Color Palette Extractor
What is Color Palette Extractor
The Color Palette Extractor analyzes any image you upload and automatically identifies its most dominant colors. It returns up to 10 colors as HEX, RGB, and HSL codes you can copy with a single click and use directly in your designs, presentations, or code.
How to use
- Upload an image by clicking the drop zone or dragging a file onto it.
- Choose how many colors to extract: 4, 6, 8, or 10.
- Click any color swatch to copy its value to the clipboard.
- Switch the copy format between HEX, RGB, and HSL using the selector.
- Click 'Extract palette' again to re-analyze after changing the count.
When to use it
Need to match a landing page to the exact colors in a product photo? Drop the image in, choose 6 colors, and you get the HEX codes for the background, accent, and text shades. Paste them straight into your CSS, pull one into a slide deck, or hand the palette to a client so everyone works from the same brand colors.
Frequently asked questions
How are the dominant colors determined?
The tool samples pixels across the image, quantizes them into color buckets, and picks the most frequent ones while enforcing a minimum color distance between swatches. This ensures the palette is both representative and visually distinct.
Does my image get uploaded to a server?
No. All processing happens entirely in your browser using the Canvas API. Your image never leaves your device.
What image formats are supported?
JPEG, PNG, WebP, and GIF are supported. Very large images are automatically sampled at a reduced rate for performance.
What is the difference between HEX, RGB, and HSL?
HEX (#ff5500) is the standard format for CSS and design tools. RGB (rgb(255, 85, 0)) separates red, green, and blue channels. HSL (hsl(20, 100%, 50%)) expresses color as hue, saturation, and lightness — often easier to adjust manually.
Why does the palette sometimes not match all colors I can see?
The tool extracts dominant colors by frequency, so small areas of vivid color may be omitted if they represent only a tiny fraction of the image. Increasing the count to 10 colors helps surface more of the image's color range.
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