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wiltodelta/remove-ai-watermarks
Remove visible and invisible AI watermarks from images and video, and AI provenance metadata from images, video, and audio. Python library, CLI, and agent skill for SynthID, C2PA, EXIF, IPTC, XMP, and common generative-AI marks.
SECURITY.md ✓
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"wiltodelta-remove-ai-watermarks": {
"command": "npx",
"args": ["skills"]
}
}
}Parsed from the README we fetched on 2026-10-26; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"wiltodelta-remove-ai-watermarks": {
"command": "npx",
"args": ["skills"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio wiltodelta-remove-ai-watermarks -- npx skills
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Star count
- 6,377 ★ · wiltodelta/remove-ai-watermarks · read from the GitHub search API · (checked 2026-11-13 20:00:50)
- Source
- collected from the punkpeye/awesome-mcp-servers list · type: MCP server
- Harvest history
- first seen 2026-10-23 · last seen 2026-11-14 · seen 26× · listed by 23 sources
- Score
- score 2,300 · 6,377 ★ · 23 sources · mcp
- Install
npx skills
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx skills. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository
wiltodelta/remove-ai-watermarks；first catalogued 2026-10-23；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.# Remove AI Watermarks
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Remove AI provenance marks from images and video you generated yourself:
known visible labels such as the Google Gemini sparkle watermark and vendor text marks;
invisible pixel watermarks through direct local-format disruption or diffusion regeneration;
C2PA, EXIF, XMP, IPTC, and related AI metadata.
| Before | After |
bash
uv tool install "remove-ai-watermarks[visible]" # CLI for visible marks and metadata
npx skills add wiltodelta/remove-ai-watermarks # agent skill for Claude Code, Codex, Cursor, and other agents
Video support covers provenance identification, complete visible-plus-metadata
cleaning, directory batches, visible Sora, Veo, Seedance, Doubao, Dola,
Hailuo AI, and Kling AI mark removal, and oracle-certified VAE regeneration for video SynthID
removal.
> raiw.cc runs this library as a hosted service, with the GPU
> included and nothing to install. Visible mark and metadata removal at Standard
> output up to 12 MP are free there; original resolution above 12 MP and invisible
> watermark removal are paid.
> 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
> responsible for how they use it. It does not target stock agency previews or
> other watermarks that protect third party paid content. Some jurisdictions,
> including China, restrict removing AI labels or supplying tools that do. See
> scope, safety, and legal notes.
## Choose what you want to do
| Goal | Command | GPU |
| Find provenance signals and watermarks | identify | No |
| Classify a photograph from pixels (opt-in, not provenance) | classify | No |
| Remove known visible AI marks | visible | No |
| Erase a region you select | erase | No |
| Strip AI metadata | metadata | No |
| Identify supported video provenance | video identify | No |
| Remove visible marks and AI metadata from video | video all | No |
| Strip AI metadata from video | video metadata | No |
| Remove a registered visible AI mark from video | video visible | No |
| Process a directory of videos | video batch | Depends on mode |
| Apply the calibrated video-pixel SynthID-removal profile | video invisible | Recommended |
| Regenerate an image to disrupt invisible watermarks | invisible | Required (CUDA) |
| Run visible, invisible, and metadata removal | all | Recommended |
| Process a directory | batch | Depends on mode |
Microsoft Paint and Photos InvisMark declarations are routed automatically to
pixel regeneration. The all command removes both the hidden pixel watermark and
its linked C2PA manifest; metadata stripping alone removes only the manifest. A
specialized Python API can inspect and disrupt the validated local
Watermarker.dll payload without diffusion.
## Installation modes
| Need | Install |
| Metadata inspection and stripping | remove-ai-watermarks |
| Photograph AI-versus-camera classification | remove-ai-watermarks[classify] |
| OpenAI/Google/unknown source-export classification | remove-ai-watermarks[source-classify] |
| Visible detection and removal | remove-ai-watermarks[visible] |
| Visible video processing | remove-ai-watermarks[video] |
| Video SynthID removal | remove-ai-watermarks[video,diffusion] |
known visible labels such as the Google Gemini sparkle watermark and vendor text marks;
invisible pixel watermarks through direct local-format disruption or diffusion regeneration;
C2PA, EXIF, XMP, IPTC, and related AI metadata.
| Before | After |
bash
uv tool install "remove-ai-watermarks[visible]" # CLI for visible marks and metadata
npx skills add wiltodelta/remove-ai-watermarks # agent skill for Claude Code, Codex, Cursor, and other agents
Video support covers provenance identification, complete visible-plus-metadata
cleaning, directory batches, visible Sora, Veo, Seedance, Doubao, Dola,
Hailuo AI, and Kling AI mark removal, and oracle-certified VAE regeneration for video SynthID
removal.
> raiw.cc runs this library as a hosted service, with the GPU
> included and nothing to install. Visible mark and metadata removal at Standard
> output up to 12 MP are free there; original resolution above 12 MP and invisible
> watermark removal are paid.
> 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
> responsible for how they use it. It does not target stock agency previews or
> other watermarks that protect third party paid content. Some jurisdictions,
> including China, restrict removing AI labels or supplying tools that do. See
> scope, safety, and legal notes.
## Choose what you want to do
| Goal | Command | GPU |
| Find provenance signals and watermarks | identify | No |
| Classify a photograph from pixels (opt-in, not provenance) | classify | No |
| Remove known visible AI marks | visible | No |
| Erase a region you select | erase | No |
| Strip AI metadata | metadata | No |
| Identify supported video provenance | video identify | No |
| Remove visible marks and AI metadata from video | video all | No |
| Strip AI metadata from video | video metadata | No |
| Remove a registered visible AI mark from video | video visible | No |
| Process a directory of videos | video batch | Depends on mode |
| Apply the calibrated video-pixel SynthID-removal profile | video invisible | Recommended |
| Regenerate an image to disrupt invisible watermarks | invisible | Required (CUDA) |
| Run visible, invisible, and metadata removal | all | Recommended |
| Process a directory | batch | Depends on mode |
Microsoft Paint and Photos InvisMark declarations are routed automatically to
pixel regeneration. The all command removes both the hidden pixel watermark and
its linked C2PA manifest; metadata stripping alone removes only the manifest. A
specialized Python API can inspect and disrupt the validated local
Watermarker.dll payload without diffusion.
## Installation modes
| Need | Install |
| Metadata inspection and stripping | remove-ai-watermarks |
| Photograph AI-versus-camera classification | remove-ai-watermarks[classify] |
| OpenAI/Google/unknown source-export classification | remove-ai-watermarks[source-classify] |
| Visible detection and removal | remove-ai-watermarks[visible] |
| Visible video processing | remove-ai-watermarks[video] |
| Video SynthID removal | remove-ai-watermarks[video,diffusion] |
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- Source
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