Color Palette Generator

Color Palette Extractor — Find the Colors in Any Image

Every image has a colour story — a set of dominant tones that define its mood and visual identity. A sunset photograph might be built from warm oranges, deep reds, and a strip of pale yellow. A forest scene might lean on muted greens, grey-browns, and soft blue sky tones. Knowing what those colours are — precisely, as hex codes or RGB values — is useful in design, photography, branding, and visual development work.

This tool extracts the dominant colours from any image you upload and presents them as a palette you can copy and use. It clusters similar pixels to identify the main colour families in the image rather than listing every single unique colour — so what you get is a practical, usable palette of four to eight tones, not an overwhelming list of thousands of shades.

How to Use It

Upload any image — a photograph, a screenshot, a logo, a painting — and the tool analyses the pixel data and clusters them into dominant colours. The palette appears as swatches with the hex code and RGB values for each colour. Click a colour code to copy it directly. If you're working in CSS, Figma, Illustrator, or any other design tool, you can paste the hex value directly.

Common Use Cases

Brand colour matching: If you have a logo or brand visual but don't have the original colour specifications, upload the image and extract the exact hex codes. This is especially useful when someone sends you a logo as an image file with no accompanying style guide.

Web and app design: Designers often work from a visual reference — a mood image, a competitor's website screenshot, a brand photograph — and need to build a colour scheme that matches or complements it. Extracting the palette from the reference image gives you concrete starting values instead of guessing.

Recreating colour schemes: If you see a design, an Instagram post, or a piece of artwork whose colours you want to replicate, upload the image and get the palette immediately. This is much faster than manually sampling colours and writing down values.

Photography and editing: Identifying the dominant tones in a photograph before editing helps you understand what colour grading decisions will be most effective. Knowing the image is built from warm amber tones and deep shadows tells you which direction to push in Lightroom or Photoshop.

Interior design and colour selection: Upload a reference photo of a room, a fabric swatch, or a paint chip and extract the exact colours to match against paint codes, upholstery, or décor items. Useful when shopping for items that need to coordinate with an existing colour scheme.

Illustration and character design: Artists working digitally can use palette extraction to build a consistent colour set from a reference image — a character reference, a scene photograph, or a colour mood board — and apply those exact colours in their own work.

Tips for Better Results

The quality of the extracted palette depends on the image content. Images with many similar tones (like a portrait on a neutral background) will produce a tight, useful palette with a few clear dominant colours. Highly complex images with dozens of different colour regions (like a crowded marketplace or a detailed painting) will produce a more averaged palette that represents the overall feel rather than every specific element.

If you want to extract the colour of a specific element in an image — the exact blue of a shirt, the specific green of a leaf — crop the image to show only that element before uploading. The tool will give you a palette focused on that region rather than the whole image.

Privacy and Limitations

Image analysis happens in your browser — the image is not sent to any server. Extracted colours are the dominant tones in the image, not every colour. Very subtle gradient variations will be grouped together into the nearest dominant tone. If you need to identify a very specific colour from a precise pixel location, use the Colour Picker tool on this site, which lets you click anywhere on an image and get the exact hex value for that specific point.