C2pa Python Packages

meok-watermark-attest-mcp

EU AI Act Article 50 watermarking + transparency compliance MCP. Built for the 2 November 2026 cliff (the new nearest EU AI Act deadline after the Digital Omnibus pushed high-risk to Dec 2027). Classify which Art 50 obligations apply (chatbot disclosure, GPAI synthetic-content marking per C2PA-2.0, deepfake disclosure, emotion/biometric transparency), generate compliant disclosure text per surface + language, audit content pipelines, emit HMAC-signed compliance attestations. By MEOK AI Labs.

remove-ai-watermarks

Remove visible and invisible AI watermarks from images (Gemini / Nano Banana, ChatGPT, Stable Diffusion)

noai-watermark

AI Metadata Toolkit for cloning, checking, cleaning, and watermark removal

c2pa

Python implementation of C2PA: Coalition for Content Provenance and Authenticity.

c2pie

The world's first c2pa standard implementation that supports PDF-files signing.

zpe-video

Perception receipts for AI video pipelines. Cross-writer bit-exact under default settings (SHA-256 stable across writers in any language). Zero runtime dependencies; pure stdlib core. ~1.1 KB per video; per-frame CRC32 + schema + versioning. Useful now, improving continuously.

numbers-c2pa

Numbers C2PA tool