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Image Color Palette Extractor (K-Means Clustering)

Extract dominant color palettes from uploaded images using HTML5 Canvas pixel sampling and K-Means color quantization.

  • 100% free
  • Files stay on your device
  • No sign-up, no watermark

Processed 100% locally via Canvas API & K-Means Clustering

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What is Image Color Palette Extractor (K-Means Clustering)?

The Color Palette Extractor finds the dominant colours in a photo, logo or screenshot. It samples the image’s pixels and groups similar colours with k-means clustering, then shows each colour with its HEX code and the share of the image it covers. Copy individual HEX codes or the whole palette as CSS custom properties to use in a website theme, brand guide or design system. The image is analysed in your browser and never uploaded.

How to use Image Color Palette Extractor (K-Means Clustering)

  1. 1

    Upload an image

    Choose a PNG, JPG, WEBP, GIF, BMP or SVG.

  2. 2

    Review the palette

    Dominant colours appear with HEX codes and percentages.

  3. 3

    Export

    Copy single HEX values or all colours as CSS variables.

Frequently asked questions

How are the colours chosen?

Pixels are grouped by similarity with k-means clustering; each group’s average colour becomes a palette entry, ordered by how much of the image it covers.

Why does the palette change slightly each run?

K-means starts from sampled points, so near-identical shades can merge differently. The dominant colours stay the same.

Can I use it for brand colours from a logo?

Yes. Logos with flat colours give very accurate results.

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