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Victor KuznetsovandClaude Opus 5.5 04364efde2 Release 0.47.0
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 14:29:43 -07:00
Victor KuznetsovandClaude Opus 5.5 303aba6b8a Publish the invisible output only after a clean strip, and skip re-probing own encodes
The diffusion writer stripped its output in place and then raised on a
surviving marker, which left the AI-readable file at the output path. It now
writes to a staged sibling and publishes only when nothing survives, as
`visible`, `erase` and `remove_all` already do.

The package's own writers strip through the new
`metadata.strip_written_output`, which skips the readability probe:
`strip_and_verify` decoded every pixel of a file this run had just encoded,
doubling the cost of the strip. `strip_and_verify` keeps the probe for
user-supplied sources.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 14:29:43 -07:00
Victor Kuznetsov f6b7c366e8 Merge pull request #126 from wiltodelta/feat/watermark-library-followups
Fail closed on unreadable inputs, empty batches and failed strips
2026-10-19 12:32:39 -07:00
Victor Kuznetsov 30423aca5e Merge pull request #125 from wiltodelta/fix/isobmff-strip-keeps-offsets
Blank ISOBMFF provenance boxes in place so HEIF iloc offsets stay valid
2026-10-19 12:16:14 -07:00
Victor KuznetsovandClaude Opus 5.5 ace71128b9 Bump aiohttp to 3.14.5 for GHSA-5wr8-gcqf-gqf3, GHSA-2g87-pp6c-29x5 and GHSA-494j-54xm-rwp3
The CI lockfile scan failed on all three advisories against 3.14.3; each is
fixed in 3.14.4.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 12:16:10 -07:00
Victor KuznetsovandClaude Opus 5.5 de6fe3d549 Bump aiohttp to 3.14.5 for GHSA-5wr8-gcqf-gqf3, GHSA-2g87-pp6c-29x5 and GHSA-494j-54xm-rwp3
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 11:58:05 -07:00
Victor KuznetsovandClaude Opus 5.5 7e167c3c76 Fail closed on unreadable inputs, empty batches and failed strips
The metadata scanners read raw bytes, so random bytes, an empty file or a
truncated PNG or MP4 printed the same "No AI metadata found" or "AI metadata
stripped" a real file gets, with exit 0. `metadata.unreadable_reason` is now
the one readability probe: `identify`, `metadata` and every `video` command
exit 1 on such input, and `batch` and `video batch` fail its row.
`strip_and_verify` refuses it before writing anything.

A `batch` or `video batch` directory with no supported file exits 2 and
creates no output directory. `visible` and `erase` strip and verify on a
staged sibling and publish nothing when a marker survives, as the library
`remove_visible` now does; the diffusion writer raises on a surviving
marker. An invisible engine that cannot start exits 1 without a traceback,
and the MCP server reports a child that could not start.

NotebookLM and Gemini slide-deck templates are recorded as not planned.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 11:23:59 -07:00
Victor KuznetsovandClaude Opus 5.5 7e3563b879 Blank ISOBMFF provenance boxes in place so HEIF iloc offsets stay valid
strip_c2pa_boxes dropped a top-level C2PA uuid, AI-label XMP uuid or jumb
box. When that box precedes mdat, dropping it moves the coded data while
HEIF iloc and MP4 stco/co64 still hold the old absolute offsets, so a phone
HEIC laid out as ftyp, uuid (C2PA), mdat, meta came out undecodable.
Turn the box into a same-size free box with a zeroed payload instead, as
strip_isobmff_media_file already does for MP4/MOV.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 11:08:39 -07:00
Victor Kuznetsov 76462f9916 Drive login-free web oracles through Playwright with a fresh proxy session
Gemini stays on the existing Chrome account. SynthID Detector starts as an
anonymous Playwright page and continues in that Chrome only when the page
asks for sign-in. Each ThorData run picks a new Europe or US session.
2026-10-18 17:44:21 -07:00
Victor KuznetsovandClaude Opus 5.5 3818f40096 CLAUDE.md: document the C2PA soft-binding snapshot check in the gate
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-18 17:44:21 -07:00
Victor Kuznetsov 577d1bd953 Merge pull request #124 from wiltodelta/docs/glama-badge
Add the Glama MCP server badge to the README
2026-10-18 17:31:21 -07:00
Victor KuznetsovandClaude Opus 5.5 7376d278fd Add the Glama MCP server badge to the README
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-18 17:16:11 -07:00
Victor KuznetsovandClaude Opus 5.5 33a0e6c987 CLAUDE.md: document the C2PA soft-binding snapshot check in the gate
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-18 17:12:51 -07:00
Victor KuznetsovandClaude Opus 5.5 521831b972 Scope out plan-removable branding and LLM text watermarks
A visible mark is in scope when its vendor describes it as identifying
AI-generated content, whichever plan turns it off: the Gemini sparkle,
or the visible watermark Gemini Notebook (formerly NotebookLM) adds to
generated images and videos. Product branding that a paid plan of the
same product removes, such as "Made with Gamma", is out of scope.

Watermarks in LLM-generated text are out of scope: the Claude and
OpenAI marks live in word choice with no hidden characters, only a
substantial rewrite removes them, and their detectors are not public.

The skill states both boundaries, including the vendor-declared
exception so the Gemini sparkle is never refused, and moves to 1.0.13.
The Codex plugin version is now pinned to the Claude plugin's.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-17 22:33:51 -07:00
Victor KuznetsovandClaude Opus 5.5 66d793d1a6 State why no aggregate oracle pass rate is published
Tier D of the verification plan now says the project publishes no
pass rate per model or resolution: a sample that large needs bulk
automated checks, which OpenAI's API terms and the SynthID Detector's
additional terms (synthid.com/terms, read 2026-10-17) both forbid.
Removal claims rest on the method and on individual hash-bound rows.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-17 20:49:16 -07:00
Victor KuznetsovandClaude Opus 5.5 f0b2c2406e Publish to the MCP registry from CI with GitHub OIDC
publish-mcp-registry.yml lists server.json in the official MCP registry
on every published release, and on dispatch for a version already on
PyPI. GitHub OIDC proves the io.github.wiltodelta namespace, so no login
or stored secret is involved. It skips a version the registry already
lists, checks out only server.json at the release tag, requires both of
its versions to equal the release, waits for PyPI to serve it, runs a
pinned, checksum-verified mcp-publisher, and reads the entry back.

Tests run the lookup and manifest steps against stubbed replies; every
targeted mutation fails them. docs/development.md records a stale
worktree venv that mixes OpenCV 4.x and 5.x into one cv2 package.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-17 20:14:55 -07:00
52 changed files with 1671 additions and 535 deletions

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@@ -6,7 +6,7 @@
},
"metadata": {
"description": "Agent skill and Claude Code plugin for the remove-ai-watermarks CLI.",
"version": "1.0.12"
"version": "1.0.13"
},
"plugins": [
{
+43 -26
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@@ -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.
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.
`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 provider check may use the finite set of configured account slots and surfaces
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.
@@ -39,38 +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. A request to use a provider covers every configured surface, including Web,
without a second confirmation. An API refusal, quota response, transport error, or
indeterminate verdict stays on that surface and never silently submits the file to Web.
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. Gemini uses an explicit `/u/N/` account index. The SynthID Detector at
`https://synthid.com/` (`synthid-web`) uses the same Chrome profile and does not take a
`/u/N/` index; its terms forbid driving the page as an automated API. 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.
@@ -92,7 +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
+100 -78
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@@ -1,54 +1,65 @@
---
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, or a new network route require authorization.
The oracles and slots already configured for the requested provider may be used
again, including their Web surfaces, without a second confirmation. 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. For OpenAI and Microsoft, the default plans are API then Web.
Google and Meta currently have only usable Web routes in this tooling. Google's
routes are `gemini-web` and `synthid-web`. Inspect the order with `plan PROVIDER`.
The same request may use every configured surface.
The priority is a selection policy, not automatic failover. An API refusal,
quota response, transport error, or indeterminate verdict must be recorded and
reported. The same request already covers every configured surface of that
provider, including Web. Run Web as its own acknowledged check and keep its
verdict separate. Do not replace the API result with the Web result.
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
@@ -69,10 +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
@@ -84,34 +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.
### SynthID Detector
Use the user's real authenticated Chrome. Do not use isolated Playwright: the
portal's additional terms forbid using the page as an automated API, bulk
verification, and quota evasion.
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 names `browser_profile` and `account_label`.
It does not use `google_account_index` or a proxy variable.
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. Open `https://synthid.com/` in the named Chrome profile. Accept the terms
dialog when it is shown. Do not start a new login. If the page requires
sign-in and that profile has no session, leave the row unsubmitted.
4. Attach one prepared upload through the page's own file control.
5. Read the settled label. `Watermark detected` is `detected`. `Watermark not
detected` is `not_detected`. Quota, sign-in, and unclear wording stay
`refused` or `indeterminate`.
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, and Meta Web
### OpenAI, Microsoft, Meta, and SynthID Detector Web
Use the isolated Playwright runner, never the user's real Chrome:
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 \
@@ -122,41 +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
@@ -167,8 +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
+10 -4
View File
@@ -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.
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "remove-ai-watermarks",
"version": "1.0.12",
"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",
+142
View File
@@ -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
+4 -3
View File
@@ -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).
@@ -32,11 +33,11 @@ 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).
+1
View File
@@ -32,6 +32,7 @@ removal.
[![Tests](https://github.com/wiltodelta/remove-ai-watermarks/actions/workflows/test.yml/badge.svg)](https://github.com/wiltodelta/remove-ai-watermarks/actions/workflows/test.yml)
[![Sponsor](https://img.shields.io/badge/Sponsor-GitHub-db61a2?logo=githubsponsors&logoColor=white)](https://github.com/sponsors/wiltodelta)
[![skills.sh](https://skills.sh/b/wiltodelta/remove-ai-watermarks)](https://skills.sh/wiltodelta/remove-ai-watermarks)
[![Glama MCP server](https://glama.ai/mcp/servers/wiltodelta/remove-ai-watermarks/badges/score.svg)](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
+3 -2
View File
@@ -705,8 +705,9 @@ the tool contract are in the [MCP server guide](mcp-server.md).
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
View File
@@ -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.
+3 -2
View File
@@ -621,8 +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
+15
View File
@@ -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.
+7 -3
View File
@@ -58,7 +58,10 @@ 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, which is unknown rather than clean.
`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.
@@ -87,5 +90,6 @@ default mode, receives method-not-found and falls back to the handshake.
`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. Publishing steps
are in [release and distribution](release-and-distribution.md#mcp-registry).
[`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).
+36 -3
View File
@@ -50,7 +50,32 @@ Important contracts:
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`.
- 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. The diffusion
writer behind `invisible` stages the same way and raises with nothing published
(fixed 2026-10-19; it used to leave the marked file at the output path).
`_internal.utils.staged_sibling` is the shared stage: it never pre-creates the
name, so the published file keeps the default permissions. These writers strip
through `metadata.strip_written_output`, which skips the readability probe:
the file is the package's own encode, and the probe's full decode doubled the
cost of the strip (decided 2026-10-19).
- 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
@@ -241,9 +266,17 @@ 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 apart from the Kling SEI tag below, and
source-sized memory bound.
Publication is atomic, and a malformed top-level walk is copied unchanged. A
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
@@ -822,7 +855,7 @@ 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
+89 -102
View File
@@ -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.
@@ -13,8 +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 |
| `synthid-web` | Partner SynthID | SynthID Detector at synthid.com, real Chrome | None recorded |
| `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 |
@@ -25,7 +25,7 @@ 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 each of their Web surfaces is primary. Google has two: `gemini-web`
and `synthid-web`.
and `synthid-web` at `https://synthid.com/`.
Inspect the machine-readable order before preparing a batch:
@@ -35,12 +35,15 @@ uv run python scripts/provider_oracles.py plan microsoft
uv run python scripts/provider_oracles.py plan google
```
A request to use a provider covers every configured surface of that provider,
including Web, without a second confirmation. API-first is still the order to
try, not a lock on the other surfaces. An API refusal, quota response, transport
failure, or indeterminate verdict is recorded as-is. It does not silently
upload the same file to Web; run that surface as its own acknowledged check and
keep the two verdicts separate.
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 at `labs.google/synthid` does not work.
On 2026-09-07 that entry point redirected a signed-in browser to a Google 404;
@@ -60,10 +63,14 @@ and Kakao, and it did not list Apple. It defined two settled labels:
`.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 using the page as an automated API, bulk verification, and quota evasion,
so `run-web` does not drive it. Use the real Chrome workflow below. A
`Watermark detected` result is partner SynthID, not a Gemini-only or OpenAI-only
verdict.
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
@@ -218,43 +225,20 @@ default; `--slots PATH` explicitly overrides it.
"network_label": "office"
},
{
"name": "synthid-personal",
"name": "synthid-proxy",
"surface": "synthid-web",
"account_label": "google-account-a",
"browser_profile": "Your Chrome",
"network_label": "home"
"account_label": null,
"browser_profile": null,
"network_label": "thordata",
"proxy_url_env": "THORDATA_PROXY"
},
{
"name": "openai-web-thordata-us",
"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",
@@ -292,30 +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. A
SynthID Detector slot names the account and the same real Chrome profile, and it
does not use `google_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, or a new network route needs
authorization. The oracles and slots already configured for the requested
provider may be used again, including their Web surfaces, without a second
confirmation. 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:
@@ -324,29 +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:
@@ -419,16 +405,18 @@ uv sync --extra dev
uv run playwright install chromium
```
Google is intentionally excluded from the standalone runner. Both `gemini-web`
and `synthid-web` use the user's existing real Chrome profile, and the SynthID
Detector terms forbid driving that page as an automated API. Invoke the project
`provider-oracles` skill to prepare the batch and record the settled outcome.
For Gemini, select the named profile and `/u/N/` account. For SynthID Detector,
open `https://synthid.com/` in that profile. The portal has no `/u/N/` index.
Accept the terms dialog when it is shown, attach one prepared upload, and read
the explicit `Watermark detected` or `Watermark not detected` label. If the page
requires sign-in and that profile has no session, record the row unsubmitted
and do not start a new login.
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.
For Gemini, ask the direct question stored in the batch manifest: `Does this
image/video/audio contain a SynthID watermark? Use the SynthID verification
@@ -437,8 +425,8 @@ 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. 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 \
@@ -449,8 +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 \
@@ -467,12 +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
@@ -489,7 +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
View File
@@ -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
+6 -7
View File
@@ -227,14 +227,13 @@ submission state and links live in
`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; after PyPI publishes a version:
is not a release surface that blocks a release.
1. `mcp-publisher login github` with an account that owns `wiltodelta`;
2. `mcp-publisher validate` and then `mcp-publisher publish` from the
repository root;
3. read the entry back from
`https://registry.modelcontextprotocol.io/v0/servers?search=io.github.wiltodelta/remove-ai-watermarks`
and check its version.
[`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).
+3 -1
View File
@@ -579,7 +579,9 @@ 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`. The old limited portal does
`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
+8 -2
View File
@@ -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
@@ -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.
+8
View File
@@ -134,6 +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
+1 -1
View File
@@ -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 = "0.46.0"
version = "0.47.0"
description = "AI watermark remover for visible, invisible, and provenance marks in images and video"
readme = "README.md"
requires-python = ">=3.11,<3.15"
@@ -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. |
+83 -14
View File
@@ -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)
@@ -296,11 +369,7 @@ def run_web_batch(
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)
+10 -7
View File
@@ -175,18 +175,18 @@ SURFACES: dict[str, OracleSurface] = {
provider="Google",
signal_family="synthid",
surface="SynthID Detector",
automation="real_browser",
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 only for "
"Watermark 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."
"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=True,
account_slots=False,
network_slots=True,
),
"meta-web": OracleSurface(
@@ -444,6 +444,7 @@ def load_slots(path: Path) -> dict[str, ExecutionSlot]:
raise ValueError(f"API surface {surface_key} does not use a browser_profile")
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:
@@ -894,6 +895,8 @@ def plan(provider: str, as_json: bool) -> None:
return
for row in rows:
click.echo(f"{row['preference']}\t{row['key']}\t{row['automation']}\t{row['surface']}")
if len(rows) > 1:
click.echo("This command only prints the order. After a failure, run the next surface as its own command.")
@cli.command()
@@ -1035,7 +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(
+2 -2
View File
@@ -3,7 +3,7 @@
"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",
"version": "0.47.0",
"repository": {
"url": "https://github.com/wiltodelta/remove-ai-watermarks",
"source": "github"
@@ -14,7 +14,7 @@
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"identifier": "remove-ai-watermarks",
"version": "0.46.0",
"version": "0.47.0",
"runtimeHint": "uvx",
"transport": {
"type": "stdio"
+1 -1
View File
@@ -1,7 +1,7 @@
{
"name": "remove-ai-watermarks",
"displayName": "Remove AI Watermarks",
"version": "1.0.12",
"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",
+12 -6
View File
@@ -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: "1.0.12"
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
@@ -150,8 +150,8 @@ commands above directly.
| 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.
+1 -1
View File
@@ -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, 46, 0)
MIN_CLI_VERSION = (0, 47, 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.
+1 -1
View File
@@ -35,7 +35,7 @@ _os.environ.setdefault("TRANSFORMERS_VERBOSITY", "error")
_warnings.filterwarnings("ignore", message=r".*ImageProcessorFast.*")
__version__ = "0.46.0"
__version__ = "0.47.0"
__all__ = [
"BatchItemResult",
+12 -2
View File
@@ -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()
+24 -13
View File
@@ -736,10 +736,17 @@ def strip_isobmff_media_file(
return len(targets), len(tc260_key_spans | ai_metadata_key_spans | app_key_spans) + bool(kling_sei_offsets)
def strip_c2pa_boxes(data: bytes) -> tuple[bytes, int]:
"""Return ``(cleaned_bytes, stripped_count)`` with AI-provenance boxes removed.
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)
Walks top-level boxes and drops:
def strip_c2pa_boxes(data: bytes) -> tuple[bytes, int]:
"""Return ``(cleaned_bytes, stripped_count)`` with AI-provenance boxes blanked.
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
@@ -747,10 +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
@@ -764,17 +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`
@@ -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)
@@ -212,14 +212,18 @@ class WatermarkRemover:
import numpy as np
from remove_ai_watermarks import image_io
from remove_ai_watermarks._internal.utils import staged_sibling
from remove_ai_watermarks.metadata import strip_written_output
output_path.parent.mkdir(parents=True, exist_ok=True)
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
remove_ai_metadata(output_path, output_path, keep_standard=True)
# Staged and verified, so a marker that survives fails the run with nothing
# published at output_path.
with staged_sibling(output_path) as staged:
if not image_io.imwrite(str(staged), bgr, display_tags_from=display_tags_from):
image.save(staged)
if leftover := strip_written_output(staged):
raise RuntimeError(f"AI metadata survived the strip: {', '.join(sorted(leftover))}")
def remove_watermark(
self,
+21 -18
View File
@@ -132,33 +132,35 @@ 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_written_output
metadata.remove_ai_metadata(out_path, out_path)
if leftover := strip_written_output(staged):
raise MetadataStripIncomplete(set(leftover))
def remove_visible(
@@ -461,7 +463,7 @@ def remove_all(
import tempfile
from remove_ai_watermarks import image_io, watermark_registry
from remove_ai_watermarks.metadata import strip_and_verify
from remove_ai_watermarks.metadata import strip_written_output
def say(stage: str, detail: str) -> None:
if progress is not None:
@@ -516,8 +518,7 @@ def remove_all(
# ── 3. AI metadata ──
# Read the pristine ORIGINAL for provenance above and the STAGED file here:
# the visible pass has already dropped this file's C2PA.
_, leftover = strip_and_verify(staged, staged)
if leftover:
if leftover := strip_written_output(staged):
# Before the write, on purpose -- see MetadataStripIncomplete.
raise MetadataStripIncomplete(set(leftover))
say("metadata", "stripped")
@@ -676,7 +677,9 @@ 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 +688,7 @@ 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)
+80 -42
View File
@@ -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_written_output
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_written_output(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)")
@@ -937,13 +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
@@ -1052,6 +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)
@@ -1064,14 +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()
@@ -1440,6 +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}")
@@ -1488,6 +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()
@@ -1534,6 +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) ──
@@ -1824,13 +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}")
@@ -1859,6 +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,
@@ -1867,7 +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,
)
+8 -3
View File
@@ -207,7 +207,11 @@ def call_tool(name: str, arguments: dict[str, Any], runner: Runner = run_cli) ->
args, output = _COMMANDS[name](_validated(name, arguments))
except ToolInputError as exc:
return {"content": [{"type": "text", "text": f"Invalid arguments: {exc}"}], "isError": True}
completed = runner(args)
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:]
@@ -219,13 +223,14 @@ def call_tool(name: str, arguments: dict[str, Any], runner: Runner = run_cli) ->
structured["stdout"] = text
if stderr:
structured["stderr"] = stderr
# The CLI's own exit 2 means no supported signal, a result. Click also exits 2 on
# 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; this is unknown, not proof the file is clean)"
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}
+113 -4
View File
@@ -1856,6 +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,
@@ -1866,10 +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
@@ -1878,6 +1966,27 @@ 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}")
return _strip_and_rescan(source_path, output_path, keep_standard=keep_standard)
def strip_written_output(path: Path, *, keep_standard: bool = True) -> dict[str, str]:
"""Strip ``path`` in place and return the markers that survived.
For a file whose pixels this run has already decoded or written itself, so the
readability probe that :func:`strip_and_verify` runs first would only decode
them a second time.
"""
return _strip_and_rescan(path, path, keep_standard=keep_standard)[1]
def _strip_and_rescan(
source_path: Path,
output_path: Path | None,
*,
keep_standard: bool,
) -> tuple[Path, dict[str, str]]:
out = remove_ai_metadata(source_path, output_path, keep_standard=keep_standard)
remaining = get_ai_metadata(out)
if not remaining:
+9 -4
View File
@@ -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
@@ -714,13 +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
+1 -1
View File
@@ -347,7 +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),
+1 -1
View File
@@ -430,7 +430,7 @@ class TestRemoveAllLibrary:
from remove_ai_watermarks import api, invisible_engine, metadata
monkeypatch.setattr(invisible_engine, "is_available", lambda: False)
monkeypatch.setattr(metadata, "strip_and_verify", lambda src, dst: (dst, {"c2pa"}))
monkeypatch.setattr(metadata, "strip_written_output", lambda _path: {"c2pa": "survived"})
out = tmp_path / "clean.png"
with pytest.raises(api.MetadataStripIncomplete, match="c2pa"):
+9 -15
View File
@@ -675,10 +675,7 @@ class TestAllCommand:
# The no-signal gate lives in the library now; patch it there, not on the
# CLI module, or the diffusion stage runs for real.
patch("remove_ai_watermarks.api._SourceEvidence.has_invisible_target", return_value=False),
patch(
"remove_ai_watermarks.metadata.strip_and_verify",
return_value=(tmp_path / "intermediate.png", {"c2pa": True}),
),
patch("remove_ai_watermarks.metadata.strip_written_output", return_value={"c2pa": "survived"}),
):
result = runner.invoke(main, ["all", str(sample_png), "-o", str(output)])
@@ -867,7 +864,7 @@ 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 +1306,10 @@ 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"
@@ -1320,12 +1317,9 @@ 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(
+1 -1
View File
@@ -31,7 +31,7 @@ def test_manifest_carries_every_field_the_catalog_validator_requires() -> None:
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", "description", "repository", "license", "homepage"):
for field in ("name", "version", "description", "repository", "license", "homepage"):
assert manifest[field] == claude[field], field
+334
View File
@@ -0,0 +1,334 @@
"""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")
assert list(tmp_path.iterdir()) == [], "an output that kept its AI metadata was published"
@pytest.mark.parametrize("command", ["erase", "remove_visible", "invisible_writer"])
def test_an_output_the_package_just_wrote_is_not_probed_again(self, tmp_path, clean_png, monkeypatch, command):
"""The readability probe decodes every pixel; on our own encode it is pure waste."""
from PIL import Image
from remove_ai_watermarks._internal.watermark_remover import WatermarkRemover
from remove_ai_watermarks.api import remove_visible
probed: list[Path] = []
real = metadata.unreadable_reason
monkeypatch.setattr(metadata, "unreadable_reason", lambda path: probed.append(path) or real(path))
out = tmp_path / "out.png"
if command == "erase":
result = _invoke(["erase", "--region", "2,2,10,10", str(clean_png), "-o", str(out)])
assert result.exit_code == 0, result.output
elif command == "remove_visible":
remove_visible(clean_png, out, write_noop=True)
else:
object.__new__(WatermarkRemover)._write_output(Image.new("RGB", (16, 16)), out)
assert out.exists()
assert [p for p in probed if p.name != clean_png.name] == []
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"]
+1 -1
View File
@@ -185,7 +185,7 @@ def test_only_failures_are_tool_errors(returncode: int, stderr: str, is_error: b
assert result["isError"] is is_error
assert result["structuredContent"]["exit_code"] == returncode
assert ("not proof the file is clean" in result["content"][0]["text"]) is (returncode == 2 and not is_error)
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"]
+105 -14
View File
@@ -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
+2 -2
View File
@@ -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."""
+84 -19
View File
@@ -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",
}
]
@@ -392,14 +444,12 @@ def test_run_web_batch_requires_explicit_upload_acknowledgement(
web.run_web_batch(manifest_path, acknowledge_uploads=False)
@pytest.mark.parametrize("surface", ["gemini-web", "synthid-web"])
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,
surface: str,
) -> None:
manifest_path = oracles.prepare_batch(
surface,
"gemini-web",
[tmp_clean_png],
output_dir=tmp_path / "oracle-batch",
repository_root=oracles.REPOSITORY_ROOT,
@@ -407,3 +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)
+71 -10
View File
@@ -36,7 +36,8 @@ def test_catalog_covers_every_project_vendor_oracle_surface() -> None:
"do not infer from visible content, logos, text, or metadata."
)
synthid = oracles.SURFACES["synthid-web"]
assert synthid.automation == "real_browser"
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")
@@ -84,9 +85,9 @@ def test_plan_json_keeps_every_google_web_surface_primary() -> None:
assert result.exit_code == 0, result.output
payload = json.loads(result.output)
assert [(row["key"], row["preference"]) for row in payload] == [
("gemini-web", "primary"),
("synthid-web", "primary"),
assert [(row["key"], row["preference"], row["url"]) for row in payload] == [
("gemini-web", "primary", "https://gemini.google.com/"),
("synthid-web", "primary", "https://synthid.com/"),
]
@@ -101,6 +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(
@@ -140,6 +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",
},
],
}
),
@@ -153,7 +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"
@@ -192,6 +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)
@@ -278,25 +329,35 @@ def test_slots_override_requires_a_named_slot(tmp_path: Path) -> None:
),
(
{
"name": "synthid-no-profile",
"name": "synthid-with-profile",
"surface": "synthid-web",
"account_label": "personal-a",
"browser_profile": None,
"account_label": None,
"browser_profile": "Profile 2",
"network_label": "home",
},
"requires a browser_profile",
"only a real-browser surface uses a browser_profile",
),
(
{
"name": "synthid-with-account-index",
"surface": "synthid-web",
"account_label": "personal-a",
"browser_profile": "Profile 2",
"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(
+58
View File
@@ -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"}
+1 -1
View File
@@ -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):
Generated
+104 -103
View File
@@ -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" },
]
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