Color Palette Generator from Image - Extract Colors to Code
Steal color schemes from any image. This palette extractor analyzes photos and generates dominant palettes you can use immediately in design systems and UI work. Upload a sunset photo to get a warm palette, or upload a product shot to extract brand-consistent colors. Choose a palette size (typically 3–10 colors) and export as Tailwind CSS config, CSS variables, or raw hex codes for Figma tokens. The extraction uses k-means clustering to group similar pixels, which produces cleaner, more usable results than simple averaging. Free, no signup, and runs locally in your browser (images are not uploaded). Tip: extract 5 colors for UI, then validate text contrast (aim for 4.5:1 or better) before shipping.
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Color Palette
Generated Code
How It Works
- 1.Upload an image (logo, photo, design mockup)
- 2.Canvas API analyzes pixel data using k-means clustering
- 3.Extracts dominant colors and generates code
- 4.Copy-paste directly into your project
How to Extract Color Palettes
- Upload an image - Photo, artwork, screenshot, or logo
- Set palette size - Choose 3-10 dominant colors to extract
- View color analysis - See colors ranked by prevalence
- Export to code - Get Tailwind config, CSS vars, or hex array
The Science of Color Extraction
K-means clustering algorithm groups similar pixels into color clusters. The tool samples image pixels, calculates distances in RGB color space, iteratively refines cluster centroids, then returns the dominant colors: for each pixel: assign to nearest cluster centroid. More accurate than simple averaging.
Why extract colors from images: Instead of guessing complementary colors or using generic palettes, extract from real-world sources that already work aesthetically. Nature photos contain perfectly balanced color harmonies. Brand photos contain exact corporate colors.
Pro tip: Upload multiple related images (product photos from same photoshoot) to find consistent brand colors. For UI palettes, extract from high-quality photography with good lighting. Avoid busy images - simpler compositions yield cleaner palettes. Use extracted colors as starting points, then adjust saturation/lightness for accessibility.