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C2PA Wiki

Your comprehensive guide to Content Provenance and Authenticity

A curated list of C2PA (Coalition for Content Provenance and Authenticity) resources, including multi-language specifications, tools, libraries, and learning materials.

English | 简体中文 | 繁體中文 | 日本語 | 한국어 | Deutsch | Français | Русский

C2PA is an open technical standard providing publishers, creators, and consumers the ability to trace the origin of different types of media. In the age of AI-generated content, C2PA helps verify content authenticity and provenance.

🌍 Multi-language Official Specifications - This project provides the first community-driven translations of the official C2PA specification in multiple languages, making C2PA accessible to developers worldwide.

🤝 Help Improve Translations - Our translations are AI-assisted (DeepL) and in beta. Native speakers: report errors to help improve quality!


🌍 Official Specifications (Multi-language)

Section titled “🌍 Official Specifications (Multi-language)”

The C2PA specification version 2.2 is available in multiple languages. These translations help developers worldwide understand and implement C2PA in their applications.

LanguageDocumentStatusMethodLast Updated
🇬🇧 EnglishC2PA Specification 2.2✅ OfficialC2PA OrgMay 2025
🇨🇳 简体中文C2PA 规范 2.2🔄 BetaAI + Review2025
🇯🇵 日本語C2PA 仕様 2.2🔄 BetaAI + Review2025
🇩🇪 DeutschC2PA Spezifikation 2.2🔄 BetaAI + Review2025
🇫🇷 FrançaisSpécification C2PA 2.2🔄 BetaAI + Review2025
🇰🇷 한국어Coming soon🚧 Planned--
🇪🇸 EspañolComing soon🚧 Planned--
🇵🇹 PortuguêsComing soon🚧 Planned--

Translation Notice: Non-English translations are AI-assisted (DeepL) with community review. While we strive for accuracy, errors may exist. Native speakers are encouraged to report issues or submit corrections. The English version remains the authoritative reference.

Quick Navigation: View all specifications →


C2PA (Coalition for Content Provenance and Authenticity) is an open standard that adds cryptographically signed metadata to media files, enabling verification of content origin and editing history.

Key Benefits:

  • ✅ Verify content authenticity and detect tampering
  • ✅ Track complete editing history from original to current version
  • ✅ Identify AI-generated or AI-modified content
  • ✅ Protect creator attribution and intellectual property

Want to dive deeper?


Quick answers to the most common questions:

What is C2PA and how does it work?

C2PA adds cryptographically signed metadata (“manifests”) to media files containing provenance information. Any tampering breaks the signature, making modifications detectable. It uses standard PKI (like HTTPS certificates), not blockchain.

Can C2PA be removed? Can it detect AI-generated images?

Removal: Yes, by design. C2PA proves authenticity when present, rather than preventing removal.

AI Detection: Not automatically. C2PA records what creators declare. AI tools must voluntarily label their output as “AI-generated” in manifests.

Which cameras and software support C2PA?

Cameras: Leica (M11-P, SL3), Sony (Alpha 1, A9 III, A7S III, A7 IV), Nikon (Z6 III planned for 2025) can sign photos at capture time.

Software: Adobe Photoshop/Lightroom, Capture One, and many open-source tools.

Cost: The standard and tools are free. Certificate fees: ~$50-500/year.

→ View all 25+ FAQs covering technical details, privacy, security, and adoption.



  • c2pa-rs - Official Rust SDK for creating and validating C2PA manifests. The reference implementation.
  • c2pa-node-v2 - Official Node.js bindings for the C2PA Rust SDK
  • c2pa-js - JavaScript library for reading C2PA manifests in browsers
  • c2pa-python - Official Python bindings for the C2PA Rust SDK

  • C2PA command line tool - Official command-line tool for creating and inspecting C2PA manifests
    • Create, read, and validate C2PA content
    • Cross-platform: Windows, macOS, Linux
    • Supports images, videos, audio



  • News & Journalism: Verify photo and video authenticity (BBC, Reuters trials)
  • Camera Manufacturers: In-camera C2PA signing (Leica, Nikon, Sony)
  • Social Media: Content provenance on platforms (exploring)
  • AI Image Generators: Labeling AI-generated content (Midjourney, DALL-E)
  • Stock Photography: Proving original authorship (Adobe Stock, Shutterstock)
  • Adobe
  • Arm
  • BBC
  • Intel
  • Microsoft
  • Publicis Groupe
  • Sony
  • Truepic
  • GenAI Providers: OpenAI, Google, Meta
  • Camera Manufacturers: Leica, Nikon, Sony, Canon
  • Software Companies: Adobe, Microsoft, Capture One
  • News Organizations: BBC, New York Times, Reuters
  • Social Platforms: Exploring integration
  • Certification Authorities: DigiCert, GlobalSign, and others


We welcome contributions! See our Contributing Guide for details on:

  • Adding new resources
  • Translating specifications
  • Improving documentation
  • Reporting issues

Contributions are welcome! Please read our Contributing Guidelines first.

  1. Adding Resources: Submit a PR with new tools, libraries, or articles
  2. Translating Specs: Help translate the C2PA specification to new languages
  3. Fixing Errors: Report or fix translation errors, broken links, or outdated info
  4. Improving Content: Enhance descriptions, add examples, or restructure sections

We accept resources that are:

  • Actively maintained (updated within the last year)
  • Well-documented
  • Relevant to C2PA implementation or understanding
  • Open source (preferred) or freely accessible


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Last Updated: November 2025 | Maintained by the community