Dominant Color Extractor - Image Color Palette Tool

Extract dominant colors from any image with color quantization. Get hex codes, RGB values, percentages. Copy palettes, download as JSON or image. Browser-based.

Privacy: All color extraction happens in your browser. No uploads, completely private.

Drop Image or Click to Upload

Supports JPG, PNG, WebP, GIF

Colors to Extract: 6

Algorithm

K-Means Median Cut

Color Palette

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Frequently Asked Questions

The tool uses color quantization algorithms (k-means clustering) to analyze all pixels in your image and group similar colors together. It then identifies the most frequently occurring color clusters and calculates their percentage distribution.

K-means groups colors by similarity in RGB color space through iterative clustering, often producing perceptually accurate results. Median cut divides the color space by the dimension with the greatest range, making it faster but sometimes less perceptually accurate than k-means.

5-10 colors work well for most use cases. Fewer colors (3-5) capture the main theme, while more colors (8-10) reveal subtle accent colors. Brand designers typically extract 5-6 colors, while web developers might want 8-10 for comprehensive palettes.

Absolutely. Each extracted color includes hex codes, RGB values, and HSL values perfect for CSS. You can copy individual colors or export the entire palette as CSS variables, making it ideal for building color schemes for websites and applications.

The algorithm finds average colors within clusters of similar pixels, which may not exactly match specific pixels you notice. It balances perceptual significance with mathematical clustering. Increasing the color count or adjusting sampling can help capture more specific hues.

Percentages represent the proportion of pixels assigned to each color cluster after quantization. They're mathematically accurate for the clustered data but represent approximations of the original image since similar colors are grouped together.

Yes, but transparent pixels are treated as white by default during analysis. If your image has significant transparency, the results may include white or light colors. For best results, use images with solid backgrounds or minimal transparency.

JSON format is ideal for developers (includes hex, RGB, HSL, percentages). The palette image is perfect for designers who want visual references. CSS export provides ready-to-use variables. Choose based on your workflow and tools.

Very large images are automatically downsampled to improve processing speed without significantly affecting color accuracy. The algorithm analyzes pixel distribution, not absolute counts, so a 1000px version captures colors as accurately as a 5000px version.

No. All color extraction happens locally in your browser using JavaScript and Canvas API. Your images never leave your device, ensuring complete privacy. The tool works offline once loaded, making it safe for confidential design work.

Drop Image or Click to Upload

Color Palette

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