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Align watermark content with detector coverage

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Victor Kuznetsov
2026-08-27 20:05:03 -07:00
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61 changed files with 933 additions and 198 deletions
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README.md
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@@ -2,7 +2,7 @@
Remove AI provenance marks from images and video you generated yourself:
- known visible labels such as the Gemini sparkle and vendor text marks;
- known visible labels such as the Google Gemini sparkle watermark and vendor text marks;
- invisible pixel watermarks through diffusion regeneration;
- C2PA, EXIF, XMP, IPTC, and related AI metadata.
@@ -169,8 +169,8 @@ the specificity order shown below. Pass an explicit mark to restrict detection
to one provider.
Sora covers the moving Sora 2 mascot and wordmark. Veo covers both the current
four-point diamond and the legacy `Veo` text. Seedance covers the fixed boxed
`AI` label, Dola covers the fixed `Dola AI` text, Hailuo covers the composite
`MINIMAX | hailuo AI` label, and Kling covers the bottom-right `KLING AI`
`AI` label, Dola covers the fixed `Dola AI` text, Hailuo AI covers the composite
`MINIMAX | hailuo AI` label, and Kling AI covers the bottom-right `KLING AI`
label with its version suffix. A completed encode is published atomically. No
output is written when no stable mark is found.
HDR, PQ/HLG, and greater-than-8-bit inputs are rejected before encoding rather
@@ -321,6 +321,7 @@ Visible mark support includes:
- Google Gemini and Nano Banana visible sparkle watermark;
- Doubao, Jimeng, Qwen, Kling AI, Yuanbao, Baidu, LiblibAI, and RunningHub labels;
- one calibrated Microsoft top-right white AI-badge variant;
- one calibrated Samsung Galaxy AI label variant.
Metadata and provenance inspection covers C2PA, EXIF, XMP, IPTC, common
@@ -404,7 +405,7 @@ invisible removal.
detail.
- Visible video removal recognizes the moving Sora 2 wordmark, the current Veo
diamond plus legacy `Veo` text, the Seedance boxed `AI` label, and the fixed
Dola, Hailuo, and Kling labels. It does not recognize the older Sora Turbo
Dola, Hailuo AI, and Kling AI labels. It does not recognize the older Sora Turbo
corner swirl or unregistered layouts from those providers.
The classical OpenCV backend can smear structured backgrounds; use MI-GAN or
LaMa when recovery quality matters.