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Utiloom

Image Color Palette Extractor

Rank weighted color clusters from visible image pixels and export HEX, RGB, HSL, code, PNG, and JSON evidence.

LocalNo retention

Reviewed July 13, 2026

Guide, examples, and validation Show

About this tool

Upload any image to extract its dominant color palette. Get ready-to-use color values in HEX, RGB, and HSL, plus code snippets for CSS and Tailwind.

  • Builds a weighted 5-bit RGB histogram from visible sampled pixels, then applies median-cut buckets and near-duplicate merging.
  • Ranks each distinct cluster by sampled coverage and exposes HEX, RGB, HSL, CSS, Tailwind, and JSON values.
  • Checks image signatures and source limits before sampling and ignores pixels below 6% opacity.
  • Exports a verified labeled PNG strip and a source-linked JSON report.

How to use Color Palette

Rank weighted color clusters from visible image pixels and export HEX, RGB, HSL, code, PNG, and JSON evidence.

When this tool is useful

  • Builds a weighted 5-bit RGB histogram from visible sampled pixels, then applies median-cut buckets and near-duplicate merging.
  • Ranks each distinct cluster by sampled coverage and exposes HEX, RGB, HSL, CSS, Tailwind, and JSON values.
  • Checks image signatures and source limits before sampling and ignores pixels below 6% opacity.
  • Exports a verified labeled PNG strip and a source-linked JSON report.

Examples you can test

Load an example, compare the result with the expected output, then replace it with your own input.

Extract colors from a product image

Example input

Image: product-hero.jpg

Expected output

Dominant HEX, RGB, and HSL colors

Palette extraction helps match landing-page accents or design tokens to an existing visual asset.

Build a brand-adjacent palette

Example input

Image: app-screenshot.png

Expected output

Set of representative interface colors

Use extracted colors as a starting point, then check contrast and accessibility separately.

Validation checklist

  • Check extracted colors against accessibility contrast requirements before using them for text.
  • Ignore transparent or background-heavy colors when the subject is the real design target.
  • Sample multiple images if one asset does not represent the full brand palette.
  • Compare extracted colors with existing brand tokens before introducing new values.
  • Review colors on real UI backgrounds because dominant image colors are not always usable interface colors.

Frequently asked questions

How does the color extraction work?

The tool samples up to a 240-pixel long edge, builds an alpha-weighted 5-bit RGB histogram, splits weighted median-cut buckets, merges nearby results, and ranks clusters by sampled coverage.

Can I use the extracted colors in my project?

Yes. The tool provides ready-to-copy HEX, RGB, and HSL values, plus CSS custom properties and Tailwind config snippets you can paste directly into your code.

Does it work with transparent images?

Yes. Pixels below 6% opacity are excluded, while remaining pixels are weighted by alpha so semi-transparent coverage contributes proportionally.

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