Color Palette Extractor

Generate professional color palettes from any image. Get HEX, RGB, and HSL codes with one-click copying and JSON export.

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HEX, RGB, HSL

Get all color formats with one-click copying.

Smart Extraction

Automatic dominant color detection and palette generation.

Export Palette

Download as JSON, CSS custom properties, or Tailwind config.

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How it works

How color extraction works

The tool samples pixels across your image and groups similar tones using k-means clustering. Dominant clusters become your palette — the 5–8 colors that define the image's visual identity. Results include HEX, RGB, and HSL values ready for CSS, Figma, or any design tool. The algorithm weighs pixel frequency and spatial distribution to prioritize colors that truly dominate the composition over minor accent tones. Learn more in our color palette extraction guide.

What designers use it for

Build a brand palette from product photography, match website colors to hero images, or analyze competitor visual identity. Use the Similarity Scanner alongside to compare how closely two images match in overall tone and composition. Click any swatch to copy its value instantly. Export the full palette as JSON for your design system or style guide. Interior designers use it to extract wall and furniture tones from inspiration photos. Marketing teams pull color schemes from campaign images for consistency across collateral.

How it compares

Browser extensions and desktop tools like Adobe Color can extract palettes, but they require installation and often lock results behind accounts. Scanly's palette extractor runs entirely in the browser with no signup — upload an image, get colors, copy values. Unlike eyedropper tools that pick single pixels, k-means clustering analyzes the entire image to find statistically dominant color groups, producing more representative palettes.

Tips for best palettes

Use high-quality source images — heavily compressed JPEGs introduce color banding that skews results. Crop to the area of interest before uploading if you want colors from a specific region rather than the entire frame. Photos with a clear subject and limited background noise produce the most useful palettes. Pair with the Quality Analyzer to verify image resolution and sharpness alongside your color workflow. For batch processing, run multiple product photos through the Batch Scanner first to verify image quality before extracting palettes.

Color is one of the most powerful elements in visual communication — it influences brand perception, user experience, and emotional response. Extracting a palette from an existing image gives designers a concrete starting point grounded in real-world visual data rather than abstract theory. This is especially useful when building websites around hero photography, creating social media templates that match brand imagery, or developing mood boards from reference photos. For related image analysis, the color extraction tool page covers format-specific nuances, and the image optimization hub explains how color depth and compression affect image quality and file size. Whether you are building a website, designing print materials, or creating social media assets, starting from real image colors ensures visual coherence across your project.

Frequently Asked Questions

How does color extraction work?

The tool samples pixels across the image and groups similar colors using k-means clustering. The largest clusters become your dominant colors.

What color formats are provided?

HEX for web/CSS, RGB for programming and editing, and HSL for creating color variations. Click any swatch to copy.

How many colors should I extract?

3–5 for a focused brand palette, 8–10 for a comprehensive breakdown. More colors captures subtlety but can be harder to work with.

Can I use extracted colors commercially?

Yes. Color values are not copyrightable. Extract from any image and use the palette in your designs, websites, or branding.

Why do results vary between uploads?

K-means uses random starting points, so minor variations are normal. Dominant colors will be consistent — only edge cases may shift slightly.