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Image Background Remover

Take a flat background out and keep the subject. Free, and runs entirely in your browser — nothing you enter is uploaded, stored or sent to a server.

About Background Remover

This takes a flat background out and keeps the subject, by colour. Two ways: flood in from the edges, which is right when the background touches all four sides and the subject sits in the middle, or pick a colour and remove it wherever it appears, which is a chroma key and right for a green screen or a known brand white.

Be clear about what it is, because most tools with this name are something else: this is a flood fill and a colour comparison, not a model. It will cut a product off a white studio background, a logo off a page, a screenshot element off its canvas — cleanly and instantly. It will not cut a person out of a photograph of a street, and no amount of tolerance will make it.

Tolerance decides how different a pixel may be and still count as background. Too low and a gradient survives in patches; too high and the subject starts disappearing. The result says what share of the picture went, which is the quickest way to know which way to move it: near 0% means nothing matched, past about 85% means the subject went with it.

Softening the edge fades the last pixel or two of the cut so it does not look like it was done with scissors — one or two is usually enough.

Where it helps

  • Instant and local: no upload, no account, no queue, and no picture of yours on someone else's server.
  • Two methods, which between them cover flat backgrounds and green screens.
  • Says what share of the picture it removed, so a bad tolerance is obvious immediately.
  • Softens the cut edge, so the result does not look cut out with scissors.
  • Writes PNG, WebP or GIF, all of which keep the transparency.

Limits

  • It is colour matching, not a model: a busy or photographic background will not come out.
  • A subject that shares a colour with the background loses that part of itself.
  • Fine detail — hair, fur, smoke, glass — is where this approach visibly fails.
  • Soft shadows and gradients need a higher tolerance, which costs accuracy elsewhere.
  • JPEG has no transparency, so the output is PNG, WebP or GIF.

Frequently asked questions

Is this like the AI background removers?

No, and it is worth saying so plainly. Those run a segmentation model that understands what a person is. This matches colours, which is faster, private and completely reliable on a flat background — and useless on a busy one.

Nothing was removed. What now?

Raise the tolerance. If the background is not what the edges are made of — a logo on a page, say — switch to picking the colour instead.

Too much was removed. What now?

Lower the tolerance. If the subject is close in colour to the background, this method is at its limit and a proper editor is the answer.

Why is the edge of my cut-out hard?

Turn the softening up a pixel or two. Any more than that and the subject starts to look like it is fading out at the edges.

Can I put a colour behind the subject instead?

Yes — choose a flat colour rather than transparent, and the subject is painted onto it, which is how you swap a white background for a brand colour.

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