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How It Works

1

Upload Image

Drop or select any image — JPG, PNG, WebP, or GIF.

2

Color Analysis

Pixels are sampled, quantized, and clustered to find the dominant colors in your image.

3

Copy Colors

Click any swatch to copy its hex value. Use in your designs, CSS, or color tools.

Frequently Asked Questions

How does color extraction work?
The tool draws your image onto an HTML Canvas, reads every pixel using getImageData(), then groups similar colors together using color quantization. It reduces each color channel to fewer levels, counts frequencies, and merges colors that are visually close to produce the final palette.
What is the difference between dominant and average color?
The dominant color is the most frequently occurring color in an image after quantization. The average color is computed by averaging all pixel values, which often produces a muddy middle tone. Dominant colors are more useful for design as they represent the actual colors you see in the image.
How can I use extracted colors in my designs?
Use the extracted palette as a starting point for web design, branding, or digital art. The dominant color works well as a primary brand color, while supporting colors can serve as accents or backgrounds. Copy the hex or RGB values directly into your design tools or CSS.
What is color harmony?
Color harmony refers to color combinations that are visually pleasing. Common harmonies include complementary (opposite on the color wheel), analogous (adjacent colors), triadic (three evenly spaced colors), and split-complementary. Extracted palettes from photos often exhibit natural color harmony.
How do I create complementary palettes from extracted colors?
Take any extracted color and find its complement by rotating 180 degrees on the color wheel (invert the hue). For example, a blue dominant color pairs with orange. Use the extracted palette as a base and add complementary accents for contrast in your designs.
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About Color Palette

What this tool does

Advanced image tools apply effects like blur, brightness, contrast, sepia, grayscale, vignette, pixelation, and noise. They also support background removal, color palette extraction, and image-to-text (OCR) conversion.

Why use this tool

Quick image adjustments are common when preparing visuals for presentations, social media, or print. These tools provide Photoshop-like filters without the complexity, subscription, or file-upload risk of cloud-based editors.

How it works

CSS filters and Canvas pixel manipulation handle most effects. Background removal uses edge-detection algorithms. OCR leverages Tesseract.js running in a Web Worker. Color palette extraction samples dominant colors using k-means clustering.

Pro tip

For background removal on product photos, shoot against a solid, high-contrast background. The cleaner the original, the better the automatic mask will be.

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