head to head · open source
sharp vs remove-ai-watermarks
sharp has 32,831 GitHub stars, 1,450 forks, 123 open issues and last shipped 5 days ago. remove-ai-watermarks has 6,324 stars, 591 forks, 0 open issues and last shipped yesterday. sharp leads on adoption by 419% (32,831 vs 6,324 stars). sharp is written in JavaScript under Apache-2.0; remove-ai-watermarks is written in Python under Apache-2.0. sharp has attracted 4% as many forks as stars, remove-ai-watermarks 9%. remove-ai-watermarks was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (exif, image-processing), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| sharp | remove-ai-watermarks | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 6.3K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | JavaScript | Python |
| Last push | 2026-11-05 | 2026-11-09 |
| Forks | ⑂ 1.4K | ⑂ 591 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick sharp if
- You weight community size — 33K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches JavaScript
- You value the larger contributor base for long-term maintenance
pick remove-ai-watermarks if
- You want the remove-ai-watermarks feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and remove-ai-watermarks fits your workflow better
About sharp
sharp The typical use case for this high speed Node API module is to convert large images in common formats to smaller, web friendly JPEG, PNG, WebP, GIF and AVIF images of varying dimensions. It can be used with all JavaScript runtimes that provide support for Node API v9, including Node.js ( = 20.9.0), Deno and Bun. Resizing an image is typically 4x 5x faster than using the quickest ImageMagick and GraphicsMagick settings due to its use of libvips. Colour spaces, embedded ICC profiles and alpha transparency channels are all handled correctly. Lanczos resampling ensures quality is not sacrificed for speed. As…
read the full sharp overview →
About remove-ai-watermarks
Remove AI Watermarks Remove AI provenance marks from images and video you generated yourself: known visible labels such as the Google Gemini sparkle watermark and vendor text marks; invisible pixel watermarks through direct local format disruption or diffusion regeneration; C2PA, EXIF, XMP, IPTC, and related AI metadata. Video support covers provenance identification, complete visible plus metadata cleaning, directory batches, visible Sora, Veo, Seedance, Doubao, Dola, Hailuo AI, and Kling AI mark removal, and oracle certified VAE regeneration for video SynthID removal. raiw.cc runs this library as a hosted…
read the full remove-ai-watermarks overview →
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Frequently asked questions
Is sharp or remove-ai-watermarks more popular?
sharp has 32,831 GitHub stars and remove-ai-watermarks has 6,324. sharp has the larger community by that measure.
Are sharp and remove-ai-watermarks free?
Both are open source. sharp is licensed under Apache-2.0 and remove-ai-watermarks under Apache-2.0. Neither carries a licence fee.
What is the difference between sharp and remove-ai-watermarks?
sharp is written in JavaScript and remove-ai-watermarks in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, sharp or remove-ai-watermarks?
Choose sharp if you want the larger community (32,831 stars) or its Apache-2.0 licence terms. Choose remove-ai-watermarks if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.