guillaumemeyer/watermarks-remover
Strip multi-vendor AI provenance marks: Unicode text hygiene, statistical rewrite hooks, and C2PA/metadata from PNG/JPEG/SVG/PDF/DOCX/HTML/MD observed · 2026-08-28
Health v2 · maintenance only
79/100
- Activity 99
- Release rhythm 99
- Longevity 1
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 22
- days_rel: 7
- days_push: 7
- n_releases_24m: 8
Adoption not part of the score
18542 stars · 2155 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A privacy-first Python service plus agent skill that strips multi-vendor AI provenance marks (C2PA, EXIF/XMP metadata, invisible Unicode, and statistical text watermarks) from files and text the user owns. It supports many formats including PNG, JPEG, SVG, PDF, DOCX, HTML, Markdown, and media files, and integrates as a Claude Code plugin/skill driving the service over HTTP.
Use cases
- remove AI watermarks from my own generated images
- strip C2PA provenance metadata from PNG and JPEG files
- clean invisible Unicode and bidi characters from AI-generated text
- remove SynthID-style statistical watermarks from text
- sanitize EXIF and XMP metadata from documents and media
- integrate watermark removal into Claude Code as an agent skill
- strip metadata from PDF, DOCX, and EPUB files
When to choose
- you need to remove AI provenance marks and metadata from content you own
- you want a dependency-free Python stdlib service covering many file formats
- you want watermark removal available as an agent skill or CLI
- you need to clean invisible Unicode characters from text
When to avoid
- you want to add or verify watermarks rather than remove them
- you need to strip provenance from content you do not own or have rights to
- you need a GUI application rather than a service or CLI
- you require guaranteed removal of all watermarking schemes, since statistical watermarks may only be reduced
Facets
service · maturity active
privacy security cli http-server nlp image-processing pdf file-system privacy security files pdf developer-tools artificial-intelligence python cli cross-platform self-hosted watermark-removal c2pa synthid ai-provenance agent-skill claude-code metadata-stripping unicode-hygiene exif content-hygiene natural-language-processing docker
2 sources
- readme: https://github.com/guillaumemeyer/watermarks-remover · fetched 2026-08-28 · d81b7155a1a2
- homepage: https://github.com/guillaumemeyer/watermarks-remover · fetched 2026-08-29 · 0709122bd92f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| guillaumemeyer/watermarks-remover | main | 79 |
For agents
markdown · JSON · MCP: product_card(name="guillaumemeyer/watermarks-remover")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem