AI Color Palette Extractor

Create a tool that extracts dominant color palettes from uploaded images using computer vision. Display palettes with HEX, RGB, and HSL values, suggest complementary colors, and let users export palettes for design tools like Figma or Tailwind config.

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Objectives

Extract dominant colors from uploaded images using k-means clustering or an API
Display color swatches with HEX, RGB, and HSL values
Generate complementary, analogous, and triadic palette suggestions
Allow users to copy individual color values with one click
Export palettes as CSS variables, Tailwind config, or Figma-compatible JSON

Hints

The Canvas API getImageData method lets you access individual pixel colors
Use a k-means clustering algorithm to group similar colors into a palette
Libraries like colord or chroma.js make color space conversions easy

Resources

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