🎨Image Color Palette & Contrast Extractor Documentation & Guide
Media & Audio
The Image Color Palette & Contrast Extractor analyzes uploaded images client-side via k-means color quantization, extracting the dominant color palette with synchronized HEX, RGB, OKLCH, and HSL values alongside WCAG 2.2 accessibility contrast audit pairs.
📋How to Use This Tool
- Upload Image File: Drag and drop any JPEG, PNG, WebP, or SVG file. The image is processed entirely within your browser's canvas memory.
- Configure Palette Sample Size: Choose how many dominant swatches to extract (5, 8, 10, or 12 colors) and color quantization precision.
- Click Extract Color Palette: Click Extract Color Palette to run the k-means clustering algorithm and render the interactive color swatches.
- Copy Color Codes or Export CSS: Click any color swatch to copy HEX or OKLCH values, or export complete Tailwind CSS and CSS Variable design token blocks.
⚙️Technical & Educational Details
Extracts raw ImageData pixels from an HTML5 Canvas context and groups 3D RGB color vectors using median cut and k-means clustering. Perceptually uniform OKLCH coordinates are computed using linear sRGB to CIE XYZ to Oklab matrix transformations to ensure luminance accuracy.
• Color Quantization: Client-side k-means clustering with Euclidean color distance optimization
• Supported Color Formats: Hexadecimal (#RRGGBB), RGB (rgb(r, g, b)), OKLCH (oklch(L C H)), and HSL
• WCAG 2.2 Rating: Automated contrast ratio computation against black (#000000) and white (#ffffff) for AA/AAA compliance
💡Practical Use Cases & Best Practices
- Extracting brand color schemes and mood boards from photography, logos, and UI screenshot references.
- Generating accessible website design tokens and CSS variables directly aligned with product imagery.
- Auditing dominant background colors to select high-contrast foreground text colors for social media banners.
100% Client-Side Privacy Guarantee:All calculations, text manipulation, cryptographic hashing, and media conversions execute exclusively within your local browser sandbox. Zero user inputs, financial amounts, credentials, or proprietary files are ever transmitted across networks or logged on external servers.
