Extract frequently used colors from a reference image and copy their HEX values.
Use it for pixel-art color analysis, UI color references, and identifying primary and secondary character colors.
For fast browser processing, the image is downsampled so its longest side is at most about 180 pixels. The tool samples pixels, ignores mostly transparent pixels, groups RGB values into coarse buckets, and returns the most frequently observed buckets as representative colors.
The result is a practical frequency-based summary, not a color-managed proof or a mathematically optimal palette. Small accents can disappear when a dominant background occupies most of the image, so crop the source around the subject when accent colors matter.
Extract a reference palette first, compare it with the Color Palette Recommender, then use Color Reduction on a copy of the asset to preview how the image behaves with fewer colors.
For fast browser processing, the image is downsampled and colors are grouped at fixed intervals. Results may differ from professional color quantization.
Mostly transparent pixels are excluded.
They are ordered by frequency in the sample.
This 96×64 test image was analyzed with a target of 8 colors. It is below 180 px, so no resize is needed; the example uses the same 32-step RGB buckets and every-fourth-pixel sampling. Result: #002020, #204040, #40A0A0, #60E0FF, #FFC040.
