#77 · Primary category: Computer Vision

remove-ai-watermarks

ai-watermark c2pa cli comfyui computer-vision content-credentials diffusion-models exif flux gemini generative-ai image-processing metadata nano-banana python stable-diffusion synthid video-processing watermark-removal watermark-remover

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.

Project last updated:08/30/26

GitHub Stars

5.3K

Forks

499

Contributors

7

License

Apache-2.0

Why we included this project

Anyone who generates images with Gemini or Nano Banana has seen the sparkle badge and the provenance metadata those models attach to every output. This tool removes that from content you made yourself: known visible vendor marks, C2PA and EXIF and IPTC metadata, and, when you have a GPU, a diffusion pass that disrupts the invisible SynthID watermark. It works as a CLI or a Python library, so you can clean one file interactively or script a batch run over a folder. Video gets the same treatment, with provenance identification and visible mark removal for Sora, Veo, Kling, and others. The project is deliberately scoped to content you own rather than third-party paid previews, which keeps it a cleanup tool for your own work instead of something aimed at copying other people's paid content.

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