Flowfiles ← Color Palette Extractor

Extract Colors from Image Online

Dominant Colors · Hex Codes · RGB · HSL — Free, No Upload, Instant

Drop any image and get its dominant colors as hex, RGB, and HSL values in seconds. The extractor uses K-means clustering to group visually similar pixels and surface the shades that actually define your image. No file ever leaves your browser — processing is entirely local.

Open the extractor and start immediately — no account, nothing stored on any server.

Open the Color Palette Extractor →

How to extract colors from an image

K-means clustering works by randomly placing k centroids in the color space (RGB), then iteratively assigning each pixel to the nearest centroid and recomputing the centroid position. After convergence the centroids represent the dominant colors. The K-means++ variant used here chooses initial centroids with a probability proportional to distance, which dramatically reduces the number of iterations needed and avoids poor local minima. Once you have the palette, the extracted hex codes can be pasted directly into CSS, Figma, or any design tool.

/* Example — extracted palette applied as CSS */ .hero { background-color: #1e3a5f; } .accent { color: #f0a500; } .surface { background-color: #f5f0e8; } .text { color: #2c2c2c; }

Frequently asked questions

What is the best way to extract colors from an image?

The most accurate method is K-means clustering, which groups pixels by color similarity and returns the most representative shades. This tool uses K-means++ initialization for faster convergence and better results than random sampling.

Can I extract hex codes from a logo or brand image?

Yes. For logos and brand assets, use 4 to 8 colors to capture all significant tones without generating redundant near-duplicates. The extractor handles flat vector exports and PNG logos equally well.

Does image resolution affect color extraction?

Very large images are downsampled to 300×300 pixels before processing to keep extraction fast in the browser. This is sufficient for identifying dominant colors accurately without processing millions of pixels.

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