A photograph you love is also a ready-made color scheme — you just need to pull the colors out of it. Designers do this constantly: lift a palette from a product shot, a sunset or a brand photo, then reuse those exact colors in a layout. This guide shows how to extract a palette and turn it into codes you can actually use.
TL;DR — Drop an image into the color palette extractor; it pulls the dominant colors as hex and RGB codes you can copy. Runs in your browser — nothing is uploaded.
Why extract colors from an image
- Build a brand palette from a logo or hero photo.
- Match a design to a photo so type, buttons and backgrounds feel cohesive.
- Find accent colors that already exist in your imagery.
- Recreate a mood — lift the palette of an image whose feel you want.
Hex and RGB, briefly
A color on the web is usually written two ways:
| Format | Example | Where you’ll use it |
|---|---|---|
| Hex | #1B2640 | CSS, design tools, most of the web |
| RGB | rgb(27, 38, 64) | CSS, code, when you need the raw channels |
They describe the same color — pick whichever your tool or codebase expects. A good extractor gives you both with one click.
Step by step: extract a color palette
- Open the color palette extractor and drop in any photo or graphic.
- Let it pull the dominant colors into a clean palette.
- Click a swatch to copy its hex (or RGB) code.
- Drop the codes straight into your CSS, Figma file or brand doc.
Tip: Photos with a clear subject and good lighting give the cleanest palettes. A busy, low-contrast image returns muddier colors — crop to the part you care about first.
Turning a palette into a usable scheme
A raw extraction gives you the colors in the image; a good scheme organises them:
- Pick one or two dominant colors as your base.
- Choose one accent for buttons, links and highlights.
- Add a neutral (a near-black or off-white) for text and backgrounds.
- Check the contrast between text and background colors so it stays readable.
Three to six colors is plenty. More than that and a design starts to feel scattered.
Where to go next
- Remove the background from an image — isolate a product before lifting its colors.
- Convert images to WebP — optimise the imagery you build around the palette.
- Crop an image — focus the extraction on the colors that matter.