Nano Banana Watermark Remover for Gemini Images

Can you remove the Nano Banana watermark?

Yes, for documented sizes. Nano Banana is the informal name for Gemini's image model, and the small logo it stamps in the bottom-right corner is a fixed, visible overlay, not a hidden or randomized pattern. Open the browser eraser, drop in the image, and the detector checks it against a measured catalog of known Nano Banana sizes and margins before touching a pixel.

Who actually searches this exact phrase

Two kinds of visitors land here, and neither of them wants a lecture on tokenizer names. The first already has a Nano Banana image open — a product shot for a store listing, a thumbnail, a mockup for a client — and the corner logo is simply in the way of using it. The second is deciding whether to trust a browser tool with a picture they may not fully own, and wants to understand the mechanics before committing a file to it.

If you're the first visitor: the eraser takes JPG, PNG, or WebP up to 20 MB, and the whole loop — detect, restore, compare, download — usually finishes before you'd have finished uploading the same file somewhere else, because there is no upload leg to wait on. If you're the second: keep reading, because the rest of this page is written for you.

What the detector actually checks

Nano Banana's visible mark is not one fixed size across every image. Google has shipped more than one geometry across resolution tiers and model updates, and a remover that assumes a single size will either miss marks it should catch or, worse, edit the wrong region of an image that never had a mark there at all. This project's engine works from a measured catalog instead of a guess — the same one documented in full on the size and margin catalog page.

When a candidate region matches, the engine runs an inverse-alpha restoration against the pixels underneath — not a blur, not a smear, an attempt to reconstruct what the background looked like before compositing. When nothing lines up, the file comes back exactly as it went in, reported as skipped rather than forced through a generic patch. A visible mark left alone is a worse look than an admitted gap, but a damaged product photo is worse still.

What this tool does not claim

Some pages that rank for this phrase advertise removing "the Gemini logo and SynthID" in one pass. That claim does not hold up. SynthID is not a pixel pattern sitting in a corner — it is an imperceptible, distributed signal woven into the image itself, and Google designed it specifically to survive cropping, filters, and re-compression. A tool that could reliably strip that on request would undermine the entire point of watermarking AI output, which is why no honest tool does it. This one removes the visible corner mark and nothing else.

That also means removing the logo does not make an image "not AI-generated" for disclosure purposes. If a platform policy or a regulation requires you to label AI-generated content, that obligation travels with the image regardless of what its corner looks like. See what this tool cannot remove for the complete boundary, and the open-source repository if you want to read the detection logic yourself rather than take a marketing page's word for it.

If your Nano Banana image gets skipped

A skip is not a bug report waiting to happen; it is the safety gate doing its job on a file that did not match. Before assuming the worst, check whether you're using the original download rather than a resized or re-compressed copy — a screenshot or a social-media re-upload changes exactly the pixels the detector relies on. The size catalog lists every dimension currently recognized, and the troubleshooting guide walks through the remaining causes step by step.

Frequently asked questions

Common questions people ask before or instead of trying this on their own image.