Free Palette Extractor from Image - Extract Color Palette

Extract dominant colors from any image to build a color palette. Adjust the number of colors, view hex values and percentages, and export as hex list or CSS variables. All client-side.

Drop an image here or click to browse

Extract dominant colors instantly.

What Is a Palette Extractor from Image?

A palette extractor from image is a tool that analyzes any image and extracts its dominant colors into a clean, usable color palette. A free online palette extractor like TooliFyra lets you extract color palette from image files with adjustable color counts and two powerful algorithms — all processed directly in your browser without uploading your images.

Why Use a Palette Extractor from Image?

Understanding the color composition of an image is essential for design consistency. A extract color palette from image tool helps designers create harmonious color schemes from reference photos, developers build CSS variable sets from mockups, and artists analyze color usage in their work — all instantly and accurately.

Key Features

Dominant Color ExtractionAutomatically finds the most used colors in any image using advanced algorithms.
Adjustable Color CountChoose between 2 and 20 colors to fine-tune your extracted palette.
K-Means and Quantize AlgorithmsTwo sampling methods for different needs — accuracy or speed.
Copy as CSS VariablesExport your palette as ready-to-use CSS custom properties.
Copy as HEX ListGet a simple comma-separated list of hex color values.
100% Client-Side ProcessingYour image stays on your device — no server uploads, complete privacy.

How to Use the Palette Extractor from Image

Follow these simple steps to extract color palette from image files:

  1. Upload an Image: Drag and drop any image into the extractor or click to browse and select a file from your device.
  2. Adjust Palette Settings: Set the number of colors (2-20) and choose between K-Means Clustering for accuracy or Quantize for speed.
  3. Extract the Palette: Click "Extract Palette" to analyze the image and generate the dominant color palette instantly.
  4. Export Your Colors: Copy the palette as CSS variables or a HEX list, or click individual swatches to copy specific colors.

Benefits of Using TooliFyra's Palette Extractor

Designers can extract brand color schemes from reference images and mood boards. Developers can build CSS variable sets from design mockups with a single click. Artists can analyze color usage and distribution in their artwork. Brand managers can identify exact colors used in marketing materials for consistency across channels.

Use Cases and Applications

Building brand color palettes from logos and marketing materials, analyzing color schemes in photography and artwork, creating CSS variable sets from design mockups, educational color theory analysis, matching paint or material colors from photos, and generating harmonious color palettes for UI design projects.

Why Choose TooliFyra for Palette Extraction?

TooliFyra's palette extractor offers two powerful algorithms — K-Means for accuracy and Quantize for speed — with easy one-click CSS and HEX export. It is 100% free, requires no sign-up, and processes everything in your browser so your images never leave your device.

Frequently Asked Questions

K-Means Clustering gives more accurate and representative colors but is slower on large images. Quantize (median cut) is faster and works well for most use cases. Choose K-Means for precision, Quantize for speed.

You can extract between 2 and 20 colors. For most images, 6-10 colors provide a good balance between detail and usability.

Yes — you can copy the palette as CSS custom properties (--color-1 through --color-n) or as a simple comma-separated HEX list for use in any design tool or code editor.

No, all processing happens entirely in your browser. Your image data never leaves your device, ensuring complete privacy and security.

Any image format supported by your browser, including JPG, PNG, GIF, WebP, BMP, and SVG. Simply drag and drop or browse to upload.