A new open-source project called remove-ai-watermarks offers developers a command-line tool and Python library to strip both visible and invisible AI watermarks from generated images. The tool targets content from Google Gemini, ChatGPT/DALL-E, Stable Diffusion, Midjourney, and Adobe Firefly, addressing growing concerns about AI provenance tracking.

The library combines multiple techniques: reverse alpha blending removes Gemini's sparkle logo overlay, while diffusion-based regeneration tackles invisible watermarks like SynthID, StableSignature, and TreeRing. It also strips metadata including C2PA manifests, EXIF tags, and XMP labels that social platforms use to flag AI-generated content. Optional features include film grain injection and face protection to preserve human subjects during processing.

Built for speed and accessibility, visible watermark removal processes images in roughly 0.05 seconds without requiring a GPU. The project includes batch processing capabilities and even offers raiw.cc, a web-based version for users who prefer not to install anything locally. Installation works through pipx or uv for isolated environments.

This release arrives amid intensifying debate over AI watermarking standards, as companies balance copyright protection with creative freedom. The tool effectively circumvents current detection methods, potentially complicating efforts to distinguish synthetic media online.