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Image Color Extractor

Extract the dominant colors from an image as a color palette.

Overview

  • Extracts the most frequently used colors from an image and displays them as a color palette.
  • Similar colors are automatically grouped together and shown with their approximate share of the image.
  • The reverse of Color Palette Generator — use this when you want to pull a color scheme out of an existing image.

Usage

  1. Drag and drop an image, or click to select one.
  2. Once the image loads, it is analyzed automatically and a color palette is shown.
  3. Changing "Number of colors" re-analyzes the image with that many colors.
  4. You can copy each color's HEX code to your clipboard using the copy button.

Example

Input

A landscape photo

Output

#4a7c9e (32.5%) / #f2e8d5 (21.3%) / ...

Use Cases

  • Creating a color scheme for a design from a photo or illustration
  • Deciding a website's color palette based on an image representing a brand's identity
  • Getting CSS colors with a similar tone by referencing an existing design's color scheme

FAQ

Can I change the number of extracted colors?

Yes. You can choose between 4 and 10 colors under "Number of colors".

How is each color's percentage calculated?

Pixels in the image are sampled at regular intervals, similar colors are grouped together, and each color group's share is calculated relative to the number of sampled pixels. Since not every pixel is scanned for large images (sampling is capped), the percentages are approximate.

How are images with a transparent background handled?

Pixels that are nearly transparent are excluded from the count. If the entire image is nearly transparent, an error indicating that no colors could be extracted is shown.

Notes

  • Processing runs entirely in your browser; uploaded images are never sent to an external server.

Related Tools

Color Palette Generator

Generate shade variations plus complementary, analogous, and triadic color palettes from a base color.

Color Converter

Convert color codes between HEX, RGB, and HSL.

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