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Remove an Image Background — On Your Own Device

Cut the subject out of a photo with a real segmentation model that runs in your browser. No upload, no sign-up, no watermark.

This background remover runs a real segmentation model entirely in your browser — RMBG-1.4 for any subject, or MODNet, a 7 MB portrait matting model, when the subject is a person. The cut-out edge can be feathered, and shifted inward to remove the rim of old background colour that segmentation often leaves behind. The model is cached after the first run and every image is processed on your own device, so the photo is never uploaded, there is no sign-up, no per-image limit and no watermark. Output can be transparent PNG, a solid colour, or the original blurred behind the subject.

Runs in your browser
Runs on
WebGPU where available, WebAssembly otherwise
Uploads
None — the model is downloaded to you, not the reverse
General model
RMBG-1.4 — about 42 MB, downloaded once
Fast model
MODNet — about 7 MB, portraits only
Maximum quality
BiRefNet-lite on a capable GPU (~109 MB), otherwise full-precision RMBG-1.4 (~168 MB)
Limit
None. Unlimited images, no account
Privacy
Runs entirely in your browser — nothing is uploaded
Cost
Free, unlimited, no sign-up

Frequently asked questions

Is my photo uploaded?

No. The model is downloaded to your browser and the segmentation runs on your device. You can disconnect from the network after the first run and it still works — which is not something an upload-based service can offer at any price.

Why is the first run slow?

The weights download once — about 42 MB for the general model, or 7 MB for the fast one. They are then cached by the browser, so every later image starts immediately. If your browser exposes WebGPU the inference takes a second or two; on the WebAssembly fallback expect ten to thirty.

What does "needs a capable GPU" mean?

BiRefNet binds 17 storage buffers per shader stage where a lot of hardware allows 16, and it does not fit the WebAssembly heap either. The tool first asks your GPU for its own maximum limits rather than accepting the low defaults — which is often enough on its own — and only if that still falls short does it use full-precision RMBG-1.4 instead. Either way the result names the model that produced it.

There is a faint rim of the old background around my subject.

That is the mask landing a pixel wide, and it is what "Edge shift" is for. Pull it to around −1 and the edge moves inward, taking the fringe with it. A little edge softness on top hides the resulting stair-step. Doing it in that order — shift first, then feather — is what a compositor would do.

Which model should I pick?

The general model unless the subject is a person and you want the smallest possible download. MODNet is portrait matting — trained to find a human — so it is outstanding on hair and edges but will not reliably isolate a product, a piece of furniture or an animal. RMBG-1.4 handles all of those.

Does it need a GPU?

No. It uses WebGPU where your browser exposes it, because that is several times faster, and falls back to WebAssembly on the CPU otherwise. The output is identical either way — only the wait changes. Models that a particular GPU cannot compile are detected before anything downloads and run on the CPU instead.

How does it compare with the paid services?

Honestly: on hair, fur and semi-transparent edges the large commercial models are still better, because they are much bigger than anything that fits in a browser. On ordinary subjects against a distinguishable background the difference is small — and this one has no limit, no account and no upload.

How to use the ai background remover

  1. 1Select your image — the file stays on your device and is never uploaded.
  2. 2Choose the model.
  3. 3Choose the background.
  4. 4Pick the colour.
  5. 5Set the edge softness.
  6. 6Set the edge shift.
  7. 7Press Run, then download the result when it is ready.

Sources & specifications

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Put the working ai background remover on your own site. It runs in your visitors' browsers exactly as it does here — free, no account, nothing uploaded.

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