wiltodelta/remove-ai-watermarks
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. observed · 2026-08-28
Health v2 · maintenance only
77/100
- Activity 99
- Release rhythm 87
- Longevity 11
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0.0
- age_days: 161
- days_rel: 6
- days_push: 7
- n_releases_24m: 79
Adoption not part of the score
5278 stars · 496 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A Python library and CLI for removing AI watermarks and provenance metadata from images and video the user generated themselves. It handles visible vendor marks (Gemini sparkle, Sora, Veo, Kling, etc.), invisible pixel watermarks like SynthID via diffusion/VAE regeneration, and metadata such as C2PA, EXIF, XMP, and IPTC.
Use cases
- remove the Gemini sparkle watermark from my AI-generated image
- strip C2PA content credentials and 'Made with AI' metadata from photos
- remove SynthID invisible watermark from images I generated
- clean visible AI marks from Sora or Veo videos
- batch process a directory of AI images to remove watermarks and metadata
- identify what AI provenance signals exist in an image or video
- erase a selected region of an image to remove a vendor label
When to choose
- you need to clean provenance marks from AI content you own, across visible, metadata, and hidden pixel layers
- you want a scriptable CLI or Python API with batch processing for images and video
- you need SynthID removal via GPU-based regeneration with face restoration
When to avoid
- you want to remove watermarks from third-party or stock content you do not own - the project explicitly targets only your own generated content
- you have no GPU and need invisible watermark removal, which requires CUDA
- you need a fully hosted no-install solution - the companion site raiw.cc offers that instead
Facets
library · maturity active
image-processing video-processing computer-vision cli privacy image-processing privacy artificial-intelligence developer-tools python cli windows watermark-removal synthid c2pa content-credentials exif xmp iptc metadata-stripping generative-ai diffusion-models stable-diffusion gemini provenance invisible-watermark video-watermark metadata video command-line linux macos gpu
3 sources
- readme: https://github.com/wiltodelta/remove-ai-watermarks · fetched 2026-08-28 · 70e7012faa18
- homepage: https://raiw.cc · fetched 2026-08-29 · 117e32d817a2
- registry_pypi: https://pypi.org/pypi/remove-ai-watermarks/json · fetched 2026-08-29 · a9b894c72202
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| wiltodelta/remove-ai-watermarks | main | 77 |
For agents
markdown · JSON · MCP: product_card(name="wiltodelta/remove-ai-watermarks")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem