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.
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Ai safety research showing a working bypass to Google's synthid on Nano Banana Pro
Open-source research tool for inspecting, benchmarking, and scrubbing AI document metadata and invisible tracking artifacts.
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.
Invisible, key-verifiable watermarks for AI/LLM-generated text β SynthID-Text-style, in Rust + WebAssembly (Node + browser). Live playground included.
AI watermark removal built for Apple Silicon. SynthID-class pixel regeneration, visible vendor labels and provenance metadata, with every pipeline decision measured on Metal.