Get Colors from Image

This chromatic analysis tool extracts dominant color palettes from uploaded images by sampling pixel data and identifying frequently occurring hues, returning collections of representative colors useful for design systems, brand identity documentation, or creative inspiration. The processor employs color quantization algorithms reducing millions of possible colors to manageable palettes capturing image essence.

Users upload source images (photographs, graphics, logos) and specify extraction parameters including palette size (number of colors to return, typically 5-10), sampling granularity (every pixel versus selective samples balancing accuracy against processing speed), and color space preferences (RGB for digital use, HEX for web development, HSL for design analysis). The algorithm analyzes image data through techniques like median cut, k-means clustering, or octree quantization, grouping similar pixels into color clusters and identifying centroids representing each group. Results display as swatches showing exact colors with multiple format representations (HEX, RGB,HSL), provide percentage breakdowns indicating relative color prevalence in source images, and offer sorting options ordering palettes by dominance, brightness, or hue progression.

Advanced features include manual color adjustment refining extracted shades through picker interfaces, palette expansion generating tints, shades, and complementary variations, and accessibility checking verifying contrast ratios between extracted colors for WCAG compliance. Export options produce CSS variables for direct stylesheet integration, JSON formatted data for design system documentation, Adobe Swatch Exchange files for professional tool import, or PNG palette images for visual reference. Common applications span establishing website color schemes inspired by hero photography, documenting brand colors from logo files, finding coordinating hues for design projects, analyzing competitor branding for competitive intelligence, or creating cohesive color stories for visual content. The tool handles various image formats preserving transparency channels, processes large files through canvas-based sampling, and operates client-side protecting proprietary imagery from server uploads.