How does the dominant color finder work?

The tool utilizes a browser-based algorithm called color quantization. It loads your image onto a canvas, analyzes the pixels, groups similar colors into clusters, and then identifies the average color of the largest and most prominent clusters. This method efficiently provides a representative palette of the image's main colors without needing server-side processing.

How accurate is the dominant color detection?

The accuracy in identifying the most frequently occurring colors is very high. 'Dominance' can be subjective—a small, bright object might seem more dominant to the eye than a large, muted background. Our algorithm prioritizes the colors that are most prevalent by pixel count, providing an objective and reliable color palette from the photo.

Why do the results change when I adjust the palette size?

When you increase the palette size, you allow the algorithm to create more distinct color groups. This enables it to pick out more subtle secondary and tertiary shades that might have been merged into a larger color group at a smaller palette size. A small palette gives you the broadest primary colors; a larger one gives you a more nuanced color scheme.

Can I use this to generate CSS or Tailwind color palettes from an image?

Yes, absolutely! This is a perfect tool for that workflow. Once you extract the HEX codes, you can easily format them for your projects. For CSS, you can create custom properties like `--primary-color: #f4c2c2;`. For Tailwind CSS, you can add these colors to the `theme.extend.colors` object in your `tailwind.config.js` file.

Does this tool work if my image has a transparent background?

Yes. Our dominant color finder is designed to ignore fully transparent pixels (alpha value of 0). It will only analyze the opaque parts of your image to generate the color palette, making it effective for logos and graphics with transparency.