Color Palette Extractor

Extract dominant colors from an image and copy the palette as HEX, RGB, or HSL values.

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Start Extracting Colors

Select an image to group its dominant colors and review HEX, RGB, HSL, and percentage values.

Color Palette Extractor

Upload an image to extract its dominant color palette with HEX, RGB, and HSL values. Includes interactive color picker to sample any specific color. 100% client-side processing for privacy.

Upload Image

Drop your image here

or click to browse files

Supports: JPG, PNG, GIF, WebP, HEIC • Max size: 3MB

🎨 Palette Information

Key features:

  • Extract up to 10 dominant colors
  • Interactive color picker/eyedropper
  • HEX, RGB, and HSL formats
  • Color frequency analysis
  • 100% client-side processing
  • No image uploads to servers

Ready to Extract Colors

Upload an image to extract its color palette.

How to Extract Color Palettes

  1. 1

    Upload Your Image

    Drag and drop an image file or click to browse. Supports JPG, PNG, GIF, and WebP formats. The tool processes images locally in your browser for privacy.

    Tip:For best results, use images with clear, distinct colors. Logos, illustrations, and product photos work particularly well.
  2. 2

    Automatic Color Extraction

    Our algorithm analyzes your image and extracts up to 10 dominant colors, showing their exact percentage coverage in the image.

    Tip:The extraction groups similar colors to find representative tones, not just the most frequent pixels.
  3. 3

    View Multiple Formats

    View each extracted color as HEX, RGB, and HSL values and switch the displayed format.

    Tip:HSL format is particularly useful for creating color variations - adjust lightness for shades and tints.
  4. 4

    Copy Color Values

    Click individual copy buttons for specific colors, or use 'Copy All' to get the complete palette with percentages for documentation.

    Tip:The copied palette includes percentage data, making it perfect for brand guidelines and design systems.
  5. 5

    Export and Apply

    Export your palette as CSS variables, JSON, or Adobe Swatch Exchange (.ASE) format for use in design tools and development projects.

    Tip:Save palettes from brand materials to maintain consistency across all your design projects.

Features & Benefits

🎯

Color Clustering

Groups similar colors together via client-side color quantization, producing a clean, organized palette instead of random pixel sampling.

🎨

Multiple Format Support

Copy colors as HEX, RGB, or HSL values for stylesheets, graphics, or programmatic use.

📊

Percentage Analysis

See exactly how much of your image each color represents, helping you understand visual weight and color balance.

🔒

Privacy-First Processing

Color extraction runs locally; selected image contents are not uploaded to Hostt.

💾

One-Click Export

Export palettes as CSS variables or JSON for use in code and design tools.

Real-Time Preview

See swatches update as you adjust the extraction settings.

Frequently Asked Questions

How does the color extraction algorithm work?

The tool analyzes pixels in your image and groups similar colors using client-side color quantization and clustering. It then returns representative colors with their percentage coverage. This produces more meaningful palettes than simple pixel counting.

What image formats are supported?

The tool supports JPEG, PNG, GIF, and WebP formats. For best results, use images with good color depth and contrast. Vector formats like SVG are converted to raster before processing. Maximum recommended file size is 3MB for optimal performance.

Why are the extracted colors different from what I expected?

The algorithm finds the most representative colors, not necessarily the most visually prominent ones. Factors like anti-aliasing, compression artifacts, and subtle gradients can affect results. For more accurate extraction from specific areas, consider cropping the image to your region of interest first.

Can I extract more than 10 colors?

The tool is optimized for 10 colors as this typically captures all significant colors while remaining manageable for design work. More colors often include subtle variations that aren't visually distinct. For specific needs, you can re-run the tool on cropped sections of your image.

How can I use the extracted colors in my design software?

Copy individual colors using the format your software prefers (HEX for web, RGB for most design tools). You can also export the entire palette as CSS variables for web development, JSON for programmtic use, or ASE format for Adobe Creative Suite applications.

Is my image data kept private?

Yes, absolutely. All processing happens directly in your browser using JavaScript and Canvas API. Your images are never uploaded to any server, and we cannot see or access them. Once you refresh the page, all image data is cleared from memory.

Use Cases & Applications

Brand Design

Brand Color Extraction

Extract exact colors from logos, marketing materials, or competitor websites to create cohesive brand palettes and maintain visual consistency.

Web Design

Website Theme Creation

Generate complete color schemes from inspiration images for websites, ensuring harmonious color combinations that work well together.

E-commerce

Product Photography Analysis

Analyze product images to identify dominant colors for e-commerce categorization, search filters, and visual merchandising strategies.

Interior Design

Interior Design Planning

Extract colors from room photos or inspiration images to create coordinated palettes for paint selection, furniture, and decor choices.

Digital Art

Digital Art Reference

Study color palettes from master artworks or photographs to understand color theory and apply similar schemes to your own creations.

Fashion Design

Fashion Color Trends

Analyze runway photos, street style, or seasonal collections to identify trending colors and create mood boards for fashion design.

Technical Specifications

🎨 Color Analysis

Color Extraction: K-means clustering algorithm
Palette Size: 2-20 dominant colors
Color Formats: HEX, RGB, HSL output
Accuracy: Perceptual color analysis
Image Support: JPEG, PNG, WebP, GIF
Processing: Canvas-based pixel analysis

⚙️ Performance Details

Processing: 100% client-side JavaScript
Max File Size: 50MB per image
Speed: Real-time color extraction
Export Options: CSS, JSON, text formats
Privacy: Images never uploaded
Browser Support: Modern browsers with Canvas API