Does my image get uploaded anywhere?

No. The model runs entirely in your browser with WebGPU or WebAssembly. The image never leaves your device.

Why is the first run slow?

The AI model (~44MB) downloads once on first use and is cached by your browser. After that, removals are fast — typically a second or two.

A PNG the same size as your original, with the subject kept and the background removed. Choose transparent, white, or a custom color before downloading.

Which images work best?

Photos with a clear subject — people, products, animals, objects. Very fine detail like flyaway hair can show soft edges.

Remove Background

An AI segmentation model traces the subject and turns every other pixel transparent.

What this does

Remove Background runs the RMBG-1.4 segmentation model directly in your browser through Transformers.js — your image is never uploaded to a server.

The first time you drop an image, the model (~44MB) downloads from the Hugging Face CDN and is cached, so later images start instantly. Inference runs in a background worker, so the page stays responsive while it works. Links to the model and library are below.

How it works

1Drop your image.
2The first time, the background-removal model downloads once (~44MB) and is cached for next time.
3Pick a transparent, white, or custom background and download the PNG.

Built with open source

Transformers.js — Hugging Face's library for running ONNX machine-learning models in the browser, on WebGPU or WebAssembly. The model weights download from the Hugging Face CDN on first use and are cached. · Apache-2.0
RMBG-1.4 (BRIA AI) — Image-segmentation model that separates the foreground subject from the background. · Non-commercial

Frequently asked questions

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