About Remove Image Background

Remove Image Background cuts the subject out of a photo and leaves the rest transparent. Add a JPG, PNG or WebP image, wait a moment while the model finds the subject, then drag the divider to compare the result with the original. Download it as a transparent PNG or WebP, or flatten it onto a color you pick.

The cutting is done by an open AI model that runs in your browser: BiRefNet by default, or IS-Net for the finest hair and edge detail. It uses WebGPU when your device has it and falls back to WebAssembly when it does not. Both models are open and free to use commercially (Apache 2.0 and MIT), and the engine is ONNX Runtime Web (MIT). The model files are served from this site and downloaded only when you add an image, then kept on your device.

Your photo never leaves your device: there is no upload, no account and no watermark. To change the size afterwards use Resize Image, or crop first with Crop Image.

How to remove the background from an image

  1. Add a JPG, PNG or WebP photo by dropping, pasting (Ctrl or Cmd + V) or selecting it.
  2. Wait while the model downloads the first time and removes the background. A progress bar shows where it is.
  3. Drag the divider to compare, choose Transparent or a color, pick PNG or WebP, then download.

Frequently asked questions

How do I remove the background from an image?

Add a JPG, PNG or WebP photo by dropping it, pasting it or selecting it. The tool finds the main subject and removes everything behind it. Drag the divider to compare the result with the original, then download it as PNG or WebP.

Is my photo uploaded anywhere?

No. The model runs on your device, in your browser, and the photo never leaves it. The first time you use the tool your browser downloads the model from this site and keeps a copy, so the next visit starts without a download.

Why does it download a large file the first time?

An AI model does the cutting, and it has to be on your device for the photo to stay private. IS-Net is 42 MB and BiRefNet is 94 MB, plus the 15 to 29 MB engine that runs them. Each is downloaded only when you first use it, with a progress bar, and then kept in your browser's storage.

Which model should I pick?

BiRefNet is the default and gives smoother, cleaner outlines, even on busy scenes. IS-Net works at a higher resolution and can keep more fine detail, such as hair, fur and thin objects. If one gets a photo wrong, try the other.

What licence are the models under?

IS-Net (Qin et al., code and weights under the Apache 2.0 licence, here in an MIT-licensed ONNX export) and BiRefNet (Zheng et al., MIT licence) are both open and allow commercial use. The engine is ONNX Runtime Web, MIT licence. This tool does not use the non-commercial BRIA RMBG models.

Is it fast?

On a computer with WebGPU a photo takes about a second or less. Without it the tool uses WebAssembly on your processor, which takes a few seconds. Very large photos take longer, and anything over 40 megapixels is refused so that your browser does not run out of memory.

Can I save the result on a solid color instead of transparent?

Yes. Choose Color under Background, pick a color with the color picker or type a hex value, and the download is flattened onto that color. Transparent keeps the transparency, which needs PNG or WebP (JPG cannot store it).

How good is the result?

Good on people, products and animals with a clear subject, less good when the subject is hard to tell from its surroundings, such as glass, smoke, a white dress on white, or a crowd. Hair and fur edges are soft, not hand-painted. It is a fast automatic cut-out, so check the edges before using it for something important.