Rust SDK for the core C2PA (Coalition for Content Provenance and Authenticity) specification

JavaScript SDK for displaying and validating C2PA data

Remove invisible AI watermarks (SynthID, StableSignature, TreeRing) and strip AI metadata from images. Open-source CLI & Python toolkit.

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

Pure TypeScript implementation of C2PA manifest reading, validation, and creation

This Guidance demonstrates how to run the Coalition for Content Provenance and Authenticity (C2PA) standard for tracking provenance with media workloads on AWS.

Simple tool to remove C2PA manifests from files

Hardware-attested photo capture for React Native with embedded C2PA manifests.

Creator Assertions Working Group :: Identity Assertion

A JavaScript library that helps to implement a client for C2PA manifest validation.

Preview C2PA content credentials on desktop

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.

A Java C2PA implementation

CLI and library for removing visible (Gemini) and invisible (SynthID, C2PA, EXIF) AI watermarks from images

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

Remove invisible AI watermarks and manage metadata from images generated by popular AI models like DALL-E, Midjourney, and Stable Diffusion.

🌍 Awesome C2PA: Multi-language specifications, tools, and resources for content authenticity

Our project introduces a system designed to efficiently prove and verify the authenticity of transformed images.

Combat fake news with cryptographic image verification. Origin Lens analyzes C2PA Content Credentials and EXIF metadata to detect AI-generated content, verify digital signatures, and reveal complete edit history. Privacy-first open source iOS app with on-device verification. (arXiv:2602.03423)

Trust-minimized marketplace for content creators [🥇Lambda Hack Week '24]