What is color palette extraction?
Automatically pulling the dominant colors from a photo or illustration is helpful for color-scheme references and brand color analysis. This tool processes the image in your browser using the Canvas API, so image data is never sent anywhere.
How to use it in design
The extracted palette can be applied directly to web design, print pieces, and presentation slides. Click a HEX value to copy it to the clipboard, ready to paste into CSS, Figma, or Illustrator.
Practical Limitations
Color extraction is based on statistical analysis of pixels, so the result can differ from what you actually see depending on the photo's white balance and your monitor's characteristics. RAW-uncorrected photos or images with strong color filters are especially prone to mismatches with the intended palette. Quantization algorithms (e.g., Median Cut) prioritize colors with many pixels, so striking accent colors that occupy a small area may be missed. Processing assumes the sRGB color space, so accuracy is not guaranteed for wide-gamut images such as Adobe RGB or Display P3.
Trade-offs
Using extracted colors directly in web design can fail to meet WCAG 2.1 contrast ratio requirements. Palettes from natural photos often look harmonious, but text legibility may require lightness adjustments. We recommend using our Contrast Checker alongside this tool. Copying HEX values also has limits across devices in color reproduction; for accurate print color matching you will need spot-color references like PANTONE or DIC.
Common Q&A
Q: I want to extract a color close to our brand color from a photo. Compare the extracted color to your brand guideline; if the color difference (Delta E) is 5 or less it is practical to use. For larger gaps, use the extracted color as a starting point and tweak manually. Q: Increasing the count just yields similar colors. Your image's color distribution may be biased. Crop to a region with more saturation or hue variety, then re-analyze for a more diverse palette.
Color Trend History
In the early 2010s, flat design favored limited monochrome palettes. After the gradient boom, the 2020s have embraced "nuance colors": muted, low-saturation palettes. With growing accessibility focus, new contrast standards based on APCA (Advanced Perceptual Contrast Algorithm) are emerging. The CSS Color Level 4 spec introduces OKLCH, enabling perceptually uniform color manipulation natively in browsers.