Why Pick Colors from Images?
Designers and developers regularly need to extract specific colors from images — matching a brand color in a logo, building a UI palette from a reference photo, identifying exact colors in a screenshot, or matching paint colors to a real-world object. A color picker from an image is the most accurate way to do this: instead of eyeballing a color or trying to remember which shade of blue it was, you get the exact pixel value. Combined with palette extraction, it's also a great way to derive design system colors from photography or artwork.
Color Formats Explained
Three formats are useful in different contexts. Hex (#RRGGBB) is the standard for web design — used in CSS, HTML, and most design tools. RGB (rgb(R, G, B) with values 0-255) is the underlying color model — useful for code, programmatic color manipulation, and some design tools. HSL (Hue, Saturation, Lightness) is the most intuitive for design decisions — you can adjust hue to shift the color family, saturation to make it more or less vibrant, and lightness to make it darker or lighter, all without breaking the visual relationship.
From Photos to Palettes
Dominant color extraction is a powerful way to derive a design palette from a single reference image — a photograph, painting, or texture. The 8-color palette works well for most uses: small enough to be a focused system, large enough to capture variation. The extracted colors are based on actual frequency in the image, so a photo of a sunset will produce warm oranges and purples, while a forest photo will produce greens and browns. This makes it a fast way to build cohesive color schemes that feel natural to the reference.