Extract color palette from an image
Drop an image and get its dominant color palette as swatches with HEX and RGB you can copy. Free, no sign-up, 100% in your browser.
Drop an image and get its dominant color palette as swatches with HEX and RGB you can copy. Free, no sign-up, 100% in your browser.
Extracting the color palette from an image lets you pull the colors out of a photo and reuse them in a design, a brand, or a website: you identify the dominant tones of a photograph, an illustration, or a logo and copy them straight as HEX or RGB code. It is exactly what you need when building a palette from a reference image, matching a landing page to a photo, or documenting a brand’s visual identity. Most sites that get colors from an image upload your file to a server; fetchio.io works the other way around: it analyzes the pixels inside your browser with the Canvas API, so the image never leaves your device. You pick how many colors you want (4, 6, 8 or 12), see the swatches sorted by weight, and copy any HEX with one click, with no watermarks and no daily limits.
Drag it or click to choose it. Nothing is uploaded.
Choose 4, 6, 8 or 12 colors; the palette is computed instantly in your browser.
Click a swatch to copy its HEX, or copy the whole list at once.
For design and branding: you pull the dominant colors from a photo, illustration or logo and reuse them in a website, a deck or a visual identity, without eyeballing the tones.
They are two ways of writing the same color. HEX (#rrggbb) is the most common in web and CSS; RGB lists the red, green and blue values (0–255). The tool gives you both for every color.
It depends: 4 or 6 for a clean, manageable palette, 8 or 12 if the image is rich in tones and you want to capture more nuance. You can switch and see the result instantly.
No. The color analysis runs in your browser with the Canvas API; the image never leaves your device.
They are the representative dominant colors of the image: similar tones are grouped and sorted by how much they appear, so they reflect the whole well. For speed the image is downscaled internally, which barely affects the main tones.