Image Tools

Remove Image Background

Makes a background transparent by sampling the four corners of one image and erasing pixels close to that average colour. It is a simple colour-matching method for plain backgrounds, not an AI cutout, and it saves a transparent PNG.

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Remove image background:

  • Automatic background detection
  • Transparent PNG output
  • Edge detection for clean edges
  • Works best with solid-color backgrounds

Tip: Works best when background is a solid, uniform color.

How to Use

  1. 1Add one image by dropping it on the upload area or browsing for it. Pick one with a plain, evenly coloured background.
  2. 2Click Remove Background and wait for the progress bar to finish.
  3. 3Download the result, saved as a PNG with transparent areas where the background was.
  4. 4Open the PNG on a dark and a light backdrop to check the edges; if it looks wrong, the background was probably not uniform enough for this method.

About this tool

Updated

How the colour-matching removal works

The tool averages the colour in the four corners and makes every similar pixel transparent, keeping pixels that sit on a detected edge.

It reads a 20x20 pixel patch from each corner, averages them into one background colour, then visits every pixel. A pixel becomes transparent if its red, green and blue values are each within 30 of that colour and a simple neighbour comparison does not mark it as an edge. Everything else stays as it was. The result is saved as a PNG. The thresholds are fixed in the code (tolerance 30 per channel, 20x20 corner samples), so the same image always gives the same result and nothing can be tuned from the page.

Images where it does well

It suits flat, evenly lit, single-colour backgrounds with a subject in clearly different colours.

Good fits: a product photographed on white paper, a logo exported on a flat colour, or a scanned signature on plain white where you need a transparent PNG to place over a document. One image is handled per run. If you only need the subject's borders trimmed rather than the background removed, Image Crop is the right tool, and Image Converter can change the file type afterwards. Transparent output is useful when you want to place a logo or product over a coloured slide, web page or design; keep in mind the PNG will be larger than a JPEG of the same picture because PNG is lossless.

Images where it will fail

Busy backgrounds, gradients, shadows and photos of people will not be handled well.

Because only four corner patches are sampled, a gradient, a textured wall, a scene with several colours or a background that changes across the frame will leave large opaque areas. Subjects sharing colours with the background get holes. Soft shadows leave grey patches, and the edges are hard, with no feathering. There is no way to adjust the tolerance or repair the result by hand. For anything beyond plain backgrounds, use a dedicated cutout editor; this page does not replace one. A fair test: if the four corners of your image are the same flat colour and that colour is absent from the subject, results are likely to be clean.

Features

  • Samples a 20x20 pixel block in each of the four corners and averages them to estimate the background colour
  • Makes pixels transparent when each colour channel is within 30 of that average, except where a local edge check says the pixel sits on an outline
  • Outputs a transparent PNG; the file name is switched to a .png extension
  • Accepts one image per run (maxFiles is 1)
  • No brushes, background picker or preview editor; a single Remove Background button does everything
  • Runs in your browser; the image is not uploaded

FAQ

Is this an AI background remover?

No. It does no object recognition. It averages the corner colours and makes similarly coloured pixels transparent. That works for flat colour backgrounds, and it can fail on anything more complex.

Will it work on a photo of a person?

Usually not well. Backgrounds in portraits are rarely a single flat colour, and hair, shadows and skin tones often fall close to the sampled colour. Expect ragged edges or holes in the subject. A studio shot on a plain white wall is the main exception.

Why did parts of my subject disappear?

Every pixel close to the background colour is erased, wherever it is, not just around the outside. A white shirt on a white background, or a logo with white lettering, will get holes. It cannot tell a background pixel from a subject pixel of the same colour.

Can I fix the result by hand or choose the background colour?

No. There is no eraser, restore brush or colour picker, and the tolerance is fixed. If the first result is poor, this tool cannot tune it.

Is my image uploaded?

No. Pixel analysis and PNG saving both happen in your browser, and the file is not sent to a server.