gargantuax/gemini-watermark-remover

A high-performance, 100% client-side tool for removing Gemini AI image & video watermarks. Built with pure JavaScript using mathematically precise Reverse...

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Summary Information

Updated 33 minutes ago
Added to GitGenius on September 12th, 2026
Created on December 19th, 2025
Open Issues & Pull Requests: 20 (+0)
GitHub issues: Enabled
Number of forks: 863
Total Stargazers: 5,525 (+0)
Total Subscribers: 49 (+0)

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Detailed Description

Gemini Watermark Remover is a client-side watermark removal tool that processes images and videos in the browser using pure JavaScript.

The tool addresses the problem of Gemini AI watermarks on generated images and videos by applying a mathematically precise Reverse Alpha Blending algorithm rather than relying on AI inpainting. This approach enables lossless, reproducible watermark removal with high fidelity on supported outputs. The tool automatically detects watermark size and position using Gemini's known output catalog and local anchor search, requiring no manual configuration.

Developers and users who generate images with Gemini and want to remove watermarks should consider this tool if they value mathematical precision over AI-based approaches and prefer local processing with no data uploads. The project offers multiple deployment options suited to different workflows: an online web tool for quick one-off use, a Chrome extension for seamless integration with Gemini pages, a userscript for similar browser integration, and command-line and automation interfaces for scripting. The tool also supports video watermark removal. It works across modern browsers and Node.js environments.

Development activity shows consistent engagement with the codebase through regular updates and maintenance of multiple distribution channels. The project maintains documentation in multiple languages and actively develops new features such as video watermark removal capabilities. The tool is actively promoted and supported through a dedicated online platform and multiple installation methods, indicating ongoing investment in user accessibility and feature expansion.