Extract Color Palette from Image
Upload any image and instantly extract its dominant colors. Perfect for creating color schemes from photos.
Drop your image here or click to upload
Supports JPG, PNG, GIF up to 10MB
How It Works
Our color palette extractor uses advanced K-means clustering to analyze your image and identify the most dominant colors. The algorithm processes every pixel, groups similar colors together, and returns the most representative shades from your image.
All processing happens directly in your browser using JavaScript and the HTML5 Canvas API. Your images never leave your device, ensuring complete privacy and instant results without server delays.
- Upload your image - the tool reads pixel data using Canvas API
- K-means clustering analyzes color distribution across the entire image
- Dominant colors are extracted and sorted by prominence
- Each color is converted to HEX, RGB, and HSL formats with nearest color names
- Copy individual colors or export the entire palette as CSS variables
Use Cases
Brand Identity & Logo Design
Extract colors from competitor logos, product packaging, or brand photography to create cohesive brand palettes. Designers use this to reverse-engineer successful color schemes or ensure brand consistency across materials.
Web & UI Design
Pull accent colors from hero images, match website themes to product photos, or create color schemes that complement existing visual assets. Perfect for developers who need exact HEX codes from design mockups.
Photography & Art
Analyze the color composition of photographs, paintings, or illustrations. Artists and photographers use this to understand color relationships in successful work or to create complementary palettes for new projects.
Social Media & Content Creation
Extract colors from trending posts, create consistent Instagram themes, or match graphics to brand guidelines. Content creators use this to maintain visual consistency across platforms.
Tips for Better Results
- →Use high-quality images: Higher resolution images with clear colors produce more accurate results than compressed or low-quality photos.
- →Crop to focus area: If you only need colors from a specific part of an image, crop it first to avoid extracting unwanted background colors.
- →Adjust color count: Start with 5 colors for balanced palettes. Use 3-4 for minimalist designs or 6-8 for complex images with many distinct colors.
- →Consider lighting: Colors extracted from photos may look different under various lighting conditions. Test your palette in your actual design context.
- →Refine extracted colors: Use the extracted palette as a starting point, then adjust saturation or brightness to better fit your design needs.
Frequently Asked Questions
Q: What image formats are supported?
We support all common image formats including JPG, PNG, GIF, WebP, and more.
Q: Is my image uploaded to a server?
No! All color extraction happens in your browser. Your images are never uploaded to any server, ensuring complete privacy.
Q: How accurate is the color extraction?
Our tool uses K-means clustering algorithm to identify the most dominant colors in your image, providing accurate and visually representative results.
Q: Can I extract colors from photos taken on my phone?
Yes! Upload photos from any device. The tool works with images from cameras, phones, screenshots, or downloaded graphics.
Q: How many colors should I extract?
For brand palettes, 3-5 colors work best. For design inspiration, try 6-8 colors to capture more variety from your image.