Tool · curated 28 Aug 2026
GitHub - 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
First reported github.com
Coverage timeline
Single-source analysis — first reported, latest, and curated coincide.
Why it matters
watermarks-remover undermines the AI content-provenance and watermarking systems defenders rely on to detect and attribute AI-generated content, and its agent-integrated hook shows how such evasion can be automated inside AI coding harnesses.
watermarks-remover is an open-source tool that strips multi-vendor AI provenance marks — including C2PA content credentials, statistical text watermarks, invisible Unicode markers, and metadata — from PNG/JPEG/SVG/PDF/DOCX/HTML/MD and audio/video files. It ships with a Claude plugin PostToolUse hook that automatically detects and removes provenance marks from files an AI agent writes, defeating attribution mechanisms like SynthID and C2PA.