Color Palette Extractor

Pull the dominant hex colors out of an uploaded image.

Pulling a color palette out of any image

Upload an image and this tool samples its pixels, groups similar colors together, and surfaces the most common ones as a palette of hex swatches - click any swatch to copy its hex code. Useful for pulling brand colors from a logo, matching a design to a photo, or just exploring an image's color scheme. Everything runs locally in your browser; your image is never uploaded.

Why similar colors get grouped into buckets before counting

A real photo can contain thousands of subtly different shades of what looks like one color to the human eye - counting every exact pixel value separately would produce a palette cluttered with near-duplicate hex codes. Grouping nearby color values into buckets before counting collapses those near-duplicates into one representative swatch, which is what makes the result a usable palette rather than a long, redundant list.

Why transparent pixels are deliberately excluded from the count

A transparent or mostly-transparent pixel doesn't actually represent a visible color in the image - letting those pixels into the count would skew the palette toward whatever default color sits underneath transparent areas, which is why pixels below a transparency threshold are skipped entirely before colors are tallied.

Why analyzing a smaller version of the image barely affects the result

Dominant colors are, by definition, colors that occupy a large share of the image - a smaller sample still captures that same large-scale color distribution reliably, which is why reducing the image for faster processing has minimal effect on which colors come out as "dominant" for most photos and graphics.

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Why does the palette not match the image exactly?

Colors are grouped into buckets before counting, so very similar shades (which would otherwise all show as separate, nearly-identical swatches) get combined into one representative color - this gives a cleaner, more useful palette than hundreds of near-duplicate hex codes.

Does image size affect the result?

The image is analyzed at a reduced resolution for speed, which has minimal effect on the dominant colors detected for most photos and graphics.

Why are transparent parts of an image ignored?

A transparent pixel doesn't represent an actual visible color, so including it would skew the palette toward whatever happens to sit underneath - those pixels are skipped before colors are counted.

Can I use this to extract brand colors from a logo?

Yes - that's one of the most common uses. Upload the logo and the dominant hex codes extracted are usually close to or exactly the brand's actual color values, especially for logos with flat, solid colors.

Is my uploaded image sent anywhere?

No - everything happens locally in your browser using canvas pixel sampling; the image is never uploaded to a server.

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