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Remove–AI–Watermarks – CLI and library for removing AI watermarks from images

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Why This Matters

This tool is significant for the tech industry and consumers as it provides a comprehensive solution for removing AI watermarks and metadata from images generated by various AI models, enhancing privacy, authenticity, and flexibility in image handling. It also addresses concerns around AI-generated content transparency and enables users to better manage digital assets in an increasingly AI-driven visual landscape.

Key Takeaways

Remove visible and invisible AI watermarks from images generated by Google Gemini (Nano Banana), ChatGPT / DALL-E, Stable Diffusion, Adobe Firefly, Midjourney, and other AI models.

Strips SynthID, C2PA Content Credentials, EXIF/XMP "Made with AI" labels, and visible sparkle overlays — all in one command.

Features

Visible watermark removal — Gemini / Nano Banana sparkle logo via reverse alpha blending (fast, offline, deterministic)

— Gemini / Nano Banana sparkle logo via reverse alpha blending (fast, offline, deterministic) Invisible watermark removal — SynthID, StableSignature, TreeRing via diffusion-based regeneration

— SynthID, StableSignature, TreeRing via diffusion-based regeneration AI metadata stripping — EXIF, PNG text chunks, C2PA provenance manifests (PNG / JPEG / AVIF / HEIF / JPEG-XL), XMP DigitalSourceType

— EXIF, PNG text chunks, C2PA provenance manifests (PNG / JPEG / AVIF / HEIF / JPEG-XL), XMP DigitalSourceType "Made with AI" label removal — removes the metadata that triggers AI labels on Instagram, Facebook, X (Twitter)

— removes the metadata that triggers AI labels on Instagram, Facebook, X (Twitter) Analog Humanizer — film grain and chromatic aberration to bypass AI image classifiers

— film grain and chromatic aberration to bypass AI image classifiers Smart Face Protection — automatic extraction and blending of human faces to prevent AI distortion

— automatic extraction and blending of human faces to prevent AI distortion Batch processing — process entire directories

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