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

An ethical dataset supporting research in digital content provenance and authenticity, compliant with C2PA standards. Licensed for non-commercial use under CC BY-NC 4.0.

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

ComfyUI custom node for C2PA image signing - digitally sign your images with cryptographic certificates to prove authenticity and provenance

🛠️ Build and manage provenance-aware metadata for digital assets using JSON-LD, SHACL validation, C2PA signing, and FastAPI deployment.

Web app to verify C2PA content credentials and view EXIF/IPTC info embedded within an image. We do frontend as well as API call!

This project aims to build an accessible C2PA toolkit within the OpenMediaTrust folder. The goal is to make it easy for journalists, creators and everyday users to work with Content Credentials, based on the Coalition for Content Provenance and Authenticity (C2PA) standard.

Prototype pipeline for provenance-aware metadata: JSON-LD + SHACL validation + C2PA signing

all-JPEG Codestream/File Format Parser Tools

Deep-fake verification platform using C2PA protocol to verify media file's metadata

Streamlit application for summarizing Content Credentials.

End-to-end reproducible research pipeline testing C2PA content credentials survival in AI-generated images/videos through compression, editing, and social media platforms