Use a clear image with representative colors for a more useful palette.
Extract a color palette from an image
Choose a JPG, PNG, or WebP image and extract its dominant colors.
How palette extraction works
Similar pixels are grouped and ranked by frequency to create a practical dominant palette.
How palette extraction works
Which colors are included in an extracted palette?
The palette emphasizes dominant visible colors rather than listing every pixel value. Similar pixels are grouped and representative colors are ranked by frequency, which makes the output practical for themes, references, illustrations, and design exploration. Large backgrounds usually outrank small accents even when the accent attracts more human attention. The result is a summary of the image, not a complete color inventory or a finished design system. Use the preview and source image together when choosing which swatches to keep.
How does transparency affect palette extraction?
Fully transparent pixels are ignored because they do not contribute a visible source color. Semi-transparent pixels can still influence the representative result according to their stored color and visibility. A logo designed for a dark background can therefore produce swatches that look different when previewed on white. If the final palette will be used on a particular background, composite or preview the image in that context first, then check contrast and edge colors before assigning palette roles.
Why can the palette differ from colors I notice first?
The extractor ranks colors by how much of the image they occupy after similar shades are grouped. Human attention is also influenced by contrast, saturation, subject importance, faces, and context, so a small bright accent may feel more prominent than a large muted wall while still ranking lower by pixel frequency. Gradients, shadows, lighting, compression noise, anti-aliasing, and many near-identical shades can shift the representatives. Treat the output as a measured starting point and adjust it for the design goal.
How can I turn an image palette into a usable design palette?
Start by assigning roles rather than using every extracted swatch equally. Choose a background, primary text color, surface color, main accent, and optional secondary accent. Remove near-duplicates and adjust lightness or saturation when the image does not provide enough separation. Test text and essential graphics with a contrast checker, check the palette in grayscale, and preview real components rather than isolated color chips. An attractive photograph can contain colors that work together pictorially but fail when used for small text or controls.
Which source image gives the most useful palette?
Choose an image representative of the mood, lighting, and subject you want the palette to express. Crop away irrelevant borders, screenshots, watermarks, or large backgrounds when they should not dominate. Prefer a source without severe color cast, heavy filters, compression artifacts, or mixed lighting unless those effects are intentional. Different edits of the same photo can produce different palettes. For a consistent project, extract from a controlled reference image, document chosen HEX values, then test them across screens and print samples.