Color Palette Extractor
Extract dominant colors from images - perfect for designers creating color schemes. Get HEX codes and export as CSS or JSON.
or drag and drop here
PNG, JPG, WebP
Extracted Color Palette
Free Color Palette Extractor - Extract Colors from Any Image
Automatically extract dominant colors from any image with our free online color palette extractor. Upload a photo and instantly see the 5-10 most prominent colors presented as beautiful swatches with HEX, RGB, and HSL codes. Uses median cut algorithm for accurate color representation. Perfect for designers building color schemes, developers creating cohesive UIs, marketers analyzing brand colors, and anyone needing to extract professional color palettes from photographs or artwork. Export results as CSS variables or JSON for direct use in projects. All processing in your browser - no uploads required.
How to Extract Colors from Images
- Upload Image: Click to select or drag-drop any photo, design, or artwork. Supports JPEG, PNG, WebP, and other formats.
- Set Color Count: Choose 5 or 10 dominant colors to extract depending on how detailed a palette you need.
- Automatic Analysis: The median cut algorithm analyzes your entire image and identifies the most statistically significant colors.
- View Palette: Color swatches display with their HEX, RGB, and HSL values for each dominant color.
- Copy Colors: Click any color code to copy it instantly, or export the entire palette as CSS or JSON.
Key Features
- Median Cut Algorithm: Professional color quantization technique that identifies truly dominant colors, not just randomly sampled pixels.
- 5-10 Colors: Choose how many dominant colors to extract based on your needs.
- Three Color Formats: HEX, RGB, and HSL codes for every extracted color, ready for any workflow.
- CSS Export: Download palette as CSS custom properties for immediate use in web projects.
- JSON Export: Machine-readable format for JavaScript applications, design tools, and APIs.
- Click-to-Copy: Single click to copy any color code to clipboard.
- 100% Private: All extraction happens locally in your browser. Images never leave your device.
Common Use Cases
- Brand Color Analysis: Extract color palettes from competitor logos, brand materials, or inspiration images to understand their visual identity.
- Web Design: Build website color schemes from photography, illustrations, or mood boards. Export as CSS variables for immediate development use.
- UI/UX Design: Create cohesive color systems by extracting from nature photos, artwork, or reference images in your design tools.
- Social Media Aesthetic: Identify the colors that define a particular Instagram aesthetic and recreate them for consistent visual branding.
- Interior Design: Extract color palettes from room inspiration photos to coordinate paint, fabric, and furniture selections.
- Fashion Design: Identify seasonal color trends from runway photos or create capsule wardrobes based on extracted palettes.
- Digital Art: Extract color palettes from master paintings or nature reference photos to use as your working palette.
- Data Visualization: Extract harmonious color sets from images for charts, graphs, and infographic designs.
Understanding Color Palette Extraction
The median cut algorithm works by analyzing all pixels in an image and recursively dividing the color space into regions. Colors within each region are averaged to find representative dominant colors. This approach is superior to simple random sampling because it ensures all significant color regions are represented, not just randomly selected pixels.
The algorithm identifies colors that appear frequently and span large areas of the image - the colors that define its visual character. Noise, minor details, and transitional pixels are filtered out, leaving only the core palette.
Tips for Best Color Extraction
- High-Quality Source: Use high-resolution images for more accurate color analysis. Compressed or pixelated images may show inaccurate results.
- 5 Colors for Simple Images: For images with a clear dominant palette (landscapes, product photos), 5 colors usually captures the essence.
- 10 Colors for Complex Images: For detailed artwork, cityscapes, or multi-color designs, 10 colors provides more comprehensive coverage.
- Adjust for Lighting: Photos taken in warm/cool lighting will have color-shifted palettes. For true color extraction, use neutrally-lit images.
- Compare Multiple Images: Extract from several similar images and compare to find consistent brand or aesthetic colors.
Frequently Asked Questions
How is this different from the Image Color Picker?
The Color Picker extracts single pixels by clicking specific locations - you choose exactly which color to capture. The Palette Extractor automatically analyzes the entire image and identifies dominant colors without any clicking. Use Color Picker for precise single-color identification; use Palette Extractor when you want an overview of an image's complete color scheme.
Why doesn't my extracted palette match what I see in the image?
The algorithm extracts statistically dominant colors, not necessarily the most visually striking ones. Small bright areas (like a tiny red flower) may not appear if they don't constitute a significant portion of total pixels. Adjust color count up to 10 to capture more subtle colors.
Can I use extracted colors in professional design work?
Absolutely. The HEX, RGB, and HSL codes provided are standard color formats accepted by all design software (Figma, Adobe, Sketch), CSS, and web frameworks. Export as CSS variables for immediate development use.
Are my images uploaded anywhere?
No. Color extraction happens entirely in your browser using HTML5 Canvas. Images never leave your device, ensuring complete privacy for proprietary designs or client materials.