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Image Color Palette Extractor

Extract the dominant color palette from any image in your browser. Shows top colors with HEX and RGB values. No upload — files stay on your device.

Drop an image here or click to browse

PNG · JPG · WebP · GIF · BMP

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Color palette extraction identifies the dominant colors in an image — the shades that visually define the image's overall appearance. The process involves sampling pixel colors across the image and grouping similar colors together through a clustering algorithm. The resulting clusters represent the image's dominant color families, and the centroid or most representative color of each cluster becomes a palette entry.

The typical algorithm samples pixels at regular intervals (every 4th pixel, for example) to reduce computation time, then applies quantization in RGB color space: pixels are assigned to the nearest cluster center, centers are recalculated as the mean of assigned pixels, and the process iterates until stable. This simplified k-means approach is effective for extracting visually representative palette colors from photographs, illustrations, and graphic designs.

This tool performs color extraction in the browser using the HTML Canvas API to access raw pixel data via getImageData(). The sampled pixels are clustered by RGB proximity, and up to 8 dominant colors are returned as hex codes with color swatches. Each swatch is clickable to copy the hex value. Applications include design system color selection, brand color extraction from logos, CSS theme generation, and art analysis.

Common Use Cases

Extracting brand colors from logos and product photos

Brand designers and web developers need to match their CSS color scheme to a client's existing visual assets. Uploading a brand logo or product photograph to the palette extractor identifies the dominant colors in hex format, which can be directly used as CSS custom properties, Tailwind theme colors, or design token values. This eliminates the guesswork of manually eyedropping colors in a design tool.

Generating cohesive color themes for web design

When designing a website around a hero image or photography, extracting the image's color palette ensures the UI color scheme harmonizes with the visual content. A travel blog post featuring a sunset photo can derive its accent colors, background tones, and text colors from the image palette, creating a visually unified design. Extracted colors serve as a starting point that is refined in a design tool like Figma or Adobe XD.

Analyzing color composition in art and photography

Art students, photographers, and visual designers analyze the color composition of reference images to understand how master photographers and painters construct their color stories. Extracting a color palette from a Rembrandt painting, a National Geographic photograph, or a cinematographic still reveals the limited, intentional color range used to create mood and visual coherence — an educational exercise that quantifies intuitive visual analysis.

How to Use

  1. Drop or click the upload area to open any image file.
  2. The tool samples pixels across the image to identify dominant colors.
  3. Up to 8 dominant colors are displayed as swatches with their HEX values.
  4. Click any color swatch to copy the HEX code to your clipboard.
  5. Use the extracted colors in your design tools, CSS, or brand guidelines.

How Color Extraction Works

The image is drawn onto a canvas element and pixel data is sampled at regular intervals. Colors are then clustered by proximity in RGB space to find the most representative dominant shades.

Common Use Cases