Image Color Extractor
Extract color palette from images. Get dominant colors with HEX and RGB values.
Upload an image to extract its color palette
Upload an image and extract its color palette. Get the dominant colors with their HEX and RGB values, along with color frequency percentages.
Every image has a dominant color palette — the handful of hues that occupy most of the pixels. Designers pull these palettes to build brand systems around reference photos, match UI accent colors to hero images, or generate accessible text colors that harmonize with a background. The naive approach is eyedropping a few pixels, which misses the actual distribution. Proper extraction samples the whole image and clusters similar colors together.
This tool runs k-means clustering (or a median cut algorithm) over the image pixels to find the N most representative colors, ranked by how much of the image each one covers. You get HEX and RGB values for each color plus the percentage of image area it represents. A photo of a forest might return 40% green, 25% brown, 15% sky blue, 10% shadow, 10% highlight — numbers you can drop into a design token file or Tailwind config.
Typical users are brand designers building a palette from a mood-board image, web developers matching an accent color to a hero photo, data-viz people picking chart colors that complement a page, and illustrators analyzing reference art. Because extraction runs in the browser, you can analyze client-owned imagery or unreleased brand assets without uploading them.
- 1
Upload an image
Drop in any photo or illustration. JPEG, PNG, and WebP all work. The preview appears alongside an empty palette placeholder.
- 2
Extract the palette
The tool samples pixels, clusters similar colors, and returns the top N dominant hues with HEX, RGB, and percentage coverage for each.
- 3
Copy or export colors
Click any swatch to copy its HEX or RGB value. Some versions let you export the full palette as a CSS variables block or JSON.
Brand palette from moodboard
Extract dominant colors from a reference photo or mood board image to bootstrap a brand's color system.
UI accent color matching
Pull the dominant hue from a hero image to use as a CTA button color, ensuring the button harmonizes with the page.
Data viz color selection
Generate chart colors that visually tie into an article's lead image instead of defaulting to matplotlib blue or Tailwind indigo.
Product photography analysis
Quantify the color distribution of product shots to ensure visual consistency across a catalog.
How many colors does it extract?
Typically 5–10 dominant colors, with the number configurable. More colors means finer granularity but less distinct clusters — 5 is usually enough for a brand palette.
What algorithm does it use?
K-means clustering or median cut, both standard approaches for color quantization. Both group similar pixels and return cluster centroids ranked by size.
Do percentages account for transparency?
Transparent pixels (alpha = 0) are typically skipped so they don't pollute the palette with the page background color. Partially transparent pixels are weighted by alpha.
Can I get a palette in a specific format?
The tool outputs HEX and RGB. You can paste these directly into CSS variables, a Tailwind config, Figma, or any design file. Some versions also export a JSON palette.
Is my image uploaded anywhere?
No. The color clustering runs entirely in your browser. Your image stays on your device, which matters for unreleased product shots or client-owned imagery.