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Extract Colors from Image – Free Online Tool

Extract dominant colors from images. Get color palettes from any photo.

Example Output

Dominant colours discovered via k-means clustering on the image pixels.

sunset-photo.jpg
5 swatches: #FF8C42, #FF5733, #FFC857, #4A4E69, #22223B

What is Extract Colors from Image?

Extract Colors discovers the dominant colours in an image using clustering. Returns a palette of 5-10 swatches with HEX codes — useful for building brand colour schemes from inspiration photos, themes for slide decks, and design systems anchored to a reference image.

Why use this tool?

  • Stable behavior across visits — no surprise version drift
  • Your data stays private — all processing happens locally in the browser
  • No telemetry, no tracking pixels, no third-party scripts
  • Output preserves color profile and metadata except when stripping is explicitly requested
  • Supports PNG, JPG, WebP, GIF, and SVG with consistent quality across formats

How to use

  1. Drop an image
  2. The tool analyses dominant colours via clustering
  3. See 5-10 swatches with their HEX values and proportional weight
  4. Copy individual swatches or download the full palette

Examples

Build a brand palette from a photo

Drop your favourite "vibe" photo, get a 5-colour palette that captures its mood, refine in Color Palette Generator.

Match a slide deck to a hero image

Extract palette from the title slide's photo, apply those colours throughout for visual cohesion.

Common use cases

  • Brand palette inspiration from photos
  • Slide deck colour cohesion
  • Theme creation from album covers, posters
  • Identifying dominant colours in product photos for e-commerce

Troubleshooting

Palette doesn't include a colour I expected to see.
The algorithm picks dominant clusters by pixel count. A small but visually striking accent might be too few pixels to cluster — use Image Color Picker to grab it manually.

Frequently Asked Questions

The tool analyzes your image and identifies the most frequently occurring colors. It groups similar colors together and ranks them by how much of the image they cover, giving you the dominant color palette.

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