Find the Most Frequent Colors · Percentage per Color · Instant Results
Identify the most visually significant colors in any image, complete with a percentage breakdown showing how much of the image each color occupies. The extractor uses the K-means++ algorithm to group pixels by hue and luminance, then ranks clusters by coverage so you instantly see which shades define the image. Everything runs locally in your browser.
Open the extractor and start immediately — no account, nothing stored on any server.
Open the Color Palette Extractor →A dominant color is the shade that covers the largest proportion of an image's pixels after they have been grouped by visual similarity. Unlike a simple average color — which blends everything into a single muddy tone — a dominant color is an actual hue that you can see when you look at the image. For a photograph of a forest, the dominant color is likely a mid-tone green. For a portrait, it might be a warm skin tone or the color of the background. Knowing the dominant color is the first step toward building a palette that feels cohesive with any visual asset.
The average color is a single blended value computed by averaging all pixel channels — it often produces a muddy, unremarkable grey or brown. The dominant color is the most represented cluster centroid after K-means grouping, which corresponds to an actual shade visible in the image.
After clustering, each pixel is assigned to its nearest centroid. The percentage for a color equals the number of pixels in that cluster divided by the total pixel count. A color at 40% means roughly 40% of the image area belongs to that color group.
The dominant color is the safest choice for backgrounds and large surfaces because it already harmonises with the rest of the image. Secondary clusters work well for accents and interactive elements. Copy the hex code and paste it directly into your CSS or design tool.