guillaumemeyer/watermarks-remover
A privacy-first app that strips AI watermarks from content you own.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
Loading star history...
Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #11 among AI repositories ranked this week; #69 of 163 repositories with measured growth this week (top 42%).
4 releases in the last 90 days, the latest 68 days ago, with 53 contributors on GitHub.
Peaked at #69 in the weekly ranking the week of Nov 8, its best in the past year.
Use Cases & Benefits
- Strips multi-vendor AI watermarks from text, images, audio, video, and document files you own to protect privacy and content hygiene.
- Offers a privacy-first, extensible HTTP service with layered watermark removal techniques supporting diverse formats and AI provenance marks.
- Use for removing invisible Unicode and statistical AI watermarks from text documents to ensure clean, unmarked content.
- Use for stripping embedded metadata and provenance marks from images, PDFs, and office documents to prevent AI watermark detection.
- Use for integrating automated watermark detection and removal hooks in AI agent workflows and CI pipelines for secure content handling.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Agent skill + stdlib Python service to strip multi-vendor AI provenance marks from text and files — for privacy and hygiene on content you own. The skill is a thin client: it drives the machinery over HTTP, so the agent host needs no Python.
Vendors / ecosystems (class-level): Claude, Gemini / SynthID-Text, OpenAI provenance surfaces, open-LLM Kirchenbauer-style (green-list) and keyed-Gumbel / EXP (Aaronson) marks.
Skill path:
skills/remove-ai-marks/Service path:service/(migration: formerlyremove-claude-marks; slash alias/remove-claude-marksstill documented)The skill ships no code — it calls the service over HTTP. Install the skill (markdown only) and start the service, then set
WATERMARKS_SERVICE_URLif it is nothttp://127.0.0.1:8765.In Claude Code, the fastest route is the bundled plugin marketplace — no clone, and it updates in place. Everywhere else, one installer covers every supported host (Python 3.10+ stdlib, no dependencies):
Shipped skills:
remove-ai-marks(full, service-backed) andclean-user-facing-text(text only, self-contained).--listprints them. Existing installations are preserved unless you pass--force; replacement is staged first and the previous install is kept as a uniquely named backup.--linksymlinks this checkout instead of copying, so edits are picked up live. On Windows, usepy install_skill.py ...; theinstall-skill.shwrapper is provided for macOS/Linux shells.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+1,096 stars over 9 days across 9 snapshot days; best day +145 on Nov 11.
Forks
3.1K+118
Open issues
51+18
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| D4Vinci/Scrapling | 101.1K | +6.3K | 75 | 6 days ago |
| thedotmack/claude-mem | 115.8K | +4.7K | 75 | today |
| heygen-com/hyperframes | 82.3K | +4.0K | 75 | today |
| harry0703/MoneyPrinterTurbo | 142.0K | +3.8K | 75 | 3 days ago |
| github/spec-kit | 149.2K | +2.6K | 75 | today |
| guillaumemeyer/watermarks-remover | 27.0K | +864 | 75 | 68 days ago |
| Category median | 115.8K | +4.0K | 75 | — |
Discover Repositories
Search across tracked repositories by name or description