by dearabhin · Agent Tool · ★ 173
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Gemini Watermark Remover A high-performance, 100% client-side tool for removing watermarks from images generated by Google Gemini AI. Built with pure Vanilla JavaScript, it uses a mathematically precise Reverse Alpha Blending algorithm to restore pixels with zero quality loss. 🔗 Live Website: remove-watermark.mlaas.in 🚀 Features 100% Client-Side Processing: No servers involved. Images are processed locally in your browser for maximum privacy. Lossless Restoration: Uses exact mathematical inversion rather than AI inpainting, ensuring original pixel quality is preserved. Zero Dependencies: Built with native ES6 Modules and Tailwind CSS (via CDN) — no complex build steps required. Auto-Detection: Automatically detects watermark size (48px or 96px) based on image resolution. Mobile Responsive: Fully optimized UI for desktop and mobile devices. 🧠 How It Works (The Algorithm) Gemini adds watermarks using a standard Alpha Compositing (blending) technique. This too
| Stars | 173 |
| Forks | 38 |
| Language | HTML |
| Category | Agent Tool |
| Quality Score | 49.18/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-20 |
| Created | 2025-12-22 |
| Platforms | cli, gemini |
| Est. Tokens | ~54k |
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gemini-watermark-remover is A high-performance, 100% client-side tool for removing watermarks from images generated by Google Gemini AI. Built with pure Vanilla JavaScript, it uses a mathematically precise Reverse Alpha Blending. It is categorized as a Agent Tool with 173 GitHub stars.
gemini-watermark-remover is primarily written in HTML. It covers topics such as gemini-ai, gemini-watermark-remover, google-gemini.
You can find installation instructions and usage details in the gemini-watermark-remover GitHub repository at github.com/dearabhin/gemini-watermark-remover. The project has 173 stars and 38 forks, indicating an active community.
The top alternatives to gemini-watermark-remover on Agent Skills Hub include gemini-desktop, laravel-gemini-translator, open-computer-use. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.