Image Color Extractor

Why extract colors from images

Images are everywhere a brand lives — photography, illustration, screenshots. Pulling the colors out of them helps you build mood boards, keep designs consistent with a hero image, match a UI to a product photo, or simply turn a picture you love into a usable palette.

How dominant-color detection works

The tool doesn't pick random pixels. It samples the image and groups similar pixels into clusters using median-cut quantization, then returns the average color of each cluster. The biggest clusters are the most prominent colors, so the palette reflects what the eye actually perceives — ordered most-dominant first.

Getting better results

• Crop to the subject so background noise doesn't dominate.
• Avoid heavily compressed images, which muddy the colors.
• Adjust the color count: fewer for a tight brand palette, more to capture detail.

From extracted colors to a usable palette

Extraction gives you raw colors; refine them next. Send the set to the palette generator to build a harmonious scheme, or the brand color kit to turn a key color into a full token system.

Privacy: it runs in your browser

Your image is never uploaded. Everything happens locally on an HTML <canvas> — which is both faster and private, since the file never leaves your device.

Learn more

The extraction relies on the Canvas API to read pixel data in the browser.