Image Color Extractor
Extract a dominant color palette from any image using quantization — get 5–10 key colors with Hex, RGB, and HSL codes.
Last updated: March 25, 2026
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Buy me a coffeeWhat is Image Color Extractor?
Images contain thousands to millions of unique pixel colors. An image color extractor uses color quantization algorithms to reduce this complexity into a small, representative palette — typically 5–10 dominant colors that best describe the visual character of the image. Unlike the eyedropper tool (which reads one specific pixel), a palette extractor finds the most statistically significant color clusters across the entire image.
The most common algorithm for this is Median Cut or k-Means clustering. Median Cut works by recursively splitting the color space into boxes and averaging the colors within each box. k-Means clustering groups pixels into k clusters by proximity in RGB color space, with each cluster center representing a dominant color. The output palette is useful for creating design systems that match photography, generating brand guidelines from mood boards, creating gradient backgrounds that match a photo's mood, or programmatically matching UI colors to user-uploaded content.
How to Use Image Color Extractor
Upload a photo, logo, screenshot, or any image using the "Upload Image" button or drag-and-drop
Choose the number of colors to extract (5 is ideal for logos, 8–12 for complex photographs)
Wait a moment while the quantization algorithm processes the image
View the extracted palette — each swatch shows Hex, RGB, and HSL values
Click any color swatch to copy its Hex code, or click "Export Palette" to download the full palette as a CSS, JSON, or ASE file
Common Use Cases
- Extracting a brand color palette from a company photography set for design system documentation
- Generating a background gradient that harmonizes with a hero section product photo
- Analyzing competitor brand colors by uploading their website screenshot
- Creating a mood board color palette from an inspirational photography collection
- Matching UI accent colors to a user-uploaded profile photo for a personalized interface
- Extracting color themes from a movie still or artwork for a creative project
- Building a Tailwind config color palette based on a product photography shoot
- Color-coding content categories by extracting representative colors from category imagery
Example Input and Output
Extracting a palette from a sunset photograph (8 colors):
Image: sunset-ocean.jpg
Algorithm: Median Cut
Colors to extract: 8🎨 Extracted Color Palette
Color 1 — Deep Navy #1A2744 RGB(26, 39, 68)
Color 2 — Ocean Blue #2E5FA3 RGB(46, 95, 163)
Color 3 — Warm Amber #E8922A RGB(232, 146, 42)
Color 4 — Golden Hour #F4C74D RGB(244, 199, 77)
Color 5 — Coral Pink #E86A5A RGB(232, 106, 90)
Color 6 — Sky Lavender #9A8FBF RGB(154, 143, 191)
Color 7 — Cloud White #F0EDE8 RGB(240, 237, 232)
Color 8 — Dark Shadow #0D1520 RGB(13, 21, 32)
CSS export: 8 custom property variables generatedTotal Privacy
Image color extraction runs entirely in your browser using Canvas API pixel reading and JavaScript quantization. Your images — including proprietary photography or confidential product visuals — are never uploaded to our servers.
CSS Variables Export
Export the extracted palette as CSS custom properties: :root { --palette-1: #1A2744; --palette-2: #2E5FA3; ... }. This makes the extracted colors immediately usable in your stylesheet. For Tailwind users, the JSON export can be pasted into the colors section of your tailwind.config.js extend object.
Color Accessibility Check
After extracting a palette, check color pairs for WCAG contrast compliance before using them as foreground/background text combinations. Dark palette colors on light palette colors should achieve at least 4.5:1 contrast ratio (WCAG AA for normal text) or 3:1 (for large text and UI components). Use the WebAIM Contrast Checker or this site's accessibility tools to verify before production use.
Frequently Asked Questions
How does color quantization work?
What is the difference between a dominant color and an average color?
Why do similar-looking images produce different palettes?
How many colors should I extract?
Why are some colors in my logo palette slightly off?
Can I extract colors from a URL instead of uploading a file?
How This Tool Works
The uploaded image is drawn onto an off-screen Canvas element. ctx.getImageData() reads all pixel RGBA values as a flat Uint8ClampedArray. The Median Cut algorithm (or k-means depending on implementation) processes this array to produce k cluster representative colors. Each cluster color is converted from its averaged RGB to Hex and HSL representations. The palette swatches are rendered and the export formats (CSS, JSON) are assembled from the extracted colors.
Technical Stack