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Image Color Extractor

Extract dominant colors from any image instantly. Pick colors directly from photos, get HEX/RGB/HSL values, and export palettes for your design projects.

What is Image Color Extractor?

Image Color Extractor is a powerful tool that analyzes any image and identifies its dominant colors. Whether you're a designer seeking inspiration from photographs, a developer building a themed interface, or anyone who needs to capture colors from visual content, this tool makes the process instant and effortless.

Why Extract Colors from Images?

Colors play a crucial role in design, branding, and visual communication. Extracting colors from images helps you:

Create Cohesive Designs

Build color palettes that match your inspiration images perfectly

Maintain Brand Consistency

Extract exact colors from logos and brand materials

Speed Up Your Workflow

Get accurate color values in seconds instead of guessing

Discover Color Harmonies

See how colors work together in successful designs

How It Works

The tool uses K-means clustering algorithm to analyze pixel data and identify the most prominent colors in your image. This intelligent approach groups similar colors together and finds the true dominant colors, not just the most frequent individual pixels.

Smart Algorithm: K-means clustering produces more accurate and visually meaningful palettes that reflect how humans perceive the image, rather than just counting pixels.

Your Data Stays Private

All processing happens in your browser:

  • No uploads - Images never leave your device
  • No tracking - We don't collect usage data
  • Instant results - No server processing delays

How to Use Image Color Extractor

1

Upload Your Image

You have three ways to add an image:

  • Click to browse - Click the upload area and select an image from your device
  • Drag and drop - Drag an image file directly onto the upload zone
  • Paste from clipboard - Copy an image and press Ctrl + V (or Cmd + V on Mac)

Supported formats PNG, JPG, JPEG, WebP, and GIF

2

View Extracted Colors

Once uploaded, the tool automatically extracts dominant colors and displays them as color cards. Each card shows:

Color Preview

Visual swatch of the color

Prominence Bar

Shows how dominant this color is in the image

Color Name

Closest named color (e.g., "Dodger Blue", "Coral")

Color Values

HEX, RGB, and HSL formats with copy buttons
3

Pick Colors from Image

Want a specific color that wasn't automatically extracted? Use the color picker:

  • Hover over the image to see the crosshair indicator with live color preview
  • Click anywhere on the image to pick that exact color
  • For precise picking, click the Expand button to view the image in fullscreen mode
  • Picked colors appear in the "Picked Colors" section below the image
4

Adjust and Sort

Customize your results using the controls:

  • Color count slider - Extract between 3 and 15 colors
  • Sort dropdown - Arrange by prominence, brightness, or hue
  • Re-extract button - Generate a new palette with current settings
5

Copy and Export

Use your colors in your projects:

  • Click any color value - Copies that specific format to clipboard
  • Copy All button - Copies all HEX values at once
  • Export menu - Download as CSS variables, SCSS variables, JSON, or PNG image

Features

Smart Color Extraction

Using K-means clustering algorithm, the tool identifies truly dominant colors rather than just counting pixels. This produces more accurate and visually meaningful palettes that reflect how humans perceive the image.

Intelligent Analysis: The algorithm groups similar colors together to find dominant clusters, resulting in palettes that represent the true color story of your image.

Interactive Color Picker

The built-in color picker lets you select any color directly from your image:

Precision Crosshair

60px indicator with center color preview

Live Tooltip

Shows HEX value as you hover

Expand Mode

Fullscreen view for detailed color picking

Hidden Cursor

Clean interface while picking colors

Multiple Color Formats

Every extracted color is available in three formats:

HEX

Standard web format

  • Example: #3B82F6

RGB

Red, green, blue values

  • Example: rgb(59, 130, 246)

HSL

Hue, saturation, lightness

  • Example: hsl(217, 91%, 60%)

Color Naming

Each color is matched to its closest named color from a comprehensive database. This makes it easier to communicate about colors and understand their general characteristics.

Flexible Sorting

Organize your palette in three different ways:

  • Prominence - Most dominant colors first
  • Brightness - Lightest to darkest
  • Hue - Arranged by color wheel position

Export Options

Take your palette anywhere with multiple export formats:

CSS Variables

Ready-to-use custom properties for web projects

SCSS Variables

For Sass-based workflows

JSON

Structured data for programmatic use

PNG Image

Visual palette for presentations or mood boards

Palette History

Your extracted palettes are automatically saved to browser storage. Revisit previous extractions anytime without re-uploading images. Clear history when needed to start fresh.

Local Storage: Palettes are saved to your browser's local storage and persist across sessions, but are specific to your browser and device.

Frequently Asked Questions

What image formats are supported?

The tool supports PNG, JPG, JPEG, WebP, and GIF formats. For best results, use high-quality images with clear color distinctions.

How many colors can I extract?

You can extract between 3 and 15 colors using the slider control. The default is 3 colors, which works well for most images. Increase the count for images with more color variety.

Why don't I see a specific color from my image?

The automatic extraction focuses on dominant colors. If you need a specific color that wasn't extracted, use the color picker feature - hover over the image and click to pick any color directly.

How does the color picker work?

Hover your mouse over the image to see a crosshair indicator showing the color under your cursor. Click to add that color to your picked colors collection. Use the Expand button for a larger view and more precise picking.

What does "prominence" mean?

Prominence indicates how dominant a color is in the image. A color with 100% prominence is the most common, while lower percentages indicate less frequent colors. This helps you understand the color distribution in your image.

Are my images uploaded to a server?

No. All processing happens entirely in your browser using JavaScript. Your images never leave your device, ensuring complete privacy.

100% Private: Zero uploads, zero tracking, zero data collection.

Why do some colors look different from what I expected?

The K-means algorithm groups similar colors together to find dominant clusters. This means the extracted colors represent the average of color groups, which may differ slightly from individual pixels you see in the image.

How do I use the exported CSS variables?

Copy the CSS export and paste it into your stylesheet's :root selector. Then use the variables like var(--color-1) anywhere in your CSS.

CSS Example
:root {
  --color-1: #3B82F6;
  --color-2: #10B981;
  --color-3: #F59E0B;
}

.button {
  background-color: var(--color-1);
}

Is my palette history saved?

Yes, palettes are saved to your browser's local storage. They persist across sessions but are specific to your browser and device. Use the Clear History button to remove saved palettes.

Can I use this on mobile devices?

Yes, the tool is fully responsive and works on tablets and smartphones. On touch devices, tap to pick colors instead of hovering.

Drop image here or click to upload

PNG, JPG, GIF, WebP • Ctrl+V to paste

History
No history yet
Drag & drop or paste images directly from clipboard
Click anywhere on the image to pick specific colors
Use Expand mode for precise color picking with crosshair
Adjust the color count slider to extract 3-15 colors
Sort colors by prominence, brightness, or hue
Export palettes as CSS variables, SCSS, JSON, or PNG image
All processing happens in your browser - images never leave your device
Want to learn more? Read documentation →
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