[PR #1804] add pyc2pa #1567

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GiteaMirror · 2025-11-06T13:18:50-06:00

GiteaMirror commented

2025-11-06 13:18:50 -06:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/1804
Author: @ethanwu155
Created: 9/3/2021
Status: 🔄 Open

Base: master ← Head: master

📝 Commits (1)

dbd1fe3 add pyc2pa

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

What is this Python project?

PyC2PA is Python implementation of C2PA (Coalition for Content Provenance and Authenticity) addressing the prevalence of misleading information online through the development of technical standards for certifying the source and history (or provenance) of media content.

Describe features.

Inject metadata into JPEG files using JUMBF injection
Support for Single & Multiple Injection
Injected JPEG files will have metadata embedded into photo itself making it traceable across the web
Injected JPEG files verifiable with CAI Verification Website (https://verify.contentauthenticity.org/)

What's the difference between this Python project and similar ones?

This is the first project that injects CAI metadata into photos. Content Authenticity Initiative is headed by Adobe and C2PA specs are headed by Adobe, Microsoft and other technology companies. Its a movement to create authentic digital assets in a time where misinformation is very prevalent.

--

Anyone who agrees with this pull request could submit an Approve review to it.

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/1804 **Author:** [@ethanwu155](https://github.com/ethanwu155) **Created:** 9/3/2021 **Status:** 🔄 Open **Base:** `master` ← **Head:** `master` --- ### 📝 Commits (1) - [`dbd1fe3`](https://github.com/vinta/awesome-python/commit/dbd1fe39b4b7625633cddeeb870b160397b21ee7) add pyc2pa ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## What is this Python project? PyC2PA is Python implementation of C2PA (Coalition for Content Provenance and Authenticity) addressing the prevalence of misleading information online through the development of technical standards for certifying the source and history (or provenance) of media content. Describe features. - Inject metadata into JPEG files using JUMBF injection - Support for Single & Multiple Injection - Injected JPEG files will have metadata embedded into photo itself making it traceable across the web - Injected JPEG files verifiable with CAI Verification Website (https://verify.contentauthenticity.org/) ## What's the difference between this Python project and similar ones? This is the first project that injects CAI metadata into photos. Content Authenticity Initiative is headed by Adobe and C2PA specs are headed by Adobe, Microsoft and other technology companies. Its a movement to create authentic digital assets in a time where misinformation is very prevalent. -- Anyone who agrees with this pull request could submit an *Approve* review to it. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2025-11-06 13:18:50 -06:00

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Reference: github-starred/awesome-python#1567