RGBA").getchannel("A")
|
||||
if output_path.suffix.lower() in image_io.ALPHA_FORMATS
|
||||
and ("A" in image.getbands() or "transparency" in image.info)
|
||||
else None
|
||||
)
|
||||
# Full-res original, kept for the adaptive-polish detail target (image is
|
||||
# reassigned to the resized copy below; PIL resize returns a new object).
|
||||
reference_pil = image
|
||||
@@ -369,7 +378,7 @@ class InvisibleEngine:
|
||||
# Route those outputs through the same final resize so --no-adaptive-polish does
|
||||
# not silently change e.g. 1448x1086 into 1448x1080.
|
||||
needs_restore = target is not None or any(dimension % 8 for dimension in orig_size)
|
||||
if humanize > 0.0 or unsharp > 0.0 or adaptive_polish or needs_restore:
|
||||
if humanize > 0.0 or unsharp > 0.0 or adaptive_polish or needs_restore or alpha is not None:
|
||||
import cv2
|
||||
import numpy as np
|
||||
|
||||
@@ -390,7 +399,13 @@ class InvisibleEngine:
|
||||
progress=self._progress_callback,
|
||||
)
|
||||
|
||||
if not image_io.imwrite(out_path, out_cv, display_tags_from=image_path, orientation_applied=True):
|
||||
if not image_io.write_bgr_with_alpha(
|
||||
out_path,
|
||||
out_cv,
|
||||
np.asarray(alpha) if alpha is not None else None,
|
||||
display_tags_from=image_path,
|
||||
orientation_applied=True,
|
||||
):
|
||||
raise OSError(f"failed to write postprocessed output: {out_path}")
|
||||
|
||||
return out_path
|
||||
|
||||
@@ -0,0 +1,302 @@
|
||||
"""Model Context Protocol server over stdio, a thin wrapper around this package's CLI.
|
||||
|
||||
``remove-ai-watermarks mcp`` speaks newline-delimited JSON-RPC 2.0 on stdin and
|
||||
stdout with the initialize handshake. Each tool call runs one CLI command in a
|
||||
child process of the same interpreter, so a tool returns exactly what that command
|
||||
would: its exit code, its output file and its text. Nothing but protocol messages
|
||||
reaches stdout, and a crash inside a command cannot corrupt the stream.
|
||||
|
||||
The server needs no dependency beyond the standard library, so the bare package
|
||||
runs it through ``uvx remove-ai-watermarks mcp``. Commands that need an optional
|
||||
extra fail with the CLI's own install hint, returned as a tool error.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import contextlib
|
||||
import json
|
||||
import logging
|
||||
import os
|
||||
import subprocess
|
||||
import sys
|
||||
from collections.abc import Callable
|
||||
from pathlib import Path
|
||||
from typing import IO, Any, cast
|
||||
|
||||
from remove_ai_watermarks import __version__
|
||||
from remove_ai_watermarks.video import VIDEO_EXTENSIONS
|
||||
|
||||
log = logging.getLogger(__name__)
|
||||
|
||||
# Newest first. A client asking for an unlisted version gets the newest, and
|
||||
# decides for itself whether it can continue.
|
||||
PROTOCOL_VERSIONS = ("2025-11-25", "2025-06-18", "2025-03-26", "2024-11-05")
|
||||
|
||||
INSTRUCTIONS = (
|
||||
"Identify and remove AI provenance marks from images and video the user generated "
|
||||
"or edited themselves: C2PA, IPTC, EXIF and TC260 metadata, visible AI-generator "
|
||||
"labels, and supported invisible watermarks. Do not use it on stock, agency, "
|
||||
"marketplace or other third-party marks that protect someone else's asset. A "
|
||||
"result of 'unknown' or exit code 2 means no supported signal was found, not "
|
||||
"that the file is clean. Paths are read on the machine running the server."
|
||||
)
|
||||
|
||||
_MODES = ("metadata", "visible", "all")
|
||||
|
||||
TOOLS: list[dict[str, Any]] = [
|
||||
{
|
||||
"name": "identify",
|
||||
"title": "Identify AI provenance",
|
||||
"description": (
|
||||
"Report which AI provenance signals an image or video carries: metadata "
|
||||
"(C2PA, IPTC, EXIF, TC260), visible AI-generator labels, and supported local "
|
||||
"invisible-watermark decoders. Read-only. Video is detected by file suffix."
|
||||
),
|
||||
"inputSchema": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"path": {"type": "string", "description": "Image or video file to inspect."},
|
||||
"check_visible": {
|
||||
"type": "boolean",
|
||||
"default": True,
|
||||
"description": "Run the pixel and visible-mark detectors. False reads metadata only.",
|
||||
},
|
||||
},
|
||||
"required": ["path"],
|
||||
"additionalProperties": False,
|
||||
},
|
||||
"annotations": {"readOnlyHint": True, "openWorldHint": False},
|
||||
},
|
||||
{
|
||||
"name": "remove",
|
||||
"title": "Remove AI watermarks from one file",
|
||||
"description": (
|
||||
"Write a cleaned copy of an image or video the user generated or edited. "
|
||||
"mode=metadata strips AI metadata without touching pixels or re-encoding video; "
|
||||
"mode=visible also removes a known visible AI label; for an image, mode=all adds "
|
||||
"the invisible-watermark scrub where the installed extras and hardware allow it. "
|
||||
"The source is never overwritten; the default output is <name>_clean beside it."
|
||||
),
|
||||
"inputSchema": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"path": {"type": "string", "description": "Image or video file to clean."},
|
||||
"mode": {"type": "string", "enum": list(_MODES), "default": "metadata"},
|
||||
"output": {"type": "string", "description": "Output file. Must differ from the source."},
|
||||
},
|
||||
"required": ["path"],
|
||||
"additionalProperties": False,
|
||||
},
|
||||
"annotations": {"readOnlyHint": False, "destructiveHint": False, "openWorldHint": False},
|
||||
},
|
||||
{
|
||||
"name": "batch",
|
||||
"title": "Remove AI watermarks from a directory",
|
||||
"description": (
|
||||
"Clean every supported image (media=image) or video (media=video) in a directory "
|
||||
"the user owns, writing results to a separate directory (default <dir>_clean). "
|
||||
"Modes as for the remove tool."
|
||||
),
|
||||
"inputSchema": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"directory": {"type": "string", "description": "Directory of input files."},
|
||||
"mode": {"type": "string", "enum": list(_MODES), "default": "metadata"},
|
||||
"media": {"type": "string", "enum": ["image", "video"], "default": "image"},
|
||||
"output_dir": {"type": "string", "description": "Output directory. Must differ from the input."},
|
||||
},
|
||||
"required": ["directory"],
|
||||
"additionalProperties": False,
|
||||
},
|
||||
"annotations": {"readOnlyHint": False, "destructiveHint": False, "openWorldHint": False},
|
||||
},
|
||||
]
|
||||
|
||||
_TOOL_SCHEMAS = {tool["name"]: tool["inputSchema"] for tool in TOOLS}
|
||||
|
||||
Runner = Callable[[list[str]], subprocess.CompletedProcess[str]]
|
||||
|
||||
|
||||
class ToolInputError(ValueError):
|
||||
"""A tool call whose arguments the server refuses before running anything."""
|
||||
|
||||
|
||||
def run_cli(args: list[str]) -> subprocess.CompletedProcess[str]:
|
||||
"""Run one CLI command in a child process of this interpreter."""
|
||||
env = {**os.environ, "COLUMNS": "120", "NO_COLOR": "1", "TERM": "dumb"}
|
||||
command = [sys.executable, "-m", "remove_ai_watermarks.cli", *args]
|
||||
log.info("Running CLI command: %s", command)
|
||||
completed = subprocess.run( # noqa: S603 -- fixed interpreter, argument list, no shell
|
||||
command,
|
||||
stdin=subprocess.DEVNULL,
|
||||
capture_output=True,
|
||||
text=True,
|
||||
env=env,
|
||||
check=False,
|
||||
)
|
||||
log.info("CLI command exited %d: %s", completed.returncode, command)
|
||||
return completed
|
||||
|
||||
|
||||
def _validated(tool: str, arguments: dict[str, Any]) -> dict[str, Any]:
|
||||
"""Check arguments against the tool's own input schema and fill its defaults."""
|
||||
schema = _TOOL_SCHEMAS[tool]
|
||||
properties: dict[str, dict[str, Any]] = schema["properties"]
|
||||
unknown = sorted(set(arguments) - set(properties))
|
||||
if unknown:
|
||||
raise ToolInputError(f"unknown argument(s): {', '.join(unknown)}")
|
||||
values: dict[str, Any] = {}
|
||||
for key, spec in properties.items():
|
||||
if key not in arguments:
|
||||
if key in schema["required"]:
|
||||
raise ToolInputError(f"'{key}' is required")
|
||||
if "default" in spec:
|
||||
values[key] = spec["default"]
|
||||
continue
|
||||
value = arguments[key]
|
||||
if spec["type"] == "boolean" and not isinstance(value, bool):
|
||||
raise ToolInputError(f"'{key}' must be a boolean")
|
||||
if spec["type"] == "string" and (not isinstance(value, str) or not value.strip()):
|
||||
raise ToolInputError(f"'{key}' must be a non-empty string")
|
||||
if "enum" in spec and value not in spec["enum"]:
|
||||
raise ToolInputError(f"'{key}' must be one of {', '.join(spec['enum'])}")
|
||||
values[key] = value
|
||||
return values
|
||||
|
||||
|
||||
def _is_video(path: str) -> bool:
|
||||
return Path(path).suffix.lower() in VIDEO_EXTENSIONS
|
||||
|
||||
|
||||
def _identify_command(values: dict[str, Any]) -> tuple[list[str], str | None]:
|
||||
path = values["path"]
|
||||
prefix = ["video", "identify"] if _is_video(path) else ["identify"]
|
||||
return [*prefix, "--json", *([] if values["check_visible"] else ["--no-visible"]), "--", path], None
|
||||
|
||||
|
||||
def _remove_command(values: dict[str, Any]) -> tuple[list[str], str | None]:
|
||||
path, mode = values["path"], values["mode"]
|
||||
source = Path(path)
|
||||
output = values.get("output") or str(source.with_stem(source.stem + "_clean"))
|
||||
if Path(output).resolve() == source.resolve():
|
||||
raise ToolInputError("'output' must differ from the source; the server never overwrites an input")
|
||||
command = ["metadata", "--remove"] if mode == "metadata" else [mode]
|
||||
return [*(["video"] if _is_video(path) else []), *command, "-o", output, "--", path], output
|
||||
|
||||
|
||||
def _batch_command(values: dict[str, Any]) -> tuple[list[str], str | None]:
|
||||
directory = values["directory"]
|
||||
resolved = Path(directory).resolve()
|
||||
output_dir = values.get("output_dir") or str(resolved.with_name(resolved.name + "_clean"))
|
||||
if Path(output_dir).resolve() == resolved:
|
||||
raise ToolInputError("'output_dir' must differ from the input directory")
|
||||
command = ["video", "batch"] if values["media"] == "video" else ["batch"]
|
||||
return [*command, "--mode", values["mode"], "-o", output_dir, "--", directory], output_dir
|
||||
|
||||
|
||||
_COMMANDS: dict[str, Callable[[dict[str, Any]], tuple[list[str], str | None]]] = {
|
||||
"identify": _identify_command,
|
||||
"remove": _remove_command,
|
||||
"batch": _batch_command,
|
||||
}
|
||||
|
||||
|
||||
def call_tool(name: str, arguments: dict[str, Any], runner: Runner = run_cli) -> dict[str, Any]:
|
||||
"""Run one tool and return an MCP ``tools/call`` result."""
|
||||
try:
|
||||
args, output = _COMMANDS[name](_validated(name, arguments))
|
||||
except ToolInputError as exc:
|
||||
return {"content": [{"type": "text", "text": f"Invalid arguments: {exc}"}], "isError": True}
|
||||
try:
|
||||
completed = runner(args)
|
||||
except OSError as exc: # the child never started, so there is no exit code to relay
|
||||
log.warning("CLI command could not start: %s: %s", args, exc)
|
||||
return {"content": [{"type": "text", "text": f"The command could not start: {exc}"}], "isError": True}
|
||||
code = completed.returncode
|
||||
text = completed.stdout.strip()
|
||||
stderr = completed.stderr.strip()[-4000:]
|
||||
structured: dict[str, Any] = {"command": ["remove-ai-watermarks", *args], "exit_code": code, "output": output}
|
||||
if "--json" in args and code == 0:
|
||||
with contextlib.suppress(json.JSONDecodeError):
|
||||
structured["report"] = json.loads(text)
|
||||
if "report" not in structured:
|
||||
structured["stdout"] = text
|
||||
if stderr:
|
||||
structured["stderr"] = stderr
|
||||
# The CLI's own exit 2 means no supported signal, or a batch directory with nothing
|
||||
# to process, both results. Click also exits 2 on
|
||||
# a usage error, such as a missing file, and prints its usage line on stderr.
|
||||
no_signal = code == 2 and "Usage:" not in stderr
|
||||
is_error = code != 0 and not no_signal
|
||||
summary = f"exit code {code}"
|
||||
if no_signal:
|
||||
summary += " (no supported signal found, or nothing to process; this is unknown, not proof of a clean file)"
|
||||
body = "\n\n".join(part for part in (summary, text, stderr if is_error else "") if part)
|
||||
return {"content": [{"type": "text", "text": body}], "structuredContent": structured, "isError": is_error}
|
||||
|
||||
|
||||
def _error(request_id: object, code: int, message: str) -> dict[str, Any]:
|
||||
return {"jsonrpc": "2.0", "id": request_id, "error": {"code": code, "message": message}}
|
||||
|
||||
|
||||
def _object(value: object) -> dict[str, Any] | None:
|
||||
"""A decoded JSON object, or ``None`` for any other JSON value."""
|
||||
return cast("dict[str, Any]", value) if isinstance(value, dict) else None
|
||||
|
||||
|
||||
def handle(raw: object, runner: Runner = run_cli) -> dict[str, Any] | None:
|
||||
"""Answer one JSON-RPC message; ``None`` for notifications and client responses."""
|
||||
message = _object(raw)
|
||||
if message is None or message.get("jsonrpc") != "2.0":
|
||||
return _error(None, -32600, "Invalid Request")
|
||||
method = message.get("method")
|
||||
if "id" not in message:
|
||||
return None # a notification or a response to nothing this server sent
|
||||
request_id: object = message["id"]
|
||||
if not isinstance(method, str):
|
||||
return _error(request_id, -32600, "Invalid Request")
|
||||
params = _object(message.get("params") or {})
|
||||
if params is None:
|
||||
return _error(request_id, -32602, "params must be an object")
|
||||
|
||||
if method == "initialize":
|
||||
requested = params.get("protocolVersion")
|
||||
result: dict[str, Any] = {
|
||||
"protocolVersion": requested if requested in PROTOCOL_VERSIONS else PROTOCOL_VERSIONS[0],
|
||||
"capabilities": {"tools": {"listChanged": False}},
|
||||
"serverInfo": {"name": "remove-ai-watermarks", "title": "Remove AI Watermarks", "version": __version__},
|
||||
"instructions": INSTRUCTIONS,
|
||||
}
|
||||
elif method == "ping":
|
||||
result = {}
|
||||
elif method == "tools/list":
|
||||
result = {"tools": TOOLS}
|
||||
elif method == "tools/call":
|
||||
name = params.get("name")
|
||||
arguments = _object(params.get("arguments") or {})
|
||||
if not isinstance(name, str) or name not in _COMMANDS:
|
||||
return _error(request_id, -32602, f"Unknown tool: {name}")
|
||||
if arguments is None:
|
||||
return _error(request_id, -32602, "arguments must be an object")
|
||||
result = call_tool(name, arguments, runner)
|
||||
else:
|
||||
return _error(request_id, -32601, f"Method not found: {method}")
|
||||
return {"jsonrpc": "2.0", "id": request_id, "result": result}
|
||||
|
||||
|
||||
def serve(stdin: IO[str] | None = None, stdout: IO[str] | None = None, runner: Runner = run_cli) -> None:
|
||||
"""Serve newline-delimited JSON-RPC until stdin closes."""
|
||||
source: IO[str] = sys.stdin if stdin is None else stdin
|
||||
sink: IO[str] = sys.stdout if stdout is None else stdout
|
||||
for line in source:
|
||||
if not line.strip():
|
||||
continue
|
||||
try:
|
||||
message = json.loads(line)
|
||||
except json.JSONDecodeError:
|
||||
response: dict[str, Any] | None = _error(None, -32700, "Parse error")
|
||||
else:
|
||||
response = handle(message, runner)
|
||||
if response is not None:
|
||||
sink.write(json.dumps(response, ensure_ascii=False) + "\n")
|
||||
sink.flush()
|
||||
@@ -85,6 +85,11 @@ AI_KEYWORDS: tuple[str, ...] = (
|
||||
# Reference: https://spec.c2pa.org/specifications/specifications/2.1/specs/C2PA_Specification.html
|
||||
C2PA_UUID: bytes = bytes.fromhex("d8fec3d61b0e483c92975828877ec481")
|
||||
|
||||
# Kling's encoder writes an H.264 ``user_data_unregistered`` SEI message (payload
|
||||
# type 5) whose payload is this UUID followed by ``kling-ai``. It lives in the coded
|
||||
# stream inside ``mdat``, where no metadata box walk reaches it.
|
||||
KLING_SEI_TAG: bytes = bytes.fromhex("91ca60614aee385486142d5f73f4ae2e") + b"kling-ai"
|
||||
|
||||
|
||||
def c2pa_marker_in(data: bytes) -> bool:
|
||||
"""True if ``data`` carries a real C2PA manifest marker, not just an
|
||||
@@ -1430,6 +1435,10 @@ def get_ai_metadata(image_path: Path) -> dict[str, str]:
|
||||
if app_generator:
|
||||
result.setdefault("app_aigc", f"App AIGC disclosure ({app_generator})")
|
||||
|
||||
# Kling's encoder tag, an H.264 SEI message in the first video sample.
|
||||
if KLING_SEI_TAG in app_scan:
|
||||
result.setdefault("kling_sei", "Kling AI encoder tag (H.264 SEI kling-ai)")
|
||||
|
||||
# xAI / Grok signature pair in EXIF or an equivalent container-native field.
|
||||
if xai_signature(image_path):
|
||||
result.setdefault("xai_signature", "xAI/Grok signature (UUID + Signature blob)")
|
||||
@@ -1847,6 +1856,92 @@ def _sniff_image_format(head: bytes) -> str | None:
|
||||
return None
|
||||
|
||||
|
||||
_JXL_CONTAINER_MAGIC = b"\x00\x00\x00\x0cJXL \r\n\x87\n"
|
||||
# Accepted on their magic alone: no local parser walks them, and the ffmpeg strip path
|
||||
# fails on its own when one is unreadable. JPEG XL codestream, FLV, ID3, FLAC, Ogg.
|
||||
_MAGIC_ONLY: tuple[bytes, ...] = (b"\xff\x0a", b"FLV", b"ID3", b"fLaC", b"OggS")
|
||||
_PILLOW_RASTERS = frozenset({"png", "jpeg", "webp", "gif", "bmp", "tiff"})
|
||||
|
||||
|
||||
def _tiling_reason(kind: str, ends: Iterable[int], size: int) -> str | None:
|
||||
"""None when the last top-level element ends at EOF; a truncation leaves a gap."""
|
||||
end = max(ends, default=0) # top-level end offsets only increase
|
||||
if end == size:
|
||||
return None
|
||||
return f"the {kind} structure stops at byte {end} of {size} (truncated or corrupt)"
|
||||
|
||||
|
||||
def _pixel_stack_decodes(path: Path) -> bool:
|
||||
"""Whether the optional pixel stack decodes ``path``; False when it is absent."""
|
||||
from remove_ai_watermarks.optional_deps import pixels_available
|
||||
|
||||
if not pixels_available():
|
||||
return False
|
||||
from remove_ai_watermarks import image_io
|
||||
|
||||
return image_io.imread(path) is not None
|
||||
|
||||
|
||||
@functools.lru_cache(maxsize=8)
|
||||
def _unreadable_reason_cached(path_str: str, _mtime_ns: int, size: int) -> str | None:
|
||||
from pathlib import Path as _Path
|
||||
|
||||
from PIL import Image
|
||||
|
||||
from remove_ai_watermarks._internal.ebml import EBML_MAGIC, iter_top_level_ends
|
||||
from remove_ai_watermarks._internal.isobmff import iter_file_boxes
|
||||
from remove_ai_watermarks.forensic_metadata import sniff_format
|
||||
|
||||
path = _Path(path_str)
|
||||
if size == 0:
|
||||
return "the file is empty"
|
||||
with path.open("rb") as stream:
|
||||
head = stream.read(32)
|
||||
kind = sniff_format(head)
|
||||
if kind.startswith("isobmff:") or head.startswith(_JXL_CONTAINER_MAGIC):
|
||||
return _tiling_reason("ISOBMFF box", (end for _s, end, _t, _p in iter_file_boxes(stream, 0, size)), size)
|
||||
if head.startswith(EBML_MAGIC):
|
||||
return _tiling_reason("EBML element", iter_top_level_ends(stream, size), size)
|
||||
if kind in _PILLOW_RASTERS:
|
||||
try:
|
||||
with Image.open(path) as image:
|
||||
image.load()
|
||||
except Image.DecompressionBombError:
|
||||
return None # readable, merely too large for a precautionary full decode
|
||||
except Exception as exc:
|
||||
# The pixel stack decodes some rasters Pillow rejects (a PNG with a bad eXIf
|
||||
# CRC), and strip_and_verify recovers those through it, so they are readable.
|
||||
return None if _pixel_stack_decodes(path) else f"the image cannot be decoded: {exc}"
|
||||
return None
|
||||
if head.startswith(b"RIFF") and len(head) >= 8:
|
||||
declared = 8 + struct.unpack_from("<I", head, 4)[0]
|
||||
return None if declared <= size else f"the RIFF header declares {declared} bytes but the file has {size}"
|
||||
mpeg_audio_sync = len(head) > 1 and head[0] == 0xFF and head[1] & 0xE0 == 0xE0
|
||||
if head.startswith(_MAGIC_ONLY) or mpeg_audio_sync:
|
||||
return None
|
||||
return "the content is not a recognized image, video or audio container"
|
||||
|
||||
|
||||
def unreadable_reason(path: Path) -> str | None:
|
||||
"""Why ``path`` is not a readable image, video or audio container, or None.
|
||||
|
||||
The metadata scanners read raw bytes, so on a file that is not a container at all
|
||||
they find nothing and say so, which is the same answer a real file without metadata
|
||||
gets. Callers that report "no metadata" or "stripped" ask this first, so an
|
||||
unreadable input fails instead of reading as clean. Rasters must fully decode in
|
||||
Pillow or, when it is installed, the pixel stack; ISOBMFF boxes and EBML elements
|
||||
must tile the file, which is what a truncation breaks; a RIFF file must hold its
|
||||
declared size. The formats in ``_MAGIC_ONLY`` and MPEG audio frames have no local
|
||||
walker and pass on their magic. Memoized on (path, mtime, size): one command asks
|
||||
several times about the same input.
|
||||
"""
|
||||
try:
|
||||
stat = path.stat()
|
||||
return _unreadable_reason_cached(str(path), stat.st_mtime_ns, stat.st_size)
|
||||
except OSError as exc:
|
||||
return f"cannot be read: {exc}"
|
||||
|
||||
|
||||
def strip_and_verify(
|
||||
source_path: Path,
|
||||
output_path: Path | None = None,
|
||||
@@ -1857,10 +1952,12 @@ def strip_and_verify(
|
||||
|
||||
:func:`remove_ai_metadata` is deliberately fail-safe: a file PIL cannot decode is
|
||||
copied through UNCHANGED rather than crashing a caller, and the path it returns is
|
||||
indistinguishable from a real strip. Any caller that reports an outcome to a user
|
||||
therefore cannot tell a no-op from a success. A Samsung C2PA compatibility case
|
||||
exposed this when `metadata --remove` reported success while the output still read
|
||||
as AI.
|
||||
indistinguishable from a real strip. This wrapper is what a caller reporting an
|
||||
outcome uses instead: it refuses a source :func:`unreadable_reason` rejects with
|
||||
``ValueError`` before writing anything, because a copy-through of bytes nothing can
|
||||
parse may carry no marker a re-scan sees, and then re-scans what it wrote. A
|
||||
Samsung C2PA compatibility case exposed the original gap when `metadata --remove`
|
||||
reported success while the output still read as AI.
|
||||
|
||||
If markers survive but OpenCV can still decode the raster, the verified path
|
||||
normalizes the container through :mod:`image_io` and scans once more. This
|
||||
@@ -1869,6 +1966,8 @@ def strip_and_verify(
|
||||
|
||||
Returns ``(output_path, surviving_markers)``; an empty mapping means a real strip.
|
||||
"""
|
||||
if (reason := unreadable_reason(source_path)) is not None:
|
||||
raise ValueError(f"cannot read {source_path.name}: {reason}")
|
||||
out = remove_ai_metadata(source_path, output_path, keep_standard=keep_standard)
|
||||
remaining = get_ai_metadata(out)
|
||||
if not remaining:
|
||||
|
||||
@@ -32,7 +32,6 @@ _EBML_VIDEO_EXTENSIONS: frozenset[str] = frozenset({".webm", ".mkv"})
|
||||
_RIFF_VIDEO_EXTENSIONS: frozenset[str] = frozenset({".avi"})
|
||||
_FLV_VIDEO_EXTENSIONS: frozenset[str] = frozenset({".flv"})
|
||||
_REGENERATED_VIDEO_EXTENSIONS: frozenset[str] = _ISOBMFF_VIDEO_EXTENSIONS
|
||||
_EBML_MAGIC = b"\x1aE\xdf\xa3"
|
||||
|
||||
|
||||
def _require_video_runtime() -> None:
|
||||
@@ -237,17 +236,23 @@ def _video_source(source: str | Path) -> Path:
|
||||
if path.suffix.lower() not in VIDEO_EXTENSIONS:
|
||||
supported = ", ".join(sorted(VIDEO_EXTENSIONS))
|
||||
raise ValueError(f"Unsupported video format {path.suffix or '<none>'}; expected one of: {supported}")
|
||||
from remove_ai_watermarks._internal.ebml import EBML_MAGIC
|
||||
|
||||
with path.open("rb") as stream:
|
||||
head = stream.read(12)
|
||||
suffix = path.suffix.lower()
|
||||
matches_container = (
|
||||
(suffix in _ISOBMFF_VIDEO_EXTENSIONS and len(head) >= 8 and head[4:8] == b"ftyp")
|
||||
or (suffix in _EBML_VIDEO_EXTENSIONS and head.startswith(_EBML_MAGIC))
|
||||
or (suffix in _EBML_VIDEO_EXTENSIONS and head.startswith(EBML_MAGIC))
|
||||
or (suffix in _RIFF_VIDEO_EXTENSIONS and len(head) >= 12 and head[:4] == b"RIFF" and head[8:12] == b"AVI ")
|
||||
or (suffix in _FLV_VIDEO_EXTENSIONS and head.startswith(b"FLV"))
|
||||
)
|
||||
if not matches_container:
|
||||
raise ValueError(f"Video content does not match its {suffix} extension: {path}")
|
||||
from remove_ai_watermarks.metadata import unreadable_reason
|
||||
|
||||
if (reason := unreadable_reason(path)) is not None:
|
||||
raise ValueError(f"Cannot read video {path}: {reason}")
|
||||
return path
|
||||
|
||||
|
||||
@@ -377,6 +382,8 @@ def _platform_from_video_metadata(markers: dict[str, str]) -> str | None:
|
||||
return _tc260_video_platform(markers.get("aigc_producer", "")) or (
|
||||
"China AIGC-labeled content (TC260 standard)"
|
||||
)
|
||||
if "kling_sei" in markers:
|
||||
return _tc260_video_platform("kling")
|
||||
return None
|
||||
|
||||
|
||||
@@ -712,13 +719,13 @@ def remove_video_batch(
|
||||
)
|
||||
if output_path.resolve() == directory_path.resolve():
|
||||
raise ValueError("Video batch output directory must differ from the source directory")
|
||||
output_path.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
sources = tuple(
|
||||
path
|
||||
for path in sorted(directory_path.iterdir(), key=lambda candidate: candidate.name.lower())
|
||||
if path.is_file() and path.suffix.lower() in VIDEO_EXTENSIONS
|
||||
)
|
||||
if sources:
|
||||
output_path.mkdir(parents=True, exist_ok=True)
|
||||
items: list[VideoBatchItem] = []
|
||||
invisible_runtime: VideoVaeRuntime | None = None
|
||||
invisible_runtime_error: str | None = None
|
||||
|
||||
@@ -135,7 +135,7 @@ def load_video_vae_runtime(
|
||||
dtype = torch.float16 if resolved_device == "cuda" else torch.float32
|
||||
log.info("Loading %s on %s", model, resolved_device)
|
||||
vae = AutoencoderKL.from_pretrained(model, torch_dtype=dtype).to(resolved_device)
|
||||
vae.eval()
|
||||
vae.train(False)
|
||||
vae.enable_slicing()
|
||||
scaling_factor = float(vae.config.scaling_factor)
|
||||
log.info("Latent scaling factor %.5f", scaling_factor)
|
||||
|
||||
@@ -14,6 +14,7 @@ ROOT = Path(__file__).resolve().parents[1]
|
||||
SKILL = ROOT / "skills" / "remove-ai-watermarks" / "SKILL.md"
|
||||
PLUGIN = ROOT / "skills" / ".claude-plugin" / "plugin.json"
|
||||
MARKETPLACE = ROOT / ".claude-plugin" / "marketplace.json"
|
||||
CODEX_PLUGIN = ROOT / ".codex-plugin" / "plugin.json"
|
||||
AGENT_DOC = ROOT / "docs" / "agent-skill.md"
|
||||
INSTALL_DOC = ROOT / "docs" / "installation.md"
|
||||
INSTALL_REFERENCE = ROOT / "skills" / "remove-ai-watermarks" / "references" / "install.md"
|
||||
@@ -346,7 +347,7 @@ def test_missing_pixel_stack_names_the_extra_instead_of_a_traceback(
|
||||
source = tmp_path / "image.png"
|
||||
source.write_bytes((ROOT / "data" / "fixtures" / "provenance" / "chatgpt-1.png").read_bytes())
|
||||
clip = tmp_path / "clip.mp4"
|
||||
clip.write_bytes(b"\x00\x00\x00\x18ftypmp42")
|
||||
clip.write_bytes(b"\x00\x00\x00\x10ftypmp42\x00\x00\x00\x00") # one whole box, so the input reads
|
||||
substitutions = {
|
||||
"SOURCE": str(source),
|
||||
"CLIP": str(clip),
|
||||
@@ -541,15 +542,16 @@ def test_probe_minimum_version_is_a_release_that_exists() -> None:
|
||||
assert current >= probe.MIN_CLI_VERSION, "the probe demands a version the project has not released"
|
||||
|
||||
|
||||
def test_skill_version_agrees_across_all_three_manifests() -> None:
|
||||
"""Three files carry this version, and a catalog reads a different one from each."""
|
||||
def test_skill_version_agrees_across_every_manifest() -> None:
|
||||
"""Four files carry this version, and a catalog reads a different one from each."""
|
||||
frontmatter = _frontmatter(SKILL.read_text(encoding="utf-8"))
|
||||
match = re.search(r'(?m)^\s+version:\s*"?([0-9][^"\n]*?)"?\s*$', frontmatter)
|
||||
assert match is not None, "SKILL.md frontmatter no longer carries metadata.version"
|
||||
plugin = json.loads(PLUGIN.read_text(encoding="utf-8"))
|
||||
marketplace = json.loads(MARKETPLACE.read_text(encoding="utf-8"))
|
||||
codex = json.loads(CODEX_PLUGIN.read_text(encoding="utf-8"))
|
||||
|
||||
assert match.group(1) == plugin["version"] == marketplace["metadata"]["version"]
|
||||
assert match.group(1) == plugin["version"] == marketplace["metadata"]["version"] == codex["version"]
|
||||
|
||||
|
||||
def test_a_bad_invocation_shares_the_no_signal_exit_code(tmp_path: Path) -> None:
|
||||
|
||||
+34
-11
@@ -867,7 +867,7 @@ class TestBatchCommand:
|
||||
empty_dir = tmp_path / "empty"
|
||||
empty_dir.mkdir()
|
||||
result = runner.invoke(main, ["batch", str(empty_dir)])
|
||||
assert result.exit_code == 0
|
||||
assert result.exit_code == 2 # nothing processed is the no-signal code (2026-10-18)
|
||||
assert "No supported images" in result.output
|
||||
|
||||
def test_batch_visible_mode(self, runner, tmp_path):
|
||||
@@ -1309,10 +1309,10 @@ def test_visible_backend_runtime_error_exits_cleanly(runner, tmp_path, monkeypat
|
||||
@pytest.mark.parametrize("cmd", [["metadata", "--remove"], ["visible", "--backend", "cv2"]])
|
||||
def test_unreadable_input_exits_cleanly(runner, tmp_path, name, content, cmd):
|
||||
"""Regression: a corrupt / empty / non-image file (real prod uploads include ~0.2%
|
||||
truncated files) must NEVER leak a raw PIL/OSError/ValueError traceback. `metadata
|
||||
--remove` is fail-safe -- an undecodable file is copied through unchanged (exit 0),
|
||||
a strip that cannot parse the file is a no-op, not a crash; `visible` must decode to
|
||||
remove a mark, so it is a clean error (exit 1). Found by the runtime mode fuzz."""
|
||||
truncated files) must NEVER leak a raw PIL/OSError/ValueError traceback, and both
|
||||
commands fail with a clean exit 1. `metadata --remove` used to copy the bytes
|
||||
through and exit 0, which read as a completed strip; since 2026-10-18 it writes
|
||||
nothing (`tests/test_fail_closed.py`). Found by the runtime mode fuzz."""
|
||||
bad = tmp_path / name
|
||||
bad.write_bytes(content)
|
||||
out = tmp_path / "out.png"
|
||||
@@ -1320,9 +1320,32 @@ def test_unreadable_input_exits_cleanly(runner, tmp_path, name, content, cmd):
|
||||
assert result.exception is None or isinstance(result.exception, SystemExit), (
|
||||
f"leaked a raw traceback: {result.exception!r}"
|
||||
)
|
||||
if cmd[0] == "metadata":
|
||||
assert result.exit_code == 0, result.output # fail-safe copy-through
|
||||
assert out.read_bytes() == content # input passed through unchanged
|
||||
else:
|
||||
assert result.exit_code == 1, result.output # cannot remove a mark from unreadable input
|
||||
assert "Error" in result.output
|
||||
assert result.exit_code == 1, result.output
|
||||
assert "Error" in result.output
|
||||
assert not out.exists()
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("name", "content"),
|
||||
[
|
||||
("empty.png", b""),
|
||||
("notimage.jpg", b"plain text, not an image at all " * 20),
|
||||
("truncated.png", b"\x89PNG\r\n\x1a\n" + b"\x00" * 40),
|
||||
],
|
||||
)
|
||||
@pytest.mark.parametrize("force", [[], ["--force"]])
|
||||
def test_invisible_rejects_unreadable_input_instead_of_reporting_no_signal(runner, tmp_path, name, content, force):
|
||||
"""The scrub gate reads undecodable bytes as "no target", so without a decode
|
||||
check `invisible` exited 2 -- the no-signal code -- on a file it never read,
|
||||
while `all` and `batch` exited 1."""
|
||||
bad = tmp_path / name
|
||||
bad.write_bytes(content)
|
||||
mock_cls, mock_engine = _mock_invisible_engine()
|
||||
with (
|
||||
patch("remove_ai_watermarks.invisible_engine.InvisibleEngine", mock_cls),
|
||||
patch("remove_ai_watermarks.invisible_engine.is_available", return_value=True),
|
||||
):
|
||||
result = runner.invoke(main, ["invisible", str(bad), "-o", str(tmp_path / "out.png"), *force])
|
||||
assert result.exit_code == 1, result.output
|
||||
assert "Failed to read image" in result.output
|
||||
mock_engine.remove_watermark.assert_not_called()
|
||||
@@ -0,0 +1,75 @@
|
||||
"""The Codex plugin manifest, held to the checks a Codex plugin catalog runs on it."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import re
|
||||
import subprocess
|
||||
from pathlib import Path
|
||||
|
||||
ROOT = Path(__file__).resolve().parents[1]
|
||||
MANIFEST = ROOT / ".codex-plugin" / "plugin.json"
|
||||
CLAUDE_PLUGIN = ROOT / "skills" / ".claude-plugin" / "plugin.json"
|
||||
|
||||
|
||||
def _manifest() -> dict:
|
||||
return json.loads(MANIFEST.read_text(encoding="utf-8"))
|
||||
|
||||
|
||||
def test_manifest_carries_every_field_the_catalog_validator_requires() -> None:
|
||||
manifest = _manifest()
|
||||
for field in ("name", "version", "description", "repository", "license"):
|
||||
assert str(manifest.get(field, "")).strip(), field
|
||||
interface = manifest["interface"]
|
||||
for field in ("displayName", "shortDescription", "composerIcon"):
|
||||
assert str(interface.get(field, "")).strip(), field
|
||||
assert re.fullmatch(r"[a-z0-9]+(?:-[a-z0-9]+)*", manifest["name"])
|
||||
assert re.fullmatch(r"\d+\.\d+\.\d+", manifest["version"])
|
||||
assert re.fullmatch(r"#[0-9A-Fa-f]{6}", interface["brandColor"])
|
||||
|
||||
|
||||
def test_manifest_describes_the_same_plugin_as_the_claude_manifest() -> None:
|
||||
manifest = _manifest()
|
||||
claude = json.loads(CLAUDE_PLUGIN.read_text(encoding="utf-8"))
|
||||
for field in ("name", "version", "description", "repository", "license", "homepage"):
|
||||
assert manifest[field] == claude[field], field
|
||||
|
||||
|
||||
def test_every_declared_path_stays_inside_the_repository() -> None:
|
||||
manifest = _manifest()
|
||||
interface = manifest["interface"]
|
||||
paths = [manifest["skills"], interface["composerIcon"], interface["logo"]]
|
||||
for declared in paths:
|
||||
assert declared.startswith("./"), declared
|
||||
resolved = (ROOT / declared).resolve()
|
||||
assert resolved.is_relative_to(ROOT), declared
|
||||
assert resolved.exists(), declared
|
||||
assert (ROOT / manifest["skills"] / "remove-ai-watermarks" / "SKILL.md").is_file()
|
||||
|
||||
|
||||
def test_icon_is_a_small_self_contained_svg() -> None:
|
||||
icon = ROOT / _manifest()["interface"]["composerIcon"]
|
||||
content = icon.read_text(encoding="utf-8")
|
||||
assert icon.suffix == ".svg"
|
||||
assert icon.stat().st_size <= 50 * 1024
|
||||
for forbidden in ("data:image/", "base64", "TODO", "PLACEHOLDER"):
|
||||
assert forbidden not in content, forbidden
|
||||
|
||||
|
||||
def test_no_tracked_code_matches_the_scanner_dynamic_execution_rule() -> None:
|
||||
"""The catalog's scanner reports a high finding for any call spelled like
|
||||
Python's built-in evaluator in its code files, and that rule cannot tell it from
|
||||
the PyTorch module method of the same name. Its scan job is advisory, but the
|
||||
finding still lands on the listing PR, so the code switches modules to inference
|
||||
with the equivalent ``module.train(False)``."""
|
||||
tracked = subprocess.run(
|
||||
["git", "ls-files", "*.py", "*.js", "*.mjs", "*.cjs", "*.ts", "*.tsx", "*.jsx"], # noqa: S607
|
||||
cwd=ROOT,
|
||||
check=True,
|
||||
capture_output=True,
|
||||
text=True,
|
||||
).stdout.split()
|
||||
assert tracked
|
||||
rule = re.compile(r"\beval\s*\(")
|
||||
offenders = [name for name in tracked if rule.search((ROOT / name).read_text(encoding="utf-8", errors="ignore"))]
|
||||
assert offenders == []
|
||||
@@ -0,0 +1,311 @@
|
||||
"""Every command fails closed: an unreadable input or a skipped step never exits 0.
|
||||
|
||||
Found 2026-10-18 by a sweep that ran each command over random bytes, an empty file
|
||||
and a truncated copy of a tracked fixture. The pixel commands already refused all
|
||||
three. The metadata-only paths did not: they scan raw bytes, a scan of bytes that
|
||||
are not an image finds nothing, and "nothing" printed as "No AI metadata found"
|
||||
with exit 0, the same answer a real file without metadata gets. `metadata
|
||||
--remove` then copied the garbage through and reported "AI metadata stripped".
|
||||
A truncated MP4 without its `moov` box got the same treatment from the video
|
||||
metadata commands. The rule pinned here: the exit code of a scan that could not
|
||||
read its input is never the exit code of a scan that read it and found nothing.
|
||||
|
||||
Absent OPTIONAL detectors are not in this set. `identify` on the default install,
|
||||
which has no pixel stack, still answers with exit 0 and a caveat naming what did
|
||||
not run (decided 2026-10-18); see `test_optional_deps.py`.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import shutil
|
||||
from pathlib import Path
|
||||
|
||||
import numpy as np
|
||||
import pytest
|
||||
from click.testing import CliRunner
|
||||
|
||||
from remove_ai_watermarks import image_io, metadata
|
||||
from remove_ai_watermarks._internal.constants import SUPPORTED_FORMATS
|
||||
from remove_ai_watermarks.cli import main
|
||||
from remove_ai_watermarks.video import VIDEO_EXTENSIONS
|
||||
|
||||
ROOT = Path(__file__).resolve().parents[1]
|
||||
C2PA_PNG = ROOT / "data/fixtures/provenance/ideogram-c2pa.png"
|
||||
MP4 = ROOT / "data/fixtures/provenance/runway-gen45-video.mp4"
|
||||
|
||||
|
||||
def _unreadable_images(tmp_path: Path) -> dict[str, Path]:
|
||||
rng = np.random.default_rng(0)
|
||||
garbage = tmp_path / "garbage.png"
|
||||
garbage.write_bytes(rng.integers(0, 256, 4000, dtype=np.uint8).tobytes())
|
||||
empty = tmp_path / "empty.png"
|
||||
empty.write_bytes(b"")
|
||||
truncated = tmp_path / "truncated.png"
|
||||
truncated.write_bytes(C2PA_PNG.read_bytes()[:300])
|
||||
return {"garbage": garbage, "empty": empty, "truncated": truncated}
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def clean_png(tmp_path: Path) -> Path:
|
||||
path = tmp_path / "clean.png"
|
||||
gradient = np.tile(np.linspace(0, 255, 64, dtype=np.uint8), (64, 1))
|
||||
assert image_io.imwrite(path, np.dstack([gradient, gradient.T, gradient]))
|
||||
return path
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def truncated_mp4(tmp_path: Path) -> Path:
|
||||
"""The ftyp box survives, so the suffix sniff passes; the box walk does not."""
|
||||
path = tmp_path / "truncated.mp4"
|
||||
path.write_bytes(MP4.read_bytes()[:3000])
|
||||
return path
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def cuda_refused(monkeypatch):
|
||||
"""The invisible engine is installed but cannot start, as on a host without CUDA."""
|
||||
import remove_ai_watermarks.invisible_engine as invisible_engine
|
||||
|
||||
def refuse(*_args, **_kwargs):
|
||||
raise ValueError("Invisible-watermark removal is CUDA-only")
|
||||
|
||||
monkeypatch.setattr(invisible_engine, "is_available", lambda: True)
|
||||
monkeypatch.setattr(invisible_engine, "InvisibleEngine", refuse)
|
||||
|
||||
|
||||
def _invoke(args: list[str]):
|
||||
return CliRunner().invoke(main, args)
|
||||
|
||||
|
||||
class TestUnreadableImageInputs:
|
||||
@pytest.mark.parametrize("kind", ["garbage", "empty", "truncated"])
|
||||
@pytest.mark.parametrize("flags", [[], ["--no-visible"], ["--json"]])
|
||||
def test_identify_exits_nonzero(self, tmp_path, kind, flags):
|
||||
result = _invoke(["identify", *flags, str(_unreadable_images(tmp_path)[kind])])
|
||||
assert result.exit_code == 1, result.output
|
||||
assert isinstance(result.exception, SystemExit)
|
||||
|
||||
def test_identify_keeps_exit_zero_on_a_readable_file(self, clean_png):
|
||||
result = _invoke(["identify", str(clean_png)])
|
||||
assert result.exit_code == 0, result.output
|
||||
|
||||
@pytest.mark.parametrize("kind", ["garbage", "empty", "truncated"])
|
||||
def test_metadata_check_does_not_report_no_metadata(self, tmp_path, kind):
|
||||
result = _invoke(["metadata", "--check", str(_unreadable_images(tmp_path)[kind])])
|
||||
assert result.exit_code == 1, result.output
|
||||
assert "No AI metadata found" not in result.output
|
||||
assert "Nothing was scanned" in result.output, "the probe runs before any scan"
|
||||
|
||||
@pytest.mark.parametrize("kind", ["garbage", "empty", "truncated"])
|
||||
def test_metadata_remove_writes_nothing_and_exits_nonzero(self, tmp_path, kind):
|
||||
out = tmp_path / "out.png"
|
||||
result = _invoke(["metadata", "--remove", str(_unreadable_images(tmp_path)[kind]), "-o", str(out)])
|
||||
assert result.exit_code == 1, result.output
|
||||
assert "stripped" not in result.output
|
||||
assert not out.exists()
|
||||
|
||||
def test_metadata_remove_keeps_working_on_a_readable_file(self, clean_png, tmp_path):
|
||||
result = _invoke(["metadata", "--remove", str(clean_png), "-o", str(tmp_path / "out.png")])
|
||||
assert result.exit_code == 0, result.output
|
||||
|
||||
def test_batch_metadata_counts_an_unreadable_file_as_failed(self, tmp_path, clean_png):
|
||||
indir = tmp_path / "in"
|
||||
indir.mkdir()
|
||||
shutil.copy(clean_png, indir / "clean.png")
|
||||
shutil.copy(_unreadable_images(tmp_path)["garbage"], indir / "garbage.png")
|
||||
result = _invoke(["batch", str(indir), "--mode", "metadata", "-o", str(tmp_path / "out")])
|
||||
assert result.exit_code == 1, result.output
|
||||
assert "1 processed" in result.output
|
||||
assert "1 errors" in result.output
|
||||
|
||||
|
||||
class TestTruncatedVideo:
|
||||
@pytest.mark.parametrize(
|
||||
"args",
|
||||
[
|
||||
["video", "identify", "--no-visible"],
|
||||
["video", "metadata", "--check"],
|
||||
["video", "metadata", "--remove"],
|
||||
["metadata", "--check"],
|
||||
],
|
||||
)
|
||||
def test_metadata_paths_exit_nonzero(self, truncated_mp4, args):
|
||||
result = _invoke([*args, str(truncated_mp4)])
|
||||
assert result.exit_code == 1, result.output
|
||||
assert "No AI metadata found" not in result.output
|
||||
assert "stripped" not in result.output
|
||||
|
||||
def test_video_batch_metadata_counts_it_as_failed(self, tmp_path, truncated_mp4):
|
||||
indir = tmp_path / "in"
|
||||
indir.mkdir()
|
||||
shutil.copy(truncated_mp4, indir / "truncated.mp4")
|
||||
result = _invoke(["video", "batch", str(indir), "--mode", "metadata", "-o", str(tmp_path / "out")])
|
||||
assert result.exit_code == 1, result.output
|
||||
assert "0 processed, 1 failed" in result.output
|
||||
|
||||
|
||||
class TestReadabilityProbe:
|
||||
"""The probe must pass every tracked fixture, or the fix trades one lie for another."""
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"path",
|
||||
sorted(p for p in (ROOT / "data/fixtures").rglob("*") if p.is_file() and p.suffix.lower() != ".md"),
|
||||
ids=lambda p: str(p.relative_to(ROOT / "data/fixtures")),
|
||||
)
|
||||
def test_every_tracked_fixture_is_readable(self, path):
|
||||
if path.suffix.lower() not in SUPPORTED_FORMATS | VIDEO_EXTENSIONS:
|
||||
pytest.skip("not a container the metadata commands accept")
|
||||
assert metadata.unreadable_reason(path) is None
|
||||
|
||||
def test_unreadable_inputs_name_a_reason(self, tmp_path, truncated_mp4):
|
||||
for path in [*_unreadable_images(tmp_path).values(), truncated_mp4]:
|
||||
assert metadata.unreadable_reason(path), path
|
||||
|
||||
def test_a_png_cut_inside_its_pixel_data_is_unreadable(self, tmp_path):
|
||||
"""The header parses, so only a full decode sees the missing IDAT bytes."""
|
||||
path = tmp_path / "cut.png"
|
||||
data = (ROOT / "data/fixtures/provenance/chatgpt-1.png").read_bytes()
|
||||
path.write_bytes(data[: len(data) * 3 // 5])
|
||||
assert metadata.unreadable_reason(path)
|
||||
|
||||
def test_a_trailing_partial_box_is_unreadable(self, tmp_path):
|
||||
"""Cut inside the LAST box, so ftyp and moov both survive and only the walk sees it."""
|
||||
data = MP4.read_bytes()
|
||||
path = tmp_path / "cut.mp4"
|
||||
path.write_bytes(data[:-100])
|
||||
assert metadata.unreadable_reason(path)
|
||||
|
||||
def test_a_truncated_ebml_segment_is_unreadable(self, tmp_path):
|
||||
"""A Segment that declares more bytes than the file holds, as a cut WebM does."""
|
||||
path = tmp_path / "x.webm"
|
||||
ebml_header = b"\x1a\x45\xdf\xa3\x80" # empty EBML header element
|
||||
segment = b"\x18\x53\x80\x67\x88" + bytes(4) # declares 8 payload bytes, holds 4
|
||||
path.write_bytes(ebml_header + segment)
|
||||
assert metadata.unreadable_reason(path)
|
||||
path.write_bytes(ebml_header + segment + bytes(4))
|
||||
assert metadata.unreadable_reason(path) is None
|
||||
|
||||
def test_a_truncated_riff_is_unreadable(self, tmp_path):
|
||||
path = tmp_path / "x.wav"
|
||||
path.write_bytes(b"RIFF" + (100).to_bytes(4, "little") + b"WAVE" + bytes(20))
|
||||
assert metadata.unreadable_reason(path)
|
||||
path.write_bytes(b"RIFF" + (100).to_bytes(4, "little") + b"WAVE" + bytes(96))
|
||||
assert metadata.unreadable_reason(path) is None
|
||||
|
||||
|
||||
class TestSkippedStepsAreFailures:
|
||||
@pytest.mark.parametrize(
|
||||
"args",
|
||||
[
|
||||
["visible", "--mark", "doubao", "--no-detect"],
|
||||
["erase", "--region", "2,2,10,10"],
|
||||
],
|
||||
)
|
||||
def test_a_metadata_strip_that_left_markers_is_not_success(self, tmp_path, clean_png, monkeypatch, args):
|
||||
"""Both commands used to swallow the strip and report only under --verbose."""
|
||||
monkeypatch.setattr(metadata, "get_ai_metadata", lambda _path: {"c2pa": "survived"})
|
||||
out = tmp_path / "out.png"
|
||||
result = _invoke([*args, str(clean_png), "-o", str(out)])
|
||||
assert result.exit_code == 1, result.output
|
||||
assert "survived" in result.output
|
||||
assert not out.exists(), "an output that kept its AI metadata was published"
|
||||
|
||||
@pytest.mark.skipif(os.name == "nt", reason="POSIX permission bits")
|
||||
def test_a_staged_output_keeps_the_default_permissions(self, tmp_path, clean_png):
|
||||
"""The staged sibling is not pre-created, so it is not mkstemp's 0600."""
|
||||
out = tmp_path / "out.png"
|
||||
reference = tmp_path / "reference"
|
||||
reference.write_bytes(b"")
|
||||
result = _invoke(["erase", "--region", "2,2,10,10", str(clean_png), "-o", str(out)])
|
||||
assert result.exit_code == 0, result.output
|
||||
assert out.stat().st_mode & 0o777 == reference.stat().st_mode & 0o777
|
||||
|
||||
def test_the_library_visible_strip_is_verified(self, tmp_path, clean_png, monkeypatch):
|
||||
from remove_ai_watermarks.api import MetadataStripIncomplete, remove_visible
|
||||
|
||||
monkeypatch.setattr(metadata, "get_ai_metadata", lambda _path: {"c2pa": "survived"})
|
||||
with pytest.raises(MetadataStripIncomplete):
|
||||
remove_visible(clean_png, tmp_path / "out.png")
|
||||
assert list(tmp_path.iterdir()) == [clean_png], "the staged output leaked"
|
||||
|
||||
def test_the_invisible_output_strip_is_verified(self, tmp_path, monkeypatch):
|
||||
"""The diffusion writer used to strip without re-scanning what it wrote."""
|
||||
from PIL import Image
|
||||
|
||||
from remove_ai_watermarks._internal.watermark_remover import WatermarkRemover
|
||||
|
||||
monkeypatch.setattr(metadata, "get_ai_metadata", lambda _path: {"c2pa": "survived"})
|
||||
remover = object.__new__(WatermarkRemover) # the writer needs no model state
|
||||
with pytest.raises(RuntimeError, match="survived"):
|
||||
remover._write_output(Image.new("RGB", (16, 16)), tmp_path / "out.png")
|
||||
|
||||
def test_metadata_remove_reports_a_missing_ffmpeg_without_a_traceback(self, tmp_path, monkeypatch):
|
||||
monkeypatch.setattr(shutil, "which", lambda _name: None)
|
||||
source = tmp_path / "x.webm"
|
||||
source.write_bytes(b"\x1a\x45\xdf\xa3\x80") # an empty EBML header tiles the file
|
||||
result = _invoke(["metadata", "--remove", str(source), "-o", str(tmp_path / "out.webm")])
|
||||
assert result.exit_code == 1, result.output
|
||||
assert isinstance(result.exception, SystemExit), result.exception
|
||||
assert "ffmpeg" in result.output
|
||||
|
||||
@pytest.mark.usefixtures("cuda_refused")
|
||||
def test_invisible_reports_an_engine_that_cannot_start(self, clean_png):
|
||||
result = _invoke(["invisible", "--force", str(clean_png)])
|
||||
assert result.exit_code == 1, result.output
|
||||
assert isinstance(result.exception, SystemExit), result.exception
|
||||
assert "CUDA-only" in result.output
|
||||
|
||||
@pytest.mark.usefixtures("cuda_refused")
|
||||
def test_batch_reports_an_engine_that_cannot_start(self, tmp_path, clean_png):
|
||||
indir = tmp_path / "in"
|
||||
indir.mkdir()
|
||||
shutil.copy(clean_png, indir / "clean.png")
|
||||
result = _invoke(["batch", str(indir), "--mode", "invisible", "-o", str(tmp_path / "out")])
|
||||
assert result.exit_code == 1, result.output
|
||||
assert isinstance(result.exception, SystemExit), result.exception
|
||||
assert "CUDA-only" in result.output
|
||||
|
||||
|
||||
class TestEmptyBatch:
|
||||
"""Nothing processed is the no-signal code, not success (decided 2026-10-18)."""
|
||||
|
||||
def test_image_batch(self, tmp_path):
|
||||
indir = tmp_path / "in"
|
||||
indir.mkdir()
|
||||
(indir / "notes.txt").write_text("not an image")
|
||||
result = _invoke(["batch", str(indir), "-o", str(tmp_path / "out")])
|
||||
assert result.exit_code == 2, result.output
|
||||
assert not (tmp_path / "out").exists()
|
||||
|
||||
def test_video_batch(self, tmp_path):
|
||||
indir = tmp_path / "in"
|
||||
indir.mkdir()
|
||||
result = _invoke(["video", "batch", str(indir), "--mode", "metadata", "-o", str(tmp_path / "out")])
|
||||
assert result.exit_code == 2, result.output
|
||||
assert not (tmp_path / "out").exists()
|
||||
|
||||
|
||||
def test_mcp_reports_a_child_that_could_not_start():
|
||||
from remove_ai_watermarks import mcp_server
|
||||
|
||||
def broken(_args):
|
||||
raise OSError("exec format error")
|
||||
|
||||
result = mcp_server.call_tool("identify", {"path": "x.png"}, runner=broken)
|
||||
assert result["isError"] is True
|
||||
assert "exec format error" in result["content"][0]["text"]
|
||||
|
||||
|
||||
def test_mcp_does_not_call_an_empty_batch_a_scanned_file():
|
||||
"""An empty batch directory exits 2 like no-signal, but nothing was read."""
|
||||
import subprocess
|
||||
|
||||
from remove_ai_watermarks import mcp_server
|
||||
|
||||
def empty_batch(args):
|
||||
return subprocess.CompletedProcess(args, 2, stdout="No supported images found", stderr="")
|
||||
|
||||
result = mcp_server.call_tool("batch", {"directory": "in"}, runner=empty_batch)
|
||||
assert result["isError"] is False
|
||||
assert "nothing to process" in result["content"][0]["text"]
|
||||
@@ -4,6 +4,8 @@ from __future__ import annotations
|
||||
|
||||
from types import SimpleNamespace
|
||||
|
||||
import numpy as np
|
||||
import pytest
|
||||
from PIL import Image
|
||||
|
||||
from remove_ai_watermarks.invisible_engine import (
|
||||
@@ -164,6 +166,126 @@ class TestNativeOutputSize:
|
||||
assert Image.open(out).size == (24, 18)
|
||||
|
||||
|
||||
class TestTransparency:
|
||||
"""Exercise real image IO and postprocessing around an RGB-only model stand-in."""
|
||||
|
||||
@staticmethod
|
||||
def _engine():
|
||||
engine = object.__new__(InvisibleEngine)
|
||||
engine._progress_callback = None
|
||||
|
||||
def remove_watermark(image_path, output_path, **_kwargs):
|
||||
with Image.open(image_path) as image:
|
||||
assert image.mode == "RGB"
|
||||
width, height = image.size
|
||||
# Model-side grid rounding and changed pixels, not a copy of the input.
|
||||
Image.new("RGB", (width // 8 * 8, height // 8 * 8), (40, 120, 200)).save(output_path)
|
||||
return output_path
|
||||
|
||||
engine._remover = SimpleNamespace(configured_profile="qwen-zimage", remove_watermark=remove_watermark)
|
||||
return engine
|
||||
|
||||
@staticmethod
|
||||
def _source(mode, size):
|
||||
image = Image.new("RGB", size, (180, 90, 30))
|
||||
alpha = np.resize(np.array([0, 64, 128, 255], dtype=np.uint8), (size[1], size[0]))
|
||||
if mode == "P":
|
||||
image = Image.fromarray(alpha).convert("P")
|
||||
image.info["transparency"] = bytes(range(256))
|
||||
elif mode == "RGB-key":
|
||||
image.paste((0, 0, 0), (0, 0, size[0] // 2, size[1]))
|
||||
image.info["transparency"] = (0, 0, 0)
|
||||
else:
|
||||
image = image.convert(mode)
|
||||
image.putalpha(Image.fromarray(alpha))
|
||||
return image
|
||||
|
||||
@pytest.mark.parametrize("mode", ["RGBA", "LA", "P", "RGB-key"])
|
||||
@pytest.mark.parametrize(("size", "max_resolution"), [((32, 24), 0), ((35, 27), 0), ((32, 24), 16)])
|
||||
def test_preserves_exact_alpha_after_model_and_size_restoration(self, tmp_path, mode, size, max_resolution):
|
||||
source, output = tmp_path / "source.png", tmp_path / "output.png"
|
||||
self._source(mode, size).save(source)
|
||||
with Image.open(source) as image:
|
||||
expected = np.asarray(image.convert("RGBA"))[:, :, 3].copy()
|
||||
|
||||
self._engine().remove_watermark(source, output, max_resolution=max_resolution, adaptive_polish=False)
|
||||
|
||||
with Image.open(output) as image:
|
||||
assert image.mode == "RGBA"
|
||||
assert image.size == size
|
||||
actual = np.asarray(image)
|
||||
np.testing.assert_array_equal(actual[:, :, 3], expected)
|
||||
# Retain the model's RGB result rather than restoring the source image.
|
||||
np.testing.assert_array_equal(actual[:, :, :3], np.broadcast_to([40, 120, 200], actual[:, :, :3].shape))
|
||||
|
||||
@pytest.mark.parametrize("orientation", [2, 6, 7])
|
||||
def test_in_place_output_keeps_alpha_in_display_orientation(self, tmp_path, orientation):
|
||||
from PIL import ImageOps
|
||||
|
||||
source = tmp_path / "source.png"
|
||||
image = self._source("RGBA", (32, 24))
|
||||
image.getexif()[274] = orientation
|
||||
image.save(source)
|
||||
with Image.open(source) as opened:
|
||||
expected = np.asarray(ImageOps.exif_transpose(opened).getchannel("A")).copy()
|
||||
|
||||
self._engine().remove_watermark(source, adaptive_polish=False)
|
||||
|
||||
with Image.open(source) as result:
|
||||
assert result.mode == "RGBA"
|
||||
assert result.getexif().get(274, 1) == 1
|
||||
np.testing.assert_array_equal(np.asarray(result.getchannel("A")), expected)
|
||||
|
||||
def test_webp_keeps_alpha_after_postprocessing(self, tmp_path):
|
||||
source, output = tmp_path / "source.png", tmp_path / "output.webp"
|
||||
image = self._source("RGBA", (32, 24))
|
||||
image.save(source)
|
||||
|
||||
self._engine().remove_watermark(source, output, unsharp=0.5, adaptive_polish=True, humanize=1.0)
|
||||
|
||||
with Image.open(output) as result:
|
||||
assert result.mode == "RGBA"
|
||||
np.testing.assert_array_equal(np.asarray(result.getchannel("A")), np.asarray(image.getchannel("A")))
|
||||
|
||||
@pytest.mark.parametrize(("source_mode", "output_suffix"), [("RGB", ".png"), ("RGBA", ".jpg")])
|
||||
def test_rgb_and_non_alpha_output_remain_rgb(self, tmp_path, source_mode, output_suffix):
|
||||
source, output = tmp_path / "source.png", tmp_path / ("output" + output_suffix)
|
||||
Image.new(source_mode, (32, 24)).save(source)
|
||||
|
||||
self._engine().remove_watermark(source, output, adaptive_polish=False)
|
||||
|
||||
with Image.open(output) as result:
|
||||
assert result.mode == "RGB"
|
||||
|
||||
@pytest.mark.parametrize("command", ["invisible", "batch"])
|
||||
def test_cli_preserves_alpha_through_the_real_engine(self, tmp_path, monkeypatch, command):
|
||||
from click.testing import CliRunner
|
||||
|
||||
from remove_ai_watermarks import invisible_engine
|
||||
from remove_ai_watermarks.cli import main
|
||||
|
||||
source = tmp_path / "source.png"
|
||||
image = self._source("RGBA", (32, 24))
|
||||
image.save(source)
|
||||
engine = self._engine()
|
||||
monkeypatch.setattr(invisible_engine, "InvisibleEngine", lambda **_kwargs: engine)
|
||||
monkeypatch.setattr(invisible_engine, "is_available", lambda: True)
|
||||
if command == "batch":
|
||||
output_dir = tmp_path / "results"
|
||||
args = ["batch", str(tmp_path), "--mode", "invisible", "-o", str(output_dir), "--force"]
|
||||
output = output_dir / "source.png"
|
||||
else:
|
||||
output = tmp_path / "output.png"
|
||||
args = ["invisible", str(source), "-o", str(output), "--force"]
|
||||
|
||||
result = CliRunner().invoke(main, args)
|
||||
|
||||
assert result.exit_code == 0, result.output
|
||||
with Image.open(output) as processed:
|
||||
assert processed.mode == "RGBA"
|
||||
np.testing.assert_array_equal(np.asarray(processed.getchannel("A")), np.asarray(image.getchannel("A")))
|
||||
|
||||
|
||||
class TestTargetSize:
|
||||
"""Regression guard for the native-resolution decision (issues #10 / #15).
|
||||
|
||||
|
||||
@@ -0,0 +1,272 @@
|
||||
"""`remove-ai-watermarks mcp`: the protocol layer, the CLI mapping, and real clients."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import io
|
||||
import json
|
||||
import re
|
||||
import subprocess
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
from remove_ai_watermarks import mcp_server
|
||||
from remove_ai_watermarks.metadata import KLING_SEI_TAG
|
||||
|
||||
ROOT = Path(__file__).resolve().parents[1]
|
||||
KLING_MP4 = ROOT / "data/fixtures/provenance/higgsfield-kling-3-0-turbo.mp4"
|
||||
SERVER = [sys.executable, "-m", "remove_ai_watermarks.cli", "mcp"]
|
||||
|
||||
|
||||
class _Recorder:
|
||||
"""Stands in for the CLI child process and records each argument list."""
|
||||
|
||||
def __init__(self, returncode: int = 0, stdout: str = "", stderr: str = "") -> None:
|
||||
self.calls: list[list[str]] = []
|
||||
self._result = (returncode, stdout, stderr)
|
||||
|
||||
def __call__(self, args: list[str]) -> subprocess.CompletedProcess[str]:
|
||||
self.calls.append(args)
|
||||
returncode, stdout, stderr = self._result
|
||||
return subprocess.CompletedProcess(args, returncode, stdout, stderr)
|
||||
|
||||
|
||||
def _request(method: str, params: dict | None = None, request_id: int = 1) -> dict:
|
||||
message: dict = {"jsonrpc": "2.0", "id": request_id, "method": method}
|
||||
if params is not None:
|
||||
message["params"] = params
|
||||
return message
|
||||
|
||||
|
||||
def _assert_the_cli_accepts(args: list[str]) -> None:
|
||||
"""Every subcommand and flag a tool builds must exist in the real Click tree."""
|
||||
import click
|
||||
|
||||
from remove_ai_watermarks.cli import main
|
||||
|
||||
command: click.Command = main
|
||||
position = 0
|
||||
while isinstance(command, click.Group):
|
||||
command = command.commands[args[position]]
|
||||
position += 1
|
||||
options = {option for param in command.params for option in (*param.opts, *param.secondary_opts)}
|
||||
flags = [arg for arg in args[position : args.index("--")] if arg.startswith("-")]
|
||||
assert set(flags) <= options, (args, sorted(set(flags) - options))
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("requested", "negotiated"),
|
||||
[("2025-06-18", "2025-06-18"), ("2024-11-05", "2024-11-05"), ("2099-01-01", mcp_server.PROTOCOL_VERSIONS[0])],
|
||||
)
|
||||
def test_initialize_negotiates_a_supported_protocol_version(requested: str, negotiated: str) -> None:
|
||||
response = mcp_server.handle(_request("initialize", {"protocolVersion": requested, "capabilities": {}}))
|
||||
|
||||
assert response is not None
|
||||
assert response["result"]["protocolVersion"] == negotiated
|
||||
assert response["result"]["capabilities"] == {"tools": {"listChanged": False}}
|
||||
assert "third-party" in response["result"]["instructions"]
|
||||
|
||||
|
||||
def test_notifications_get_no_reply_and_unknown_methods_get_method_not_found() -> None:
|
||||
assert mcp_server.handle({"jsonrpc": "2.0", "method": "notifications/initialized"}) is None
|
||||
# A modern client probes server/discover first and falls back to initialize on this error.
|
||||
response = mcp_server.handle(_request("server/discover"))
|
||||
assert response is not None
|
||||
assert response["error"]["code"] == -32601
|
||||
|
||||
|
||||
def test_tools_list_exposes_exactly_the_three_tools() -> None:
|
||||
response = mcp_server.handle(_request("tools/list"))
|
||||
|
||||
assert response is not None
|
||||
tools = response["result"]["tools"]
|
||||
assert [tool["name"] for tool in tools] == ["identify", "remove", "batch"]
|
||||
assert tools[0]["annotations"]["readOnlyHint"] is True
|
||||
for tool in tools:
|
||||
assert tool["inputSchema"]["type"] == "object"
|
||||
assert tool["inputSchema"]["additionalProperties"] is False
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("arguments", "expected"),
|
||||
[
|
||||
({"path": "a.png"}, ["identify", "--json", "--", "a.png"]),
|
||||
({"path": "a.png", "check_visible": False}, ["identify", "--json", "--no-visible", "--", "a.png"]),
|
||||
({"path": "clip.MP4"}, ["video", "identify", "--json", "--", "clip.MP4"]),
|
||||
],
|
||||
)
|
||||
def test_identify_maps_to_the_cli(arguments: dict, expected: list[str]) -> None:
|
||||
runner = _Recorder(stdout='{"is_ai_generated": true}')
|
||||
|
||||
result = mcp_server.call_tool("identify", arguments, runner)
|
||||
|
||||
assert runner.calls == [expected]
|
||||
_assert_the_cli_accepts(expected)
|
||||
assert result["isError"] is False
|
||||
assert result["structuredContent"]["report"] == {"is_ai_generated": True}
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("arguments", "expected"),
|
||||
[
|
||||
({"path": "d/a.png"}, ["metadata", "--remove", "-o", str(Path("d/a_clean.png")), "--", "d/a.png"]),
|
||||
({"path": "a.jpg", "mode": "visible"}, ["visible", "-o", "a_clean.jpg", "--", "a.jpg"]),
|
||||
({"path": "a.png", "mode": "all", "output": "o.png"}, ["all", "-o", "o.png", "--", "a.png"]),
|
||||
({"path": "c.mov"}, ["video", "metadata", "--remove", "-o", "c_clean.mov", "--", "c.mov"]),
|
||||
({"path": "c.mp4", "mode": "visible"}, ["video", "visible", "-o", "c_clean.mp4", "--", "c.mp4"]),
|
||||
],
|
||||
)
|
||||
def test_remove_maps_to_the_cli_and_always_names_an_output(arguments: dict, expected: list[str]) -> None:
|
||||
runner = _Recorder()
|
||||
|
||||
result = mcp_server.call_tool("remove", arguments, runner)
|
||||
|
||||
assert runner.calls == [expected]
|
||||
_assert_the_cli_accepts(expected)
|
||||
assert result["structuredContent"]["output"] == expected[expected.index("-o") + 1]
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("arguments", "expected"),
|
||||
[
|
||||
({"directory": "in"}, ["batch", "--mode", "metadata", "-o", str(Path("in_clean").resolve()), "--", "in"]),
|
||||
(
|
||||
{"directory": "in", "media": "video", "mode": "visible", "output_dir": "out"},
|
||||
["video", "batch", "--mode", "visible", "-o", "out", "--", "in"],
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_batch_maps_to_the_cli(arguments: dict, expected: list[str]) -> None:
|
||||
runner = _Recorder()
|
||||
|
||||
result = mcp_server.call_tool("batch", arguments, runner)
|
||||
|
||||
assert runner.calls == [expected]
|
||||
assert result["structuredContent"]["output"] == expected[expected.index("-o") + 1]
|
||||
_assert_the_cli_accepts(expected)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("tool", "arguments"),
|
||||
[
|
||||
("remove", {"path": "a.png", "output": "./a.png"}),
|
||||
("remove", {"path": "a.png", "mode": "invisible"}),
|
||||
("remove", {"path": ""}),
|
||||
("remove", {}),
|
||||
("identify", {"path": "a.png", "check_visible": "no"}),
|
||||
("identify", {"path": "a.png", "shell": "rm -rf /"}),
|
||||
("batch", {"directory": "in", "output_dir": "in"}),
|
||||
],
|
||||
)
|
||||
def test_invalid_arguments_are_refused_before_anything_runs(tool: str, arguments: dict) -> None:
|
||||
runner = _Recorder()
|
||||
|
||||
result = mcp_server.call_tool(tool, arguments, runner)
|
||||
|
||||
assert runner.calls == []
|
||||
assert result["isError"] is True
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("returncode", "stderr", "is_error"),
|
||||
[
|
||||
(0, "", False),
|
||||
(2, "", False),
|
||||
(1, "Error: boom", True),
|
||||
# Click's own usage errors also exit 2; they are failures, not a no-signal verdict.
|
||||
(2, "Usage: cli metadata [OPTIONS] SOURCE\nError: Invalid value for 'SOURCE'", True),
|
||||
],
|
||||
)
|
||||
def test_only_failures_are_tool_errors(returncode: int, stderr: str, is_error: bool) -> None:
|
||||
runner = _Recorder(returncode=returncode, stdout="table", stderr=stderr)
|
||||
|
||||
result = mcp_server.call_tool("remove", {"path": "a.png"}, runner)
|
||||
|
||||
assert result["isError"] is is_error
|
||||
assert result["structuredContent"]["exit_code"] == returncode
|
||||
assert ("not proof of a clean file" in result["content"][0]["text"]) is (returncode == 2 and not is_error)
|
||||
if is_error:
|
||||
assert stderr.splitlines()[-1] in result["content"][0]["text"]
|
||||
|
||||
|
||||
def test_serve_answers_line_by_line_and_reports_parse_errors() -> None:
|
||||
stdin = io.StringIO(
|
||||
json.dumps(_request("ping", request_id=7))
|
||||
+ "\n\nnot json\n"
|
||||
+ json.dumps({"jsonrpc": "2.0", "method": "notifications/initialized"})
|
||||
+ "\n"
|
||||
)
|
||||
stdout = io.StringIO()
|
||||
|
||||
mcp_server.serve(stdin, stdout, _Recorder())
|
||||
|
||||
replies = [json.loads(line) for line in stdout.getvalue().splitlines()]
|
||||
assert replies == [
|
||||
{"jsonrpc": "2.0", "id": 7, "result": {}},
|
||||
{"jsonrpc": "2.0", "id": None, "error": {"code": -32700, "message": "Parse error"}},
|
||||
]
|
||||
|
||||
|
||||
def test_the_cli_subcommand_serves_real_commands_over_stdio(tmp_path: Path) -> None:
|
||||
"""End to end through the installed CLI: every stdout line must be a protocol message."""
|
||||
output = tmp_path / "clean.mp4"
|
||||
messages = [
|
||||
_request("initialize", {"protocolVersion": "2025-06-18", "capabilities": {}}, 1),
|
||||
{"jsonrpc": "2.0", "method": "notifications/initialized"},
|
||||
_request("tools/call", {"name": "identify", "arguments": {"path": str(KLING_MP4), "check_visible": False}}, 2),
|
||||
_request("tools/call", {"name": "remove", "arguments": {"path": str(KLING_MP4), "output": str(output)}}, 3),
|
||||
]
|
||||
completed = subprocess.run( # noqa: S603
|
||||
SERVER,
|
||||
input="".join(json.dumps(message) + "\n" for message in messages),
|
||||
capture_output=True,
|
||||
text=True,
|
||||
check=True,
|
||||
timeout=300,
|
||||
)
|
||||
|
||||
replies = {reply["id"]: reply for reply in map(json.loads, completed.stdout.splitlines())}
|
||||
assert sorted(replies) == [1, 2, 3]
|
||||
report = replies[2]["result"]["structuredContent"]["report"]
|
||||
assert report["platform"] == "Kuaishou Kling AI"
|
||||
assert "kling_sei" in report["metadata_markers"]
|
||||
assert replies[3]["result"]["isError"] is False
|
||||
assert KLING_SEI_TAG not in output.read_bytes()
|
||||
|
||||
|
||||
def test_the_official_sdk_client_connects_and_calls_a_tool() -> None:
|
||||
"""The reference client probes server/discover first, then falls back to initialize."""
|
||||
anyio = pytest.importorskip("anyio")
|
||||
mcp = pytest.importorskip("mcp")
|
||||
|
||||
async def session() -> tuple[list[str], dict]:
|
||||
params = mcp.StdioServerParameters(command=SERVER[0], args=SERVER[1:], cwd=str(ROOT))
|
||||
async with mcp.Client(params) as client:
|
||||
tools = await client.list_tools()
|
||||
result = await client.call_tool("identify", {"path": str(KLING_MP4), "check_visible": False})
|
||||
return [tool.name for tool in tools.tools], result.structured_content
|
||||
|
||||
names, structured = anyio.run(session)
|
||||
|
||||
assert names == ["identify", "remove", "batch"]
|
||||
assert structured["report"]["platform"] == "Kuaishou Kling AI"
|
||||
|
||||
|
||||
def test_registry_manifest_matches_the_package_and_the_readme_marker() -> None:
|
||||
"""The registry launches `uvx <identifier>==<version> <packageArguments>` and verifies
|
||||
ownership by the README's `mcp-name:` marker, so each of those must agree."""
|
||||
from click.testing import CliRunner
|
||||
|
||||
from remove_ai_watermarks import __version__
|
||||
from remove_ai_watermarks.cli import main
|
||||
|
||||
manifest = json.loads((ROOT / "server.json").read_text(encoding="utf-8"))
|
||||
(package,) = manifest["packages"]
|
||||
readme = (ROOT / "README.md").read_text(encoding="utf-8")
|
||||
|
||||
assert manifest["version"] == package["version"] == __version__
|
||||
assert package["identifier"] == "remove-ai-watermarks"
|
||||
assert re.search(rf"mcp-name: {re.escape(manifest['name'])}(?=\s|-->|<)", readme)
|
||||
args = [argument["value"] for argument in package["packageArguments"]]
|
||||
assert CliRunner().invoke(main, [*args, "--help"]).exit_code == 0
|
||||
+105
-14
@@ -29,6 +29,12 @@ from remove_ai_watermarks.metadata import (
|
||||
xai_signature,
|
||||
)
|
||||
|
||||
|
||||
def _blanked(box: bytes) -> bytes:
|
||||
"""The same-length ``free`` box ``strip_c2pa_boxes`` leaves in place of a 32-bit-size box."""
|
||||
return box[:4] + b"free" + bytes(len(box) - 8)
|
||||
|
||||
|
||||
# Real, committed C2PA sample images used to ground the SynthID-source tests.
|
||||
SAMPLES_DIR = Path(__file__).resolve().parent.parent / "data" / "fixtures" / "provenance"
|
||||
|
||||
@@ -123,7 +129,7 @@ class TestHasAiMetadata:
|
||||
assert has_ai_metadata(path)
|
||||
|
||||
def test_strip_c2pa_boxes_removes_uuid_box(self, tmp_path: Path):
|
||||
"""ISOBMFF strip should drop the C2PA uuid box and keep everything else."""
|
||||
"""ISOBMFF strip should blank the C2PA uuid box in place and keep everything else."""
|
||||
from remove_ai_watermarks._internal.isobmff import strip_c2pa_boxes
|
||||
from remove_ai_watermarks.metadata import C2PA_UUID
|
||||
|
||||
@@ -133,7 +139,7 @@ class TestHasAiMetadata:
|
||||
mdat = b"\x00\x00\x00\x10mdat" + b"pixeldat"
|
||||
cleaned, stripped = strip_c2pa_boxes(ftyp + uuid_box + mdat)
|
||||
assert stripped == 1
|
||||
assert cleaned == ftyp + mdat
|
||||
assert cleaned == ftyp + _blanked(uuid_box) + mdat
|
||||
|
||||
def test_strip_c2pa_boxes_passthrough_for_non_isobmff(self):
|
||||
"""Non-ISOBMFF input must be returned unchanged."""
|
||||
@@ -145,7 +151,7 @@ class TestHasAiMetadata:
|
||||
assert cleaned == data
|
||||
|
||||
def test_remove_ai_metadata_strips_c2pa_in_avif(self, tmp_path: Path):
|
||||
"""End-to-end: ``remove_ai_metadata`` on a fake .avif drops the C2PA box."""
|
||||
"""End-to-end: ``remove_ai_metadata`` on a fake .avif blanks the C2PA box."""
|
||||
from remove_ai_watermarks.metadata import C2PA_UUID, remove_ai_metadata
|
||||
|
||||
src = tmp_path / "in.avif"
|
||||
@@ -157,7 +163,7 @@ class TestHasAiMetadata:
|
||||
out = tmp_path / "out.avif"
|
||||
result = remove_ai_metadata(src, out)
|
||||
assert result == out
|
||||
assert out.read_bytes() == ftyp + mdat
|
||||
assert out.read_bytes() == ftyp + _blanked(uuid_box) + mdat
|
||||
# And after stripping, detection must no longer flag the cleaned file.
|
||||
from remove_ai_watermarks.metadata import has_ai_metadata
|
||||
|
||||
@@ -334,17 +340,20 @@ class TestHasAiMetadata:
|
||||
assert after is not None
|
||||
assert np.array_equal(after, before)
|
||||
|
||||
def test_strip_and_verify_reports_markers_in_undecodable_copy_through(self, tmp_path: Path):
|
||||
"""A truly undecodable file keeps the established fail-safe result."""
|
||||
def test_strip_and_verify_refuses_an_undecodable_file(self, tmp_path: Path):
|
||||
"""A truly undecodable file raises before anything is written.
|
||||
|
||||
It used to be copied through and reported with its surviving markers, but a
|
||||
copy-through of bytes no scanner can parse may carry nothing a re-scan sees,
|
||||
and then it verified as a real strip (`tests/test_fail_closed.py`).
|
||||
"""
|
||||
src = _corrupt_c2pa_png(tmp_path / "source.png")
|
||||
src.write_bytes(src.read_bytes()[: src.stat().st_size // 2])
|
||||
out = tmp_path / "copy.png"
|
||||
|
||||
result, remaining = strip_and_verify(src, out)
|
||||
|
||||
assert result == out
|
||||
assert "c2pa_manifest" in remaining
|
||||
assert out.read_bytes() == src.read_bytes()
|
||||
with pytest.raises(ValueError, match=r"cannot read source\.png"):
|
||||
strip_and_verify(src, out)
|
||||
assert not out.exists()
|
||||
|
||||
|
||||
class TestC2paMarkerIn:
|
||||
@@ -2084,7 +2093,7 @@ class TestIsobmffMetadataRemoval:
|
||||
"""Container-level AI-provenance stripping across ISOBMFF image/video/audio."""
|
||||
|
||||
def test_strips_ai_xmp_uuid_box(self):
|
||||
# A uuid box carrying a TC260 AIGC label is dropped by content match,
|
||||
# A uuid box carrying a TC260 AIGC label is blanked by content match,
|
||||
# regardless of the (non-C2PA) XMP UUID's byte order.
|
||||
from remove_ai_watermarks._internal.isobmff import strip_c2pa_boxes
|
||||
|
||||
@@ -2093,7 +2102,7 @@ class TestIsobmffMetadataRemoval:
|
||||
box = (24 + len(payload)).to_bytes(4, "big") + b"uuid" + xmp_uuid + payload
|
||||
cleaned, stripped = strip_c2pa_boxes(_MP4_FTYP + box + _MP4_MDAT)
|
||||
assert stripped == 1
|
||||
assert cleaned == _MP4_FTYP + _MP4_MDAT
|
||||
assert cleaned == _MP4_FTYP + _blanked(box) + _MP4_MDAT
|
||||
|
||||
def test_keeps_plain_non_ai_xmp(self):
|
||||
# A uuid box with ordinary (non-AI) XMP must be preserved.
|
||||
@@ -2125,7 +2134,7 @@ class TestIsobmffMetadataRemoval:
|
||||
src.write_bytes(_MP4_FTYP + uuid_box + _MP4_MDAT)
|
||||
out = tmp_path / "out.bin"
|
||||
remove_ai_metadata(src, out)
|
||||
assert out.read_bytes() == _MP4_FTYP + _MP4_MDAT
|
||||
assert out.read_bytes() == _MP4_FTYP + _blanked(uuid_box) + _MP4_MDAT
|
||||
|
||||
def test_unparseable_audio_raises(self, tmp_path: Path):
|
||||
# Garbage that ffmpeg can't parse must raise a clear error, not crash in
|
||||
@@ -2557,3 +2566,85 @@ class TestTc260AudioPlacements:
|
||||
cleaned = tmp_path / f"clean{suffix}"
|
||||
remove_ai_metadata(source, cleaned)
|
||||
assert "aigc_label" not in get_ai_metadata(cleaned)
|
||||
|
||||
|
||||
def _shift_heif_iloc(data: bytes, delta: int) -> bytes:
|
||||
"""Add ``delta`` to every file-offset extent in the HEIF ``iloc`` box.
|
||||
|
||||
Lets a test insert a box ahead of ``mdat`` the way a C2PA signer does, which
|
||||
moves the coded image by ``delta`` bytes and so needs ``iloc`` rewritten.
|
||||
"""
|
||||
out = bytearray(data)
|
||||
meta = data.index(b"meta") - 4
|
||||
iloc = data.index(b"iloc", meta) - 4
|
||||
version = data[iloc + 8]
|
||||
pos = iloc + 12
|
||||
offset_size, length_size = data[pos] >> 4, data[pos] & 15
|
||||
base_size = data[pos + 1] >> 4
|
||||
index_size = data[pos + 1] & 15 if version in (1, 2) else 0
|
||||
pos += 2
|
||||
id_size = 2 if version < 2 else 4
|
||||
count = int.from_bytes(data[pos : pos + id_size], "big")
|
||||
pos += id_size
|
||||
for _ in range(count):
|
||||
pos += id_size
|
||||
method = 0
|
||||
if version in (1, 2):
|
||||
method = data[pos + 1] & 15
|
||||
pos += 2
|
||||
pos += 2 # data_reference_index
|
||||
base = int.from_bytes(data[pos : pos + base_size], "big") if base_size else 0
|
||||
if method == 0 and base_size:
|
||||
out[pos : pos + base_size] = (base + delta).to_bytes(base_size, "big")
|
||||
pos += base_size
|
||||
extents = int.from_bytes(data[pos : pos + 2], "big")
|
||||
pos += 2
|
||||
for _ in range(extents):
|
||||
pos += index_size
|
||||
if method == 0 and not base_size:
|
||||
offset = int.from_bytes(data[pos : pos + offset_size], "big")
|
||||
out[pos : pos + offset_size] = (offset + delta).to_bytes(offset_size, "big")
|
||||
pos += offset_size + length_size
|
||||
return bytes(out)
|
||||
|
||||
|
||||
class TestIsobmffStripKeepsOffsets:
|
||||
"""A HEIF locates its coded image through absolute ``iloc`` offsets, and an MP4
|
||||
through ``stco``/``co64``. Dropping a C2PA ``uuid`` box that sits ahead of
|
||||
``mdat`` moved the image without rewriting them, so the cleaned HEIC no longer
|
||||
decoded (a phone HEIC, 2026-10-13)."""
|
||||
|
||||
def test_c2pa_box_before_mdat_keeps_heic_decodable(self, tmp_path: Path):
|
||||
pillow_heif = pytest.importorskip("pillow_heif")
|
||||
pillow_heif.register_heif_opener()
|
||||
plain = tmp_path / "plain.heic"
|
||||
Image.new("RGB", (64, 48), (200, 30, 30)).save(plain, format="HEIF")
|
||||
data = plain.read_bytes()
|
||||
c2pa_box = struct.pack(">I", 8 + 16 + 64) + b"uuid" + C2PA_UUID + b"\x07" * 64
|
||||
mdat = data.index(b"mdat") - 4
|
||||
signed = _shift_heif_iloc(data[:mdat], len(c2pa_box)) + c2pa_box + data[mdat:]
|
||||
source = tmp_path / "signed.heic"
|
||||
source.write_bytes(signed)
|
||||
with Image.open(source) as im:
|
||||
expected = im.convert("RGB").tobytes()
|
||||
|
||||
cleaned = remove_ai_metadata(source, tmp_path / "clean.heic")
|
||||
|
||||
assert C2PA_UUID not in cleaned.read_bytes()
|
||||
with Image.open(cleaned) as im:
|
||||
assert im.convert("RGB").tobytes() == expected
|
||||
|
||||
def test_blanked_box_keeps_every_later_offset(self):
|
||||
from remove_ai_watermarks._internal.isobmff import strip_c2pa_boxes
|
||||
|
||||
ftyp = b"\x00\x00\x00\x18ftypheic\x00\x00\x00\x00mif1heic"
|
||||
c2pa_box = struct.pack(">I", 8 + 16 + 8) + b"uuid" + C2PA_UUID + b"manifest"
|
||||
mdat = b"\x00\x00\x00\x10mdat" + b"pixeldat"
|
||||
data = ftyp + c2pa_box + mdat
|
||||
|
||||
cleaned, stripped = strip_c2pa_boxes(data)
|
||||
|
||||
assert stripped == 1
|
||||
assert len(cleaned) == len(data)
|
||||
assert cleaned.index(b"mdat") == data.index(b"mdat")
|
||||
assert cleaned == ftyp + _blanked(c2pa_box) + mdat
|
||||
@@ -595,11 +595,11 @@ class TestISOBMFF:
|
||||
assert not is_isobmff(b"abc")
|
||||
|
||||
def test_strips_jpegxl_jumb_box(self):
|
||||
"""JPEG-XL stores JUMBF in a ``jumb`` box, always stripped."""
|
||||
"""JPEG-XL stores JUMBF in a ``jumb`` box, always blanked to ``free``."""
|
||||
jumb = struct.pack(">I", 8 + 5) + b"jumb" + b"hello"
|
||||
cleaned, stripped = strip_c2pa_boxes(FTYP + jumb)
|
||||
assert stripped == 1
|
||||
assert cleaned == FTYP
|
||||
assert cleaned == FTYP + struct.pack(">I", 8 + 5) + b"free" + bytes(5)
|
||||
|
||||
def test_keeps_non_c2pa_box_with_64bit_size(self):
|
||||
"""size==1 means a 64-bit largesize follows; non-C2PA box is kept."""
|
||||
|
||||
@@ -3,6 +3,7 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import re
|
||||
from typing import TYPE_CHECKING
|
||||
|
||||
import provider_oracle_web as web
|
||||
@@ -76,6 +77,36 @@ def _thordata_slot() -> oracles.ExecutionSlot:
|
||||
"not_detected",
|
||||
"unavailable",
|
||||
),
|
||||
(
|
||||
"synthid-web",
|
||||
"Watermark detected",
|
||||
"detected",
|
||||
"unavailable",
|
||||
),
|
||||
(
|
||||
"synthid-web",
|
||||
"Watermark not detected",
|
||||
"not_detected",
|
||||
"unavailable",
|
||||
),
|
||||
(
|
||||
"synthid-web",
|
||||
"SynthID was not detected\nIt is unlikely that this media was made with AI from a SynthID partner",
|
||||
"not_detected",
|
||||
"unavailable",
|
||||
),
|
||||
(
|
||||
"synthid-web",
|
||||
"Please sign in before detection.",
|
||||
"indeterminate",
|
||||
"unavailable",
|
||||
),
|
||||
(
|
||||
"synthid-web",
|
||||
"Watermark detected\nWatermark not detected",
|
||||
"indeterminate",
|
||||
"unavailable",
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_parse_provider_result(
|
||||
@@ -122,7 +153,12 @@ def test_openai_provider_error_is_a_settled_indeterminate_result() -> None:
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("surface", "ready_state"),
|
||||
[("meta-web", "networkidle"), ("microsoft-web", "networkidle"), ("openai-web", "load")],
|
||||
[
|
||||
("meta-web", "networkidle"),
|
||||
("microsoft-web", "networkidle"),
|
||||
("openai-web", "load"),
|
||||
("synthid-web", "networkidle"),
|
||||
],
|
||||
)
|
||||
def test_react_uploads_wait_for_surface_readiness_before_assigning_the_file(
|
||||
tmp_path: Path,
|
||||
@@ -183,29 +219,44 @@ def test_proxy_settings_are_loaded_from_an_environment_reference() -> None:
|
||||
}
|
||||
|
||||
|
||||
def test_thordata_proxy_settings_pin_one_exit_for_the_browser_session() -> None:
|
||||
def test_thordata_proxy_settings_take_a_fresh_europe_or_us_session() -> None:
|
||||
proxy = web.proxy_settings(
|
||||
_thordata_slot(),
|
||||
{"THORDATA_ROUTE_US": "http://route:secret@gateway.pr.thordata.net:9999"},
|
||||
sticky_session_id="oracle0123456789abcdef",
|
||||
{
|
||||
"THORDATA_ROUTE_US": "http://td-customer-user-country-JP-sessid-prepared-sesstime-15:secret@gateway.pr.thordata.net:9999"
|
||||
},
|
||||
country="DE",
|
||||
session_id="freshsession01",
|
||||
)
|
||||
|
||||
assert proxy == {
|
||||
"server": "http://gateway.pr.thordata.net:9999",
|
||||
"username": "route-sessid-oracle0123456789abcdef-sesstime-90",
|
||||
"username": "td-customer-user-country-DE-sessid-freshsession01-sesstime-90",
|
||||
"password": "secret",
|
||||
}
|
||||
|
||||
|
||||
def test_thordata_proxy_settings_preserve_an_explicit_session() -> None:
|
||||
proxy = web.proxy_settings(
|
||||
_thordata_slot(),
|
||||
{"THORDATA_ROUTE_US": ("http://route-sessid-manual-sesstime-15:secret@gateway.pr.thordata.net:9999")},
|
||||
sticky_session_id="oracle0123456789abcdef",
|
||||
)
|
||||
def test_thordata_proxy_settings_reject_a_country_outside_europe_or_the_us() -> None:
|
||||
assert "US" in web.EUROPE_OR_US_COUNTRIES
|
||||
assert "DE" in web.EUROPE_OR_US_COUNTRIES
|
||||
assert "JP" not in web.EUROPE_OR_US_COUNTRIES
|
||||
|
||||
assert proxy is not None
|
||||
assert proxy["username"] == "route-sessid-manual-sesstime-15"
|
||||
with pytest.raises(ValueError, match="Europe or the US"):
|
||||
web.proxy_settings(
|
||||
_thordata_slot(),
|
||||
{"THORDATA_ROUTE_US": "http://route:secret@gateway.pr.thordata.net:9999"},
|
||||
country="JP",
|
||||
session_id="freshsession01",
|
||||
)
|
||||
|
||||
|
||||
def test_new_proxy_session_changes_between_calls() -> None:
|
||||
first = web.new_proxy_session()
|
||||
second = web.new_proxy_session()
|
||||
|
||||
assert first != second
|
||||
assert re.fullmatch(r"[A-Za-z0-9]{1,32}", first)
|
||||
assert re.fullmatch(r"[A-Za-z0-9]{1,32}", second)
|
||||
|
||||
|
||||
def test_proxy_settings_do_not_treat_a_missing_secret_as_direct_access() -> None:
|
||||
@@ -356,6 +407,8 @@ def test_run_web_batch_loads_the_selected_proxy_from_dotenv(
|
||||
proxies.append(proxy)
|
||||
return [web.WebVerdict("not_detected", "unavailable", "No OpenAI signals detected")]
|
||||
|
||||
monkeypatch.setattr(web, "choose_proxy_country", lambda rng=None: "NL")
|
||||
monkeypatch.setattr(web, "new_proxy_session", lambda: "freshsession01")
|
||||
monkeypatch.setattr(web, "_submit_batch", submit)
|
||||
report = web.run_web_batch(
|
||||
manifest_path,
|
||||
@@ -367,11 +420,10 @@ def test_run_web_batch_loads_the_selected_proxy_from_dotenv(
|
||||
)
|
||||
|
||||
assert report["watermark_results"] == {"not_detected": 1}
|
||||
manifest_sha256 = json.loads((manifest_path.parent / "results.json").read_text(encoding="utf-8"))["manifest_sha256"]
|
||||
assert proxies == [
|
||||
{
|
||||
"server": "http://proxy.pr.thordata.net:9999",
|
||||
"username": (f"td-customer-user-country-US-sessid-oracle{manifest_sha256[:16]}-sesstime-90"),
|
||||
"username": "td-customer-user-country-NL-sessid-freshsession01-sesstime-90",
|
||||
"password": "test-thordata-password",
|
||||
}
|
||||
]
|
||||
@@ -392,7 +444,7 @@ def test_run_web_batch_requires_explicit_upload_acknowledgement(
|
||||
web.run_web_batch(manifest_path, acknowledge_uploads=False)
|
||||
|
||||
|
||||
def test_run_web_batch_refuses_google_real_browser_workflow(
|
||||
def test_run_web_batch_refuses_gemini_real_browser_workflow(
|
||||
tmp_path: Path,
|
||||
tmp_clean_png: Path,
|
||||
) -> None:
|
||||
@@ -405,3 +457,18 @@ def test_run_web_batch_refuses_google_real_browser_workflow(
|
||||
|
||||
with pytest.raises(ValueError, match="real Chrome"):
|
||||
web.run_web_batch(manifest_path, acknowledge_uploads=True)
|
||||
|
||||
|
||||
def test_run_web_batch_requires_a_slot_for_synthid(
|
||||
tmp_path: Path,
|
||||
tmp_clean_png: Path,
|
||||
) -> None:
|
||||
manifest_path = oracles.prepare_batch(
|
||||
"synthid-web",
|
||||
[tmp_clean_png],
|
||||
output_dir=tmp_path / "oracle-batch",
|
||||
repository_root=oracles.REPOSITORY_ROOT,
|
||||
)
|
||||
|
||||
with pytest.raises(ValueError, match="explicit execution slot"):
|
||||
web.run_web_batch(manifest_path, acknowledge_uploads=True)
|
||||
@@ -23,6 +23,7 @@ def test_catalog_covers_every_project_vendor_oracle_surface() -> None:
|
||||
"microsoft-web",
|
||||
"openai-api",
|
||||
"openai-web",
|
||||
"synthid-web",
|
||||
}
|
||||
assert {"google", "meta", "microsoft", "openai"} == oracles.PROVIDER_KEYS
|
||||
assert oracles.SURFACES["openai-api"].automation == "api"
|
||||
@@ -34,6 +35,15 @@ def test_catalog_covers_every_project_vendor_oracle_surface() -> None:
|
||||
"Does this image/video/audio contain a SynthID watermark? Use the SynthID verification tool only; "
|
||||
"do not infer from visible content, logos, text, or metadata."
|
||||
)
|
||||
synthid = oracles.SURFACES["synthid-web"]
|
||||
assert synthid.automation == "playwright"
|
||||
assert synthid.account_slots is False
|
||||
assert synthid.provider_key == "google"
|
||||
assert synthid.url == "https://synthid.com/"
|
||||
assert synthid.media_types == ("image", "video", "audio")
|
||||
assert synthid.project_evidence == ()
|
||||
assert synthid.prompt is None
|
||||
assert "Google DeepMind, Nvidia, OpenAI, and Kakao" in synthid.clean_result_note
|
||||
|
||||
|
||||
def test_default_slot_config_is_repository_local() -> None:
|
||||
@@ -52,6 +62,7 @@ def test_list_json_exposes_scope_and_surface() -> None:
|
||||
"meta-web",
|
||||
"microsoft-web",
|
||||
"openai-web",
|
||||
"synthid-web",
|
||||
]
|
||||
assert next(row for row in payload if row["key"] == "meta-web")["signal_family"] == "content_seal"
|
||||
|
||||
@@ -59,7 +70,7 @@ def test_list_json_exposes_scope_and_surface() -> None:
|
||||
@pytest.mark.parametrize(
|
||||
("provider", "expected"),
|
||||
[
|
||||
("google", ["gemini-web"]),
|
||||
("google", ["gemini-web", "synthid-web"]),
|
||||
("meta", ["meta-web"]),
|
||||
("microsoft", ["microsoft-api", "microsoft-web"]),
|
||||
("openai", ["openai-api", "openai-web"]),
|
||||
@@ -69,6 +80,17 @@ def test_provider_plan_prefers_api_before_web(provider: str, expected: list[str]
|
||||
assert [surface.key for surface in oracles.provider_plan(provider)] == expected
|
||||
|
||||
|
||||
def test_plan_json_keeps_every_google_web_surface_primary() -> None:
|
||||
result = CliRunner().invoke(oracles.cli, ["plan", "google", "--json"])
|
||||
|
||||
assert result.exit_code == 0, result.output
|
||||
payload = json.loads(result.output)
|
||||
assert [(row["key"], row["preference"], row["url"]) for row in payload] == [
|
||||
("gemini-web", "primary", "https://gemini.google.com/"),
|
||||
("synthid-web", "primary", "https://synthid.com/"),
|
||||
]
|
||||
|
||||
|
||||
def test_plan_json_marks_web_as_an_explicit_fallback_when_api_exists() -> None:
|
||||
result = CliRunner().invoke(oracles.cli, ["plan", "openai", "--json"])
|
||||
|
||||
@@ -80,6 +102,16 @@ def test_plan_json_marks_web_as_an_explicit_fallback_when_api_exists() -> None:
|
||||
]
|
||||
|
||||
|
||||
def test_plan_text_tells_the_caller_to_run_the_next_surface() -> None:
|
||||
result = CliRunner().invoke(oracles.cli, ["plan", "openai"])
|
||||
|
||||
assert result.exit_code == 0, result.output
|
||||
assert "primary\topenai-api\tapi\tContent Provenance API" in result.output
|
||||
assert "fallback\topenai-web\tplaywright\tContent Provenance web verifier" in result.output
|
||||
assert "run the next surface as its own command" in result.output
|
||||
assert "separate operator decision" not in result.output
|
||||
|
||||
|
||||
def test_slots_support_multiple_accounts_and_networks(tmp_path: Path) -> None:
|
||||
config = tmp_path / "slots.json"
|
||||
config.write_text(
|
||||
@@ -119,6 +151,14 @@ def test_slots_support_multiple_accounts_and_networks(tmp_path: Path) -> None:
|
||||
"network_label": "home",
|
||||
"api_key_env": "OPENAI_API_KEY_1",
|
||||
},
|
||||
{
|
||||
"name": "synthid-proxy",
|
||||
"surface": "synthid-web",
|
||||
"account_label": None,
|
||||
"browser_profile": None,
|
||||
"network_label": "thordata",
|
||||
"proxy_url_env": "THORDATA_PROXY",
|
||||
},
|
||||
],
|
||||
}
|
||||
),
|
||||
@@ -132,7 +172,12 @@ def test_slots_support_multiple_accounts_and_networks(tmp_path: Path) -> None:
|
||||
"gemini-research",
|
||||
"openai-api-1",
|
||||
"openai-west",
|
||||
"synthid-proxy",
|
||||
}
|
||||
assert slots["synthid-proxy"]["browser_profile"] is None
|
||||
assert slots["synthid-proxy"]["account_label"] is None
|
||||
assert slots["synthid-proxy"]["proxy_url_env"] == "THORDATA_PROXY"
|
||||
assert slots["synthid-proxy"]["google_account_index"] is None
|
||||
assert slots["gemini-research"]["account_label"] == "research-b"
|
||||
assert slots["gemini-research"]["google_account_index"] == 2
|
||||
assert slots["openai-west"]["network_label"] == "west-egress"
|
||||
@@ -171,6 +216,33 @@ def test_named_slot_uses_repository_local_config_by_default(
|
||||
assert slot["api_key_env"] == "OPENAI_API_KEY_1"
|
||||
|
||||
|
||||
def test_proxy_is_only_for_an_unauthenticated_oracle(tmp_path: Path) -> None:
|
||||
for surface in oracles.SURFACES.values():
|
||||
slot: dict[str, str | int | None] = {
|
||||
"name": "probe",
|
||||
"surface": surface.key,
|
||||
"account_label": "account" if surface.account_slots else None,
|
||||
"browser_profile": "Profile 1" if surface.automation == "real_browser" else None,
|
||||
"network_label": "route",
|
||||
"proxy_url_env": "THORDATA_ROUTE_US",
|
||||
}
|
||||
if surface.key == "gemini-web":
|
||||
slot["google_account_index"] = 0
|
||||
if surface.key == "openai-api":
|
||||
slot["api_key_env"] = "OPENAI_API_KEY_1"
|
||||
config = tmp_path / f"{surface.key}.json"
|
||||
config.write_text(json.dumps({"format_version": 1, "slots": [slot]}), encoding="utf-8")
|
||||
|
||||
if surface.account_slots:
|
||||
with pytest.raises(ValueError, match="does not use proxy_url_env"):
|
||||
oracles.load_slots(config)
|
||||
continue
|
||||
|
||||
loaded = oracles.load_slots(config)
|
||||
assert loaded["probe"]["proxy_url_env"] == "THORDATA_ROUTE_US"
|
||||
assert loaded["probe"]["account_label"] is None
|
||||
|
||||
|
||||
def test_slots_override_requires_a_named_slot(tmp_path: Path) -> None:
|
||||
with pytest.raises(ValueError, match="--slots requires --slot"):
|
||||
oracles.resolve_slot("openai-api", slots_path=tmp_path / "slots.json", slot_name=None)
|
||||
@@ -255,11 +327,42 @@ def test_slots_override_requires_a_named_slot(tmp_path: Path) -> None:
|
||||
},
|
||||
"only openai-api uses api_key_env",
|
||||
),
|
||||
(
|
||||
{
|
||||
"name": "synthid-with-profile",
|
||||
"surface": "synthid-web",
|
||||
"account_label": None,
|
||||
"browser_profile": "Profile 2",
|
||||
"network_label": "home",
|
||||
},
|
||||
"only a real-browser surface uses a browser_profile",
|
||||
),
|
||||
(
|
||||
{
|
||||
"name": "synthid-with-account-index",
|
||||
"surface": "synthid-web",
|
||||
"account_label": None,
|
||||
"browser_profile": None,
|
||||
"google_account_index": 0,
|
||||
"network_label": "home",
|
||||
},
|
||||
"only gemini-web uses google_account_index",
|
||||
),
|
||||
(
|
||||
{
|
||||
"name": "synthid-with-account",
|
||||
"surface": "synthid-web",
|
||||
"account_label": "personal-a",
|
||||
"browser_profile": None,
|
||||
"network_label": "home",
|
||||
},
|
||||
"does not use account slots",
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_slots_require_the_identity_needed_by_the_surface(
|
||||
tmp_path: Path,
|
||||
slot: dict[str, str | None],
|
||||
slot: dict[str, str | int | None],
|
||||
message: str,
|
||||
) -> None:
|
||||
config = tmp_path / "slots.json"
|
||||
|
||||
@@ -214,3 +214,61 @@ def test_clawhub_uses_local_install(tmp_path: Path) -> None:
|
||||
"login --token synthetic",
|
||||
"inspect remove-ai-watermarks --file SKILL.md",
|
||||
]
|
||||
|
||||
|
||||
@pytest.mark.skipif(os.name != "posix" or shutil.which("bash") is None, reason="Executes an Ubuntu Bash workflow")
|
||||
@pytest.mark.parametrize(("status", "listed"), [("200", "true"), ("404", "false"), ("503", None)])
|
||||
def test_mcp_registry_lookup_skips_listed_versions_and_fails_on_other_replies(
|
||||
tmp_path: Path, status: str, listed: str | None
|
||||
) -> None:
|
||||
workflow = _workflow("publish-mcp-registry.yml")
|
||||
script = _step("publish-mcp-registry.yml", "publish", "Skip a version the registry already lists")["run"]
|
||||
bin_dir = tmp_path / "bin"
|
||||
bin_dir.mkdir()
|
||||
curl = bin_dir / "curl"
|
||||
curl.write_text(f'#!/bin/sh\nprintf "%s\\n" "$*" >> "$CALL_LOG"\nprintf {status}\n')
|
||||
curl.chmod(0o755)
|
||||
env = {
|
||||
**os.environ,
|
||||
**workflow["jobs"]["publish"]["env"],
|
||||
"PATH": str(bin_dir) + os.pathsep + os.environ["PATH"],
|
||||
"VERSION": "0.46.0",
|
||||
"GITHUB_OUTPUT": str(tmp_path / "output"),
|
||||
"GITHUB_STEP_SUMMARY": str(tmp_path / "summary"),
|
||||
"CALL_LOG": str(tmp_path / "calls"),
|
||||
}
|
||||
result = subprocess.run(["bash", "-c", script], cwd=tmp_path, env=env, capture_output=True, text=True)
|
||||
# The server name carries a slash, so it must reach the registry percent-encoded.
|
||||
assert "/v0/servers/io.github.wiltodelta%2Fremove-ai-watermarks/versions/0.46.0" in (tmp_path / "calls").read_text()
|
||||
if listed is None:
|
||||
assert result.returncode != 0
|
||||
return
|
||||
assert result.returncode == 0, result.stderr
|
||||
assert f"listed={listed}" in (tmp_path / "output").read_text()
|
||||
|
||||
|
||||
@pytest.mark.skipif(os.name != "posix" or shutil.which("bash") is None, reason="Executes an Ubuntu Bash workflow")
|
||||
@pytest.mark.parametrize(
|
||||
("release", "package", "accepted"),
|
||||
[("1.0.0", "1.0.0", True), ("1.0.1", "1.0.0", False), ("1.0.0", "1.0.1", False)],
|
||||
)
|
||||
def test_mcp_registry_publishes_only_a_server_json_that_matches_the_release(
|
||||
tmp_path: Path, release: str, package: str, accepted: bool
|
||||
) -> None:
|
||||
workflow = _workflow("publish-mcp-registry.yml")
|
||||
script = _step("publish-mcp-registry.yml", "publish", "Check server.json matches the release")["run"]
|
||||
manifest = json.loads((ROOT / "server.json").read_text(encoding="utf-8"))
|
||||
manifest["version"] = "1.0.0"
|
||||
# A stale package entry under a bumped server version must not publish either.
|
||||
manifest["packages"][0]["version"] = package
|
||||
(tmp_path / "server.json").write_text(json.dumps(manifest), encoding="utf-8")
|
||||
env = {**os.environ, **workflow["jobs"]["publish"]["env"], "VERSION": release}
|
||||
result = subprocess.run(["bash", "-c", script], cwd=tmp_path, env=env, capture_output=True, text=True)
|
||||
assert (result.returncode == 0) == accepted, result.stderr
|
||||
|
||||
|
||||
def test_mcp_registry_publishes_on_release_with_an_oidc_token() -> None:
|
||||
workflow = _workflow("publish-mcp-registry.yml")
|
||||
assert workflow["permissions"]["id-token"] == "write"
|
||||
# PyYAML reads the bare `on:` key as the boolean True.
|
||||
assert set(workflow[True]) == {"release", "workflow_dispatch"}
|
||||
@@ -117,7 +117,7 @@ class TestIsobmffStripFailSafe:
|
||||
|
||||
cleaned, stripped = isobmff.strip_c2pa_boxes(data)
|
||||
assert stripped == 1
|
||||
assert len(cleaned) == len(data) - len(c2pa_box)
|
||||
assert len(cleaned) == len(data)
|
||||
assert isobmff.C2PA_UUID not in cleaned
|
||||
|
||||
def test_malformed_box_does_not_truncate_tail(self):
|
||||
|
||||
+121
-5
@@ -17,12 +17,13 @@ from click.testing import CliRunner
|
||||
from PIL import Image, ImageDraw, ImageFont
|
||||
|
||||
from remove_ai_watermarks.cli import main
|
||||
from remove_ai_watermarks.metadata import C2PA_UUID
|
||||
from remove_ai_watermarks.metadata import C2PA_UUID, KLING_SEI_TAG
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from collections.abc import Callable
|
||||
|
||||
|
||||
_PROVENANCE_FIXTURES = Path(__file__).resolve().parents[1] / "data/fixtures/provenance"
|
||||
_MP4_FTYP = b"\x00\x00\x00\x18ftypmp42\x00\x00\x00\x00mp42isom"
|
||||
_VIDEO_PAYLOAD = b"synthetic-video-payload"
|
||||
_TC260_AIGC = (
|
||||
@@ -36,6 +37,17 @@ def _box(box_type: bytes, payload: bytes) -> bytes:
|
||||
return (8 + len(payload)).to_bytes(4, "big") + box_type + payload
|
||||
|
||||
|
||||
# The H.264 NAL exactly as Kling writes it into the first sample: a 4-byte length,
|
||||
# an SEI header, payload type 5 (user_data_unregistered) of 25 bytes, the tag, a
|
||||
# NUL and the RBSP trailing bits.
|
||||
_KLING_SEI_NAL = b"\x00\x00\x00\x1d\x06\x05\x19" + KLING_SEI_TAG + b"\x00\x80"
|
||||
|
||||
|
||||
def _video_with_kling_sei(path: Path) -> Path:
|
||||
path.write_bytes(_MP4_FTYP + _box(b"mdat", _KLING_SEI_NAL + _VIDEO_PAYLOAD) + _box(b"moov", b""))
|
||||
return path
|
||||
|
||||
|
||||
def _video_with_c2pa(path: Path) -> Path:
|
||||
manifest = C2PA_UUID + b"OpenAI trainedAlgorithmicMedia c2pa.watermarked.unbound"
|
||||
path.write_bytes(_MP4_FTYP + _box(b"uuid", manifest) + _box(b"mdat", _VIDEO_PAYLOAD))
|
||||
@@ -644,6 +656,108 @@ class TestVideoMetadataApi:
|
||||
assert _VIDEO_PAYLOAD in output.read_bytes()
|
||||
assert C2PA_UUID not in output.read_bytes()
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"name",
|
||||
sorted(path.name for path in _PROVENANCE_FIXTURES.glob("*.mp4")),
|
||||
)
|
||||
def test_no_flagged_metadata_value_survives_in_the_output_bytes(self, tmp_path: Path, name: str):
|
||||
# The re-scan reads only the head window it was built for. Each flagged value
|
||||
# is also searched for byte for byte, so an untouched copy the re-scan does not
|
||||
# reach cannot survive while `remaining` reports clean.
|
||||
from remove_ai_watermarks._internal.isobmff import _metadata_items
|
||||
from remove_ai_watermarks.metadata import (
|
||||
app_generator_from_metadata,
|
||||
app_provenance_from_metadata,
|
||||
parse_tc260_aigc_json,
|
||||
)
|
||||
from remove_ai_watermarks.video import remove_video_metadata
|
||||
|
||||
source = _PROVENANCE_FIXTURES / name
|
||||
data = source.read_bytes()
|
||||
flagged = [
|
||||
value
|
||||
for _key, _span, _start, _end, value in _metadata_items(io.BytesIO(data), len(data))
|
||||
if app_provenance_from_metadata(value)
|
||||
or app_generator_from_metadata(value)
|
||||
or parse_tc260_aigc_json(value) is not None
|
||||
]
|
||||
|
||||
result = remove_video_metadata(source, tmp_path / name)
|
||||
|
||||
assert bool(flagged) == bool({"aigc_label", "app_provenance"} & set(result.detected))
|
||||
assert (KLING_SEI_TAG in data) == ("kling_sei" in result.detected)
|
||||
assert result.remaining == {}
|
||||
cleaned = result.output.read_bytes()
|
||||
assert len(cleaned) == len(data)
|
||||
assert C2PA_UUID not in cleaned
|
||||
assert KLING_SEI_TAG not in cleaned
|
||||
assert [value for value in flagged if value in cleaned] == []
|
||||
|
||||
def test_kling_sei_tag_alone_identifies_kling_and_is_blanked_in_place(self, tmp_path: Path):
|
||||
from remove_ai_watermarks.video import identify_video, inspect_video_metadata, remove_video_metadata
|
||||
|
||||
source = _video_with_kling_sei(tmp_path / "source.mp4")
|
||||
|
||||
assert "kling_sei" in inspect_video_metadata(source).markers
|
||||
report = identify_video(source, check_visible=False)
|
||||
assert report.is_ai_generated is True
|
||||
assert report.platform == "Kuaishou Kling AI"
|
||||
|
||||
result = remove_video_metadata(source, tmp_path / "clean.mp4")
|
||||
cleaned = result.output.read_bytes()
|
||||
|
||||
assert result.remaining == {}
|
||||
assert len(cleaned) == source.stat().st_size
|
||||
assert KLING_SEI_TAG not in cleaned
|
||||
# Only the tag bytes change: the NAL length, the SEI header and payload size,
|
||||
# the trailing bits and the coded payload keep the stream parseable.
|
||||
assert _KLING_SEI_NAL.replace(KLING_SEI_TAG, b" " * len(KLING_SEI_TAG)) + _VIDEO_PAYLOAD in cleaned
|
||||
|
||||
def test_kling_sei_tag_is_blanked_past_the_scan_window_and_across_read_chunks(self, tmp_path: Path):
|
||||
from remove_ai_watermarks._internal.isobmff import _STREAM_COPY_BYTES
|
||||
from remove_ai_watermarks.video import remove_video_metadata
|
||||
|
||||
# The first copy straddles the copy loop's first read boundary; the second
|
||||
# sits past it and past the 1 MiB detection window.
|
||||
header = len(_MP4_FTYP) + 8
|
||||
lead = _STREAM_COPY_BYTES - header - len(_KLING_SEI_NAL) // 2
|
||||
payload = b"\x11" * lead + _KLING_SEI_NAL + b"\x11" * 1024 + _KLING_SEI_NAL + _VIDEO_PAYLOAD
|
||||
source = tmp_path / "source.mp4"
|
||||
source.write_bytes(_MP4_FTYP + _box(b"mdat", payload) + _box(b"moov", b""))
|
||||
tag_offset = source.read_bytes().index(KLING_SEI_TAG)
|
||||
assert tag_offset < _STREAM_COPY_BYTES < tag_offset + len(KLING_SEI_TAG)
|
||||
|
||||
result = remove_video_metadata(source, tmp_path / "clean.mp4")
|
||||
cleaned = result.output.read_bytes()
|
||||
|
||||
assert len(cleaned) == source.stat().st_size
|
||||
assert cleaned.count(b" " * len(KLING_SEI_TAG)) == 2
|
||||
assert KLING_SEI_TAG not in cleaned
|
||||
|
||||
@pytest.mark.parametrize("name", ["higgsfield-kling-3-0-turbo.mp4", "higgsfield-cinema-studio-v2.mp4"])
|
||||
def test_blanking_the_kling_sei_tag_leaves_every_decoded_frame_unchanged(self, tmp_path: Path, name: str):
|
||||
from remove_ai_watermarks.video import remove_video_metadata
|
||||
|
||||
ffmpeg, _ffprobe = _ffmpeg_test_tools()
|
||||
source = _PROVENANCE_FIXTURES / name
|
||||
assert KLING_SEI_TAG in source.read_bytes()
|
||||
|
||||
result = remove_video_metadata(source, tmp_path / name)
|
||||
|
||||
def frame_hashes(path: Path) -> list[str]:
|
||||
completed = subprocess.run( # noqa: S603
|
||||
[ffmpeg, "-v", "error", "-xerror", "-i", str(path), "-map", "0:v:0", "-f", "framemd5", "-"],
|
||||
check=True,
|
||||
capture_output=True,
|
||||
)
|
||||
assert completed.stderr == b""
|
||||
return [line for line in completed.stdout.decode().splitlines() if not line.startswith("#")]
|
||||
|
||||
assert KLING_SEI_TAG not in result.output.read_bytes()
|
||||
before = frame_hashes(source)
|
||||
assert before
|
||||
assert frame_hashes(result.output) == before
|
||||
|
||||
def test_default_output_preserves_source(self, tmp_path: Path):
|
||||
from remove_ai_watermarks.video import remove_video_metadata
|
||||
|
||||
@@ -720,13 +834,15 @@ class TestVideoMetadataApi:
|
||||
cleaned = output.read_bytes()
|
||||
|
||||
assert result.detected["aigc_label"].startswith("China AIGC label")
|
||||
# The artwork item's Doubao product JSON is app-export provenance, a
|
||||
# separate signal the TC260 blanker does not touch -- as on the real
|
||||
# Doubao iOS export this fixture mirrors.
|
||||
assert result.remaining == {"app_provenance": "App export provenance (ByteDance Doubao)"}
|
||||
# The artwork item's Doubao product JSON is app-export provenance, which
|
||||
# the stripper blanks beside the TC260 label, as on the real Doubao iOS
|
||||
# export this fixture mirrors.
|
||||
assert result.detected["app_provenance"] == "App export provenance (ByteDance Doubao)"
|
||||
assert result.remaining == {}
|
||||
assert len(cleaned) == source.stat().st_size
|
||||
assert _VIDEO_PAYLOAD in cleaned
|
||||
assert _TC260_AIGC not in cleaned
|
||||
assert b'"product":"doubao"' not in cleaned
|
||||
|
||||
def test_inspects_native_tc260_in_quicktime_mdir_metadata_list(self, tmp_path: Path):
|
||||
# The second Doubao iOS variant: a QuickTime metadata list under
|
||||
|
||||
@@ -56,7 +56,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "aiohttp"
|
||||
version = "3.14.3"
|
||||
version = "3.14.5"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "aiohappyeyeballs" },
|
||||
@@ -68,108 +68,109 @@ dependencies = [
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
|
||||
{ name = "yarl" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/58/d9/22ce5786ac0c1653ae8b6c23bded02c1686d11f0dbb45b31ce128e0df985/aiohttp-3.14.3.tar.gz", hash = "sha256:9491196535a88924a60afd5b5f434b5b203b6cc616250878dbdb223a8f7844bc", size = 7971213, upload-time = "2026-07-23T01:57:27.037Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/6c/4c/bdccd81e9ee225b69c60e7766c9a5b05364f118f4d383713b89a682d772d/aiohttp-3.14.5.tar.gz", hash = "sha256:5558a7f5a05af9ecf744af91e5baefc436f93c9333e656c27ec253f9a6bbe178", size = 8078052, upload-time = "2026-10-11T01:05:12.408Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/f8/5c/b3e4ff8ad43a8afef9602c5e90285936da1beaea8b029016b793891f03c3/aiohttp-3.14.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:e568e14940c09955aa51f4e645b6daa18a581c5dcfcd73744dcc86a856e3ced3", size = 764250, upload-time = "2026-07-23T01:52:48.525Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0e/da/f1b384465e51449d844056b75070461da03a9a23e6c1747003695bf4172a/aiohttp-3.14.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:54cfcdee2770dac994417cbb0ee1f3eb0e7cb6b30c79bf44f2c02ff79ec5124a", size = 516281, upload-time = "2026-07-23T01:52:51.047Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b9/3f/01264f820ee2e3712a827892b1cd6ff80f3300c1fcbffbb45714a915d47a/aiohttp-3.14.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:21c016079415ed3fd676963e9793700a566d85dbbd6bfc564b9b2d209147dcc8", size = 514742, upload-time = "2026-07-23T01:52:53.779Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/9e/8d/a71c6f2db52ac1ed142b133f7feddaa6b70539c3f4de24d7e226c95b794c/aiohttp-3.14.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d6088ec9894113802bddb3c09e974929aed2c7b3a8c456219b8aab4481f1a239", size = 1780613, upload-time = "2026-07-23T01:52:56.948Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a5/11/3dd9b3fb3a170f6ec9011b5291d876a6fab4086714c9e158600edf01b4fd/aiohttp-3.14.3-cp311-cp311-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:16ea7e24c309fb7c0bbd505d149abe4fe4dccfb8db911db7dbec0921bc889a6f", size = 1737688, upload-time = "2026-07-23T01:52:59.294Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/6d/3e/834c26918be7d88068822b40e0db30fca50b5f4fe79104aa16a93f1d74e6/aiohttp-3.14.3-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:56f355e79f71aef2a85c80305cc915f894b170dba76de5fe84f6351939b83c06", size = 1845742, upload-time = "2026-07-23T01:53:01.641Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/cc/c9/49ab8572df7d66bc13d11e31f781292badb04180dd87ba98733066c6aed7/aiohttp-3.14.3-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:18c441d0a8fca6de8d1f546849b9f0ab20d435993e2c5b59562b2fae6be2f929", size = 1928412, upload-time = "2026-07-23T01:53:04.018Z" },
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[[package]]
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@@ -3795,6 +4036,32 @@ wheels = [
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]
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[[package]]
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version = "3.5.0"
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source = { registry = "https://pypi.org/simple" }
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dependencies = [
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{ name = "anyio" },
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{ name = "starlette" },
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wheels = [
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[[package]]
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{ name = "anyio" },
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{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
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wheels = [
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[[package]]
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[[package]]
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{ name = "h11" },
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wheels = [
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[[package]]
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version = "0.9.1"
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Reference in new issue
Block a user