What Is a Color Palette Extractor?
Designers and developers often need the key colors of an image — to match a brand, build a theme, or pick accents from a photo. Eyedropping them one by one is slow. This free Image Color Palette tool samples your image in the browser, groups similar colors and shows the dominant ones with their HEX codes and coverage, ready to copy. Your image is never uploaded.
A color palette extractor analyses an image and identifies its dominant colors — the hues that appear most frequently or most prominently. This is useful in graphic design, branding, web development and data visualisation. Instead of manually sampling colors with an eyedropper tool, the extractor gives you an instant overview of an image's color story.
How to use it
- Drop or select an image.
- Choose how many colors to extract.
- Copy any HEX code you need.
Use Cases
- Extracting a brand color palette from a logo or product image to use consistently in CSS, design tools or marketing materials.
- Finding the dominant colors in a photo to use as an accent or background color in a web layout.
- Analysing the color composition of artwork, photography or illustration to understand its visual tone.
- Generating a complementary color scheme based on an existing image for a design project.
How Color Extraction Works
The tool draws the image on an off-screen HTML Canvas and reads every pixel's RGB value using getImageData(). To find dominant colors, it uses a quantisation algorithm: it groups millions of individual pixel colors into clusters of similar colors, then reports the centroid (average) of each cluster. The result is a small set of representative colors that describe the image's palette.
The extracted HEX codes are immediately copyable. Each color swatch shows the HEX value and, on hover, the RGB breakdown. Because the quantisation runs on a downscaled version of the image, it is fast even for large photos.
Why use this tool
- Dominant colors ranked by coverage.
- One-click HEX copy per swatch.
- Runs in your browser — nothing is uploaded.
Privacy
All processing runs in your browser. Images you upload are never sent to our servers. The pixel analysis is done entirely by canvas.getImageData() in client-side JavaScript.