# 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

Repository: https://github.com/guillaumemeyer/watermarks-remover
Canonical: https://ross.abutalabs.com/products/watermarks-remover
Homepage: https://github.com/guillaumemeyer/watermarks-remover
Language: Python
License: MIT
License Family: permissive
Topics: agent-skill, ai, c2pa, claude, provenance, synthid, watermark, anthropic, chatgpt, gemini, openai, watermark-detection, watermark-tools, watermarking, watermarks
Last push: 2026-08-26T23:10:35+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 99, longevity 1
- inputs: {"age_days": 22, "days_push": 7, "days_rel": 7, "gap_med": 0, "n_releases_24m": 8}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 18542, forks 2155 (observed 2026-08-28T04:11:26.689664+00:00)

## What it is
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
- artifact type: service
- maturity: active
- function: privacy, security, cli, http-server, nlp, image-processing, pdf, file-system
- domain: privacy, security, files, pdf, developer-tools, artificial-intelligence
- platform: python, cli, cross-platform, self-hosted
- tags: watermark-removal, c2pa, synthid, ai-provenance, agent-skill, claude-code, metadata-stripping, unicode-hygiene, exif, content-hygiene, natural-language-processing, docker

## Member repositories
- guillaumemeyer/watermarks-remover (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:26.689664+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:02:01.155815+00:00, confidence not recorded.
  - readme: https://github.com/guillaumemeyer/watermarks-remover (fetched 2026-08-28T04:11:26.689664+00:00, sha d81b7155a1a2)
  - homepage: https://github.com/guillaumemeyer/watermarks-remover (fetched 2026-08-29T07:59:31.152264+00:00, sha 0709122bd92f)
- Data as of 2026-08-30T08:39:29.467469+00:00.