Extracting colors from an image is a fundamental step in defining the visual identity of a web project. This online color palette extractor processes any photograph or screenshot locally in the browser. It groups visually similar pixels in the CIE L*a*b* color space, then returns the five most prevalent colors in descending percentage order.
Once the colors are extracted, the tool organizes them for you by assigning strategic UI roles: a background color, a primary shade for dominant elements, an accent color for calls to action and a text tone — with the WCAG contrast ratio calculated in real time. That way you can design inclusive, accessible interfaces from the very first moment.
Frequently Asked Questions (FAQ)
How are the dominant colors calculated?
The image is sampled in the browser and similar colors are grouped through iterative clustering in the CIE L*a*b* color space. The five resulting colors are ordered strictly by their percentage coverage, so the first swatch is always the most prevalent one.
Can I download the extracted colors?
Yes. You can copy CSS variables ready for your stylesheet, export the whole palette as JSON, or download the configuration files (.css and .json) directly to drop into your design system or into Tailwind.
Are my images kept private?
Absolutely. The entire image-processing pipeline runs 100% inside your web browser (client-side) through the Canvas API. No photo is ever uploaded to an external server or stored in a third-party database.