Gemini Watermark Remover by GenImager
Remove Gemini watermarks privately in your browser
What it does
Gemini Watermark Remover by GenImager helps users remove the visible Gemini watermark from supported images and videos directly in their browser. The tool supports JPG, PNG and WebP images, along with compatible MP4, MOV and WebM videos. Media processing happens locally on the user's device, helping keep files private while avoiding software installation or an external watermark-removal API.
Does the same job
all alternatives →- IBI built a simple "Gemini" watermark remover extension, "Peel Banana"Jan 2026 · chromewebstore.google.com · ▲7
So I made a thing Got tired of that Gemini watermark in the corner of Nano Banana images, so I built a little Chrome extension to remove it. It's called "Peel Banana" and I just put it up on the Chrome Web Store. Completely free. - The whole thing runs locally in your browser using a reverse-blending algorithm(based on allenk's GeminiWatermarkTool). - No uploads, no servers, no external API. - Just drag in your images and it spits out clean versions in about a second. Keeps the original quality too. - You can do a whole batch at once if you've got a bunch of images to process. Anyway,…





More growth this month
the category →
AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com

Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com