Upload a photo (JPG, PNG, GIF, WebP) and instantly get the dominant colours as a palette. All processing happens in your browser — your image is never uploaded.
This tool analyses an uploaded image and returns five of its most common colours as a simple palette. It is useful when you already have a visual reference — a photograph, illustration, product image or mood board — and want a quick set of HEX values to start designing with.
The image is processed locally in your browser using a canvas. It is not sent to ColorSchemePro's server. Once the palette appears, click individual colours to copy their HEX values or use Copy All Hex to copy the full set.
Choose or drag in a JPG, PNG, GIF or WebP image from your device.
The browser analyses the image pixels and identifies five dominant colour values.
Copy one HEX value or the entire five-colour result for use in your design software or CSS.
Processing takes place locally in your browser, so the uploaded image does not need to leave your device.
A dominant-colour palette is a starting point, not a guarantee that every colour should have equal importance. Usually one or two colours become the main design colours while the rest are used more sparingly.
These two tools solve different problems. Use this Image Palette Generator when you want the tool to automatically summarise an image into five dominant colours. Use the Colour Picker From Image when you need to click a specific point in an image and identify that exact colour.
After extracting a palette, you can turn one of the colours into a fuller design system with the brand palette generator, create blends in the gradient generator, or test foreground/background combinations with the contrast checker.
It returns five dominant HEX colours from the uploaded image.
No. The analysis runs locally in your browser using the uploaded file, so the image does not need to be sent to the ColorSchemePro server.
The uploader accepts common browser-supported image formats including JPG, PNG, GIF and WebP.
Photographs often contain many nearby shades caused by lighting, texture and anti-aliasing. If the result is too similar, try cropping the image to the area that matters most.