Image Color Palette
Extract the dominant color palette from an uploaded image.
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FAQ
- How does the color extraction work?
- The tool samples pixel data from the canvas, quantizes each color to a coarser grid to group similar shades, counts their frequency, and returns the most common distinct colors.
- How many colors are extracted?
- Up to 10 dominant colors are shown. The algorithm de-duplicates very similar shades so the palette represents the actual visual variety in the image.
- Does image size affect performance?
- Larger images take longer to sample. The tool subsamples every few pixels to keep processing fast even for large images, at the cost of some accuracy in rare edge cases.
The Image Color Palette tool samples pixel data from your uploaded image and extracts the top dominant colors using a frequency-based quantization algorithm. It samples every Nth pixel, groups similar colors into buckets, counts their frequency, and presents the most common colors as swatches with HEX values you can copy. Useful for extracting brand palettes, analyzing design assets, or theming projects.