Extract Color Palette from Image — Free Tool

Last Updated: April 1, 2026

Last updated: 2026-03-13

You see a photo with beautiful colors and want to use them in your design. Or a client sends a brand photo and says "match these colors." Manually eyedropping each color is tedious and imprecise. A palette extractor analyzes the entire image and gives you the dominant colors instantly.

What You Get

How Color Extraction Works

The algorithm clusters similar pixels together using k-means clustering. Each cluster center becomes one color in the palette. The cluster size determines the color prominence. This is why a photo of a sunset gives you oranges and purples, not the exact RGB value of every individual pixel.

Tips for Better Palettes

• Crop first. If you only want colors from part of the image, crop to that area before extracting.
• Adjust the number of colors. 5 colors for a simple palette, 8-10 for more nuance.
• Check contrast. Make sure your extracted colors have sufficient contrast for text readability (4.5:1 ratio minimum).

Related Tools

According to WCAG 2.1, text must have a contrast ratio of at least 4.5:1 against its background.

As Material Design guidelines recommend, a cohesive color palette typically uses 5-6 colors derived from a primary color.