About this tool
A color palette extractor scans every pixel of an uploaded image and groups similar colors together to find the handful that visually dominate the picture — the same kind of analysis behind "pick colors from a photo" features in design tools. It is useful for pulling a brand palette from a product photo, matching a website theme to a hero image, or just seeing at a glance which hues actually make up an image.
This tool downsamples the image to a small analysis canvas for speed, then reads its raw pixel data and buckets colors by coarse RGB similarity, counting how many pixels fall in each bucket and reporting each bucket's true average color — not just a rounded corner value — so the result stays visually accurate. The most frequent buckets become your palette, sorted by how much of the image they cover. Pick how many colors to extract, copy any swatch's hex code with one click, or copy the whole set as ready-to-use CSS variables. Everything runs locally in your browser; the image is never uploaded anywhere.
Frequently asked questions
How does the tool decide which colors count as "dominant"?
It groups every pixel into a coarse color bucket (rounding red/green/blue to the nearest of 8 levels each), counts how many pixels fall into each bucket, and reports the buckets with the most pixels — each shown as the TRUE average color of the pixels that landed in it, not just the bucket's rounded corner value, for a more natural-looking result.
Does this account for colors that only appear in a small but eye-catching area?
No — this tool ranks purely by pixel COUNT (how much of the image is that color), not by visual prominence or contrast, so a small bright accent color (like a single red object in an otherwise blue-and-gray photo) may not make the list even if it "pops" visually. This is a limitation of frequency-based extraction generally, not specific to this tool — if you need that specific accent color, you may need to sample it manually.