Color Palette Extractor Online Free
Upload any image and instantly extract its dominant color palette. Get HEX, RGB, and HSL values for every color. Copy any value with one click. No signup, no install.
Why Use a Color Palette Extractor Online Free
When you are designing around an existing photo or brand image, picking colors manually is slow and imprecise. You end up eyeballing hex values or screenshotting into Photoshop just to find what colors are in your image. That is a lot of steps for something that should take seconds.
This color palette extractor online free uses k-means clustering directly in your browser to find the true dominant colors in any image. Upload, adjust the count, pick your sort order, and copy the colors in HEX, RGB, or HSL. Everything runs locally. Your image never touches a server.
What this tool does
How to extract colors from an image
Upload your image
Drop an image onto the upload zone or click to browse. PNG, JPG, WEBP, GIF, BMP, and SVG all work.
Set the color count
Drag the slider to pick how many colors you want, from 2 to 20. The tool re-runs instantly.
Choose format and sort
Switch between HEX, RGB, and HSL. Sort by frequency, brightness, hue, or saturation.
Copy or export
Click any color chip to copy it. Use the export panel to download a PNG or copy CSS variables, JSON, or text.
FAQ: Color Palette Extractor Online Free
Yes, completely free. No account, no signup, no watermark, and no payment at any point. The tool works entirely in your browser.
The tool uses a k-means clustering algorithm running entirely in JavaScript. It samples pixel data from your image, groups similar colors into clusters, and returns the center color of each cluster as a dominant color. This approach gives you perceptually distinct colors rather than raw pixel values.
No. Everything runs locally in your browser using the HTML5 Canvas API and the FileReader API. Your image is read into memory and processed on your device. Nothing is sent to any server.
The tool accepts PNG, JPG, WEBP, GIF, BMP, and SVG files. Any format your browser can render as an image element will work. Large images are automatically downsampled before processing to keep it fast.
Sorting by frequency shows the most common colors first. This is useful for finding the dominant mood of the image. Sorting by brightness orders colors from lightest to darkest, which is helpful when building a tonal scale. Sorting by hue arranges colors around the color wheel, and sorting by saturation puts the most vivid colors first.
Click Export as CSS Variables. The tool copies a :root block with each color as –color-1, –color-2, and so on. Paste it at the top of your stylesheet and reference the variables anywhere in your CSS.
K-means clustering returns the average center of a color cluster, not an exact pixel color. The result is a representative dominant color for a group of similar pixels. You can increase the color count to get more specific clusters, or reduce it for a broader, more simplified palette.