c2pa

A privacy-first app that strips AI watermarks from content you own.

Remove visible and invisible AI watermarks from images and video, and AI provenance metadata from images, video, and audio. Python library, CLI, and agent skill for SynthID, C2PA, EXIF, IPTC, XMP, and common generative-AI marks.

Aves is a gallery and metadata explorer app, built for Android with Flutter.

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

The open standard for proving any file is real, unaltered and sealed

React Native image watermarking for iOS, Android, and Web — text, logos, tiled layers, batch Recipes, invisible traces, and an optional interaction editor.

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

Cross platform CLI tool for removing watermarks from images and videos generated by Google Gemini, Veo, and NotebookLM.

JavaScript SDK for displaying and validating C2PA data

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

An open-source social media production system that turns a content calendar into on-brand copy, images, video, and client-ready delivery - with compliance and human approval built in.

Find and remove AI provenance signals from files you own: hidden Unicode, token watermarks, visible image marks, and C2PA/EXIF/XMP metadata. Zero-dependency Python 3.10+ core; models, GPUs, and system binaries sit behind opt-in adapters.

ComfyUI custom nodes for detecting provenance marks, removing visible and invisible AI watermarks, stripping metadata, and erasing selected regions.

Strip EXIF, GPS, C2PA / Content Credentials, AI watermarks, and Stable Diffusion / ComfyUI / Midjourney / ChatGPT prompt blocks from any image. Three modes: safe (pixel-identical), paranoid (re-encode), nuclear (disrupt SynthID/Digimarc). CLI + macOS desktop app. 100% offline.

An open-source editorial production system that researches, verifies, drafts, and delivers publication-ready long-form content with human review and provenance built in.

AI watermark removal built for Apple Silicon. SynthID-class pixel regeneration, visible vendor labels and provenance metadata, with every pipeline decision measured on Metal.

🔒 Remove AI watermarks, C2PA Content Credentials & SynthID frequency signals 100% locally.

Offline metadata & privacy cleaner for images, Office, PDF and text · Rust + Tauri · 本地文件隐私净化器

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.