Remove visible Gemini and Google Flow watermarks from Gemini Omni videos and Nano Banana AI images online.
Completely free, private, and runs 100% client-side in your web browser with zero quality loss.

👉 Try it online: https://ishara-madu.github.io/gemini-watermark-remover/

Most AI watermark removers use generative AI inpainting, which hallucinates missing pixels and blurs the background.

Google Gemini, Google Flow, Gemini Omni, and Veo models embed visible watermarks using transparent alpha blending. Because the underlying pixels are still present beneath the transparency, Gemini Watermark Remover uses exact mathematical unblending to subtract the watermark mask pixel-by-pixel, restoring 100% of your original image & video clarity with zero quality loss.

$$\text{Original} = \frac{\text{Watermarked} - (\text{Logo} \times \alpha)}{1 - \alpha}$$

• 🔒 100% Private & Client-Side: Files never leave your device. All rendering is handled locally in your browser via HTML5 Canvas and WebCodecs.
• 🖼️ Gemini & Nano Banana Image Support: Clean images (PNG, JPG, WebP) with instant high-resolution lossless PNG export.
• 🎬 Gemini Omni, Google Flow & Veo 3 Video Support: Fast frame-by-frame processing with MP4 export while preserving original audio tracks.
• 🎛️ Live Tuner & Model Presets: Quick-select model presets for Nano Banana, Gemini Omni, Flow, and Veo alongside real-time sliders and dual zoomed comparison views.
• ⚡ Zero Quality Loss: Restores exact pixel colors without blurry inpainting.
• 📱 Fully Responsive: Beautiful, clean, modern UI optimized for desktop, tablet, and mobile browsers.
• 🆓 Unlimited & Free: No signups, no subscriptions, and no secondary watermarks.

• Frontend: Pure Semantic HTML5, Modern Vanilla CSS (Custom Design System), JavaScript (ES6+)
• Processing: HTML5 Canvas API, WebCodecs API, MediaBunny for high-performance in-browser video unblending and AVC/H.264 muxing
• Hosting: GitHub Pages

Run the project locally with any static web server:

# 1. Clone the repository
git clone https://github.com/ishara-madu/gemini-watermark-remover.git

# 2. Navigate to project folder
cd gemini-watermark-remover

# 3. Start a local server (using Python 3, Node, or VS Code Live Server)
# Option A: Python
python3 -m http.server 8000

# Option B: Node.js (npx serve)
npx serve .

Open http://localhost:8000 in your browser.

Contributions, issues, and feature requests are welcome! Feel free to check the issues page.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

If you found this tool helpful, consider giving it a ⭐️ star on GitHub or supporting via:

Distributed under the MIT License. See LICENSE for more information.