c2pa

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

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

An open-source AI marketing operating system for strategy, SEO, AEO/GEO, paid media, content, CRM, and analytics - grounded in brand context, human approval, and verifiable outputs.

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.

JavaScript SDK for displaying and validating C2PA data

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

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

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

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.

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

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.

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

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.

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

Simple tool to remove C2PA manifests from files

Cryptographic proof of photo authenticity for any Android device. ECDSA P-256 signed. SHA-256 hashed. 14-sensor fingerprinted.