ℹ️ Color extraction happens entirely in your browser. Your image is never uploaded.
Drop your image here
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Choose ImageJPG, PNG, WebP · Max 25MB
Upload any image to extract its dominant colors as a ready-to-use palette — with hex, RGB and HSL codes for design work.
or click to browse your files
Choose ImageJPG, PNG, WebP · Max 25MB
This tool analyses an image and extracts its dominant colours, presenting them as a palette with hex, RGB and HSL values ready to use in design work. Instead of manually picking colours from a photo with a colour picker, this tool identifies the most prominent colours automatically and gives you the exact codes needed to recreate them.
Colour extraction happens entirely in your browser — your image is never uploaded to a server.
Hex codes (like #1a56db) are the most common format for web design, used directly in CSS and most design tools. RGB (Red, Green, Blue) expresses a colour as three numbers from 0-255, useful when working with code that manipulates colour values numerically. HSL (Hue, Saturation, Lightness) describes a colour in terms more intuitive for adjustments — for example, increasing "lightness" while keeping hue and saturation the same produces a lighter version of the same colour, which is useful for creating colour variations.
Extracting a palette from an existing photo — a product photo, an interior shot, a piece of artwork — is a common starting point when a colour scheme needs to feel cohesive with that image, such as a product page where the surrounding design should complement the product photo rather than clash with it. The dominant colours extracted from such an image often work well as background colours or large design elements (since they're literally the colours that appear most in the image), while less dominant but still-present colours can work well as accent colours for buttons, links, or highlights — providing contrast against the dominant tones without feeling unrelated to the image's overall palette.
An extracted palette is a useful starting point, but most design work needs more than just a handful of flat colours — it needs variations (lighter and darker versions for hover states, borders, backgrounds) and a way to ensure text remains readable against different background colours. Using the HSL representation of an extracted colour, you can create lighter or darker variants by adjusting only the lightness value while keeping hue and saturation constant — this tends to produce variations that still feel like "the same colour, just lighter/darker" rather than a different colour entirely, which is what often happens if lighter/darker versions are created by adjusting RGB values directly.
If you plan to use an extracted colour as a background with text on top, or vice versa, it's worth checking that there's enough contrast between the two for the text to remain readable — this matters both for general usability and for accessibility, since insufficient contrast can make text difficult to read for many users, not just those with visual impairments. A colour that looks like it provides "enough" contrast on one screen can look different on another due to display calibration differences, so when in doubt, erring toward higher contrast (darker text on light backgrounds, or vice versa) is generally the safer choice, especially for body text that needs to be read comfortably for longer periods.
Once you have a palette, the hex codes can be pasted directly into CSS, design software like Figma or Photoshop, or presentation tools. If you're designing a website or app and want to test how these colours look together in an interface, pairing the extracted palette with consistent typography and spacing typically produces a more cohesive result than using the colours in isolation.
The tool identifies the most prominent colours in the image, typically presenting a handful of swatches representing the dominant tones.
Yes, each colour swatch includes hex, RGB and HSL codes that can be copied for use in design software, CSS or other applications.
The extracted colours represent the dominant tones in the image as closely as the analysis can determine, though display differences between screens mean colours may appear slightly differently on different devices.
JPG, PNG and WebP images can all be uploaded for colour extraction.
No, colour extraction happens entirely within your browser.