Image Color Palette

Why extract color palettes with Tools Root

A photo often contains exactly the color scheme a design needs — matching a website to a hero image, building a brand palette from a product shot, or picking accent colors from a reference photo. This free color palette extractor pulls the genuinely dominant colors out of any image directly in the browser.

Real clustering, not a naive pixel count

This uses median-cut color quantization, splitting the image's full set of pixels by actual color similarity rather than just tallying the single most frequent exact value — a method that correctly surfaces an image's true dominant colors instead of being thrown off by antialiasing noise or near-identical shades that a naive count would treat as separate.

A free hex code and color palette tool with instant copying

Rather than reading colors off a static preview and typing them out by hand, every extracted swatch here is click-to-copy, and the color count is adjustable from a tight 3-color palette up to a detailed 12-color breakdown — at no cost and with no image limit.

Common use cases

Building a website color scheme that matches a hero or header photo, extracting a brand's color palette from a product or logo image, picking complementary design colors from an inspiration photo, creating a color reference sheet from a piece of artwork, or matching text and UI colors to a background image for better visual harmony.

Using extracted colors elsewhere

Once you have hex codes in hand, Gradient Generator and Color Palette Generator can build on them further, or use them directly in any design tool's color picker.

Choosing how many colors to extract

A smaller color count, around 3 to 5, tends to give a clean, usable palette for something like a website theme, focused on just the genuinely dominant tones. A larger count, closer to 10 or 12, captures more of the image's subtle variation and secondary colors, useful when the goal is a more complete reference of everything present in the photo rather than a simplified summary of it.

Reading the population percentage

A color with a high population percentage genuinely dominates the image's visual area, which usually means it's a background or a large repeated element, while lower-percentage colors further down the list tend to represent smaller accent details or highlights — useful context when deciding which extracted color should anchor a design versus which should stay a supporting accent.