Image Color Palette Extractor

Workflow & Usage

1. Upload an image Drag & drop or click to select a single JPG, PNG, or WebP file. As soon as the image loads, the tool extracts its color palette automatically.

2. View the extracted palette You’ll immediately see:

   • A preview of the image
   • A list of semantic swatches (Vibrant, Muted, DarkVibrant, etc.)
   • HEX and RGB values
   • A corresponding CSS variable name for each color

3. Copy CSS or JSON Two code boxes appear on the right:

   • CSS Variables — copy a ready-to-paste :root block
   • JSON Tokens — ideal for design systems or style dictionaries

4. Refine or replace Click Clear to remove the current image and load another. The palette regenerates instantly.

Use Cases

• Theme & UI design Get natural color sets for buttons, backgrounds, and accents based directly on your hero images or screenshots.

• Branding & identity work Turn photos, product shots, or logos into consistent color palettes.

• Social & marketing design Build cohesive visuals based on extracted brand-aligned colors.

• Front-end development Copy CSS variables or import JSON tokens into Tailwind, React apps, Astro projects, or design token pipelines.

• Photography & creative workflows Extract dominant tones for editing decisions, LUTs, or style guides.

Tips for Best Results

• Use images with clear color regions. Vibrant works best when there are strong subjects or distinct areas.

• Avoid tiny or noisy images. Larger, cleaner pictures create more accurate palette clusters.

• Use semantic roles intentionally.

  • Vibrant often makes a strong accent
  • Muted is good for backgrounds
  • DarkMuted and DarkVibrant can support contrast themes

• Copy CSS variables for theme overrides. Works perfectly with Tailwind’s theme.extend.colors.

How It Works

This tool is fast and fully privacy-preserving, powered by modern browser APIs:

• Canvas rendering The uploaded image is decoded and analyzed pixel-by-pixel inside your browser.

• node-vibrant color clustering Uses MMCQ (median cut quantization) to determine perceptually important colors.

• Semantic swatch mapping Colors are intelligently labeled (Vibrant, Muted, etc.) to make the palette more design-ready.

• On-device execution No servers, no uploads, no tracking — everything happens locally using Canvas, Web APIs, and optimized color algorithms.

• Export-friendly output CSS variables and JSON tokens are generated automatically for easy reuse in modern design systems.