Extract Palette

Drop image here, or browse image

Dominant Color

Palette

How to Use

🎨 Overview

Extract dominant colors and a full palette from any image. Supports JPG, PNG, GIF, WebP, and more for designers and developers.

📋 Supported Formats

  • Input: JPG, PNG, GIF, WebP, BMP, SVG, and other common formats.
  • Output: HEX values (e.g. #FF5733).
  • Color space: RGB.

💡 Steps

  1. Click the upload area or drag an image in.
  2. The image is analyzed and dominant colors are extracted.
  3. See the main color in the "Dominant" section.
  4. See the full palette in the "Palette" section.
  5. Click any swatch to copy its HEX value.

🎯 Use Cases

  • Web design color schemes.
  • UI/UX color inspiration.
  • Brand color analysis.
  • Print and graphic design references.
  • CSS color picking.
  • Art and color study.

✨ Highlights

  • Smart extraction: Color Thief algorithm for dominant tones.
  • Full palette: A representative multi-color swatch set.
  • One-click copy: Click a swatch to copy HEX.
  • Instant results: Palette appears right after upload.
  • Responsive: Works on different screen sizes.
  • Local only: Processing stays in the browser.

⚠️ Notes

  • Rich, high-contrast images usually give better palettes.
  • Keep files under ~10MB for speed.
  • Results vary with image quality and content.
  • A "Copied" toast appears for 3 seconds after copy.
  • Nothing is uploaded to a server.

💡 Tips

  • On busy images, the dominant color is usually the largest area.
  • Palette colors are ordered by importance.
  • Upload several images to compare schemes.
  • Save favorite HEX values in your design tools or notes.
  • Combine with other design apps using the copied values.

❓ FAQ

  • Why don’t the colors match what I expected?
    Extraction is algorithmic and depends on content and lighting. Use clear, high-contrast images.
  • How many colors are extracted?
    One dominant color plus a palette of the most representative colors in the image.
  • Do transparent PNGs work?
    Yes — transparent areas are not included in extraction.
  • How do I get more accurate colors?
    Use high-quality, saturated images; avoid heavy over- or under-exposure.