About Color Palette Extractor

Extract dominant colors from images for palette generation. Part of the DevTools Surf developer suite. Browse more tools in the Images collection.

Use Cases

• Extract a brand color palette from a logo or product photo
• Identify dominant colors in a competitor's design for competitive research
• Generate a cohesive color scheme from an inspirational photograph
• Verify color consistency across marketing materials by extracting and comparing palettes

Tips

• Upload a high-resolution image for more accurate dominant color extraction — low-resolution or highly compressed JPEGs introduce color artifacts
• Adjust the palette size slider (3-12 colors) based on your use case: 5 colors works for brand palettes, 8-10 for detailed design analysis
• The 'exclude background' toggle removes near-white and near-black pixels before clustering — useful for product photography on white backgrounds

Fun Facts

• The k-means clustering algorithm used by most color extractors was first described by Stuart Lloyd at Bell Labs in 1957, though not published until 1982. It groups pixels by minimizing within-cluster color variance — a problem in statistics applied to visual data.
• Adobe Illustrator's color palette extraction feature, first released in CC 2014, uses a similar k-means approach. Before automated extraction tools, designers manually sampled colors from images using eyedroppers — a process that could take 30 minutes per image.
• The Pantone Matching System (PMS), used for precise color matching in print, contains 1,867 colors in its current edition. Each is assigned a unique number that is a global standard for specification — an analog equivalent of hex codes in print.

FAQ

What algorithm is used to extract colors?

K-means clustering groups image pixels into k color clusters by minimizing intra-cluster variance. The centroid of each cluster is the representative 'dominant' color. Alternative algorithms include median cut and octree quantization.

Why does the extracted palette differ from what I see?

Dominant colors by pixel count are not the same as visually prominent colors. A white background that covers 70% of an image will dominate the palette even if white is not the 'important' color. Use the 'exclude background' option to address this.

Can I extract colors from a URL instead of uploading?

No — the extractor requires a locally uploaded image to avoid cross-origin privacy issues. Download the image first and upload it here. For logo-only use cases, the SVG source often contains explicit hex color values.