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Watermarks Remover
Watermarks Remover is a privacy-first agent skill and Python service that strips multi-vendor AI watermarks from text and files.
Watermarks Remover is an agent skill and standard library Python service designed to strip multi-vendor AI provenance marks from text and files for privacy and content hygiene. It removes invisible Unicode characters, statistical text watermarks, C2PA, EXIF, XMP, and document properties. Supported file types include PNG, JPEG, WebP, AVIF, HEIC, BMP, GIF, TIFF, SVG, PDF, DOCX, XLSX, PPTX, EPUB, ODT, HTML, Markdown, MP4, MOV, M4A, M4V, WAV, MP3, FLAC, and SVG. The software targets ecosystems like Claude, Gemini with SynthID-Text, OpenAI provenance surfaces, and open-LLM green-list or keyed-Gumbel marks. It runs as a thin client skill communicating with a Python service over HTTP.
Watermarks Remover at a glance
Key features
- Strips invisible Unicode, exotic spaces, and tag characters
- Removes statistical token-sampling text watermarks
- Cleans C2PA, EXIF, XMP, and document properties
- Supports text, image, audio, video, and document formats
- Includes automatic file cleaning via hook integration
- Provides optional text-only self-contained skill
- Runs via Python 3.10 standard library without dependencies
Use it for
- Stripping AI provenance marks from owned documents
- Cleaning metadata from generated images and media files
- Removing invisible tracking marks from source code and text
- Automating watermark removal through pre-commit hooks
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