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Colorrow
Image Color Picker

Image Color Picker and Palette Extractor

Drop in a photo, illustration, or visual reference and turn its strongest color families into an editable HEX palette you can copy, save, or continue in Generator.

Image processing stays in this browser.The picker decodes your selected file through a temporary browser object URL, samples it in a local canvas, and does not upload the image file to Colorrow or an image-processing service.

1 · Choose an image

Drop a file or browse

Use an image whose lighting and mood you actually want to carry into the palette.

Drop your image here

or choose a file from this device

File requirements
  • PNG, JPG/JPEG, or WebP
  • Maximum file size: 20 MB
  • Maximum decoded size: 40 megapixels
  • One image at a time
No image selected PNG, JPG, or WebP · up to 20 MB · up to 40 megapixels
Large image preview

Your selected image stays visible here while you refine its extracted palette.

Your image preview will appear here.

Choose an image or drop it into the upload area.

2 · Refine the result

Extracted palette

Copy any HEX value, edit a color directly, remove one you do not need, or regenerate the original extraction.

Open in Generator

Generator currently accepts five imported colors, so Open in Generator sends the first five colors from this palette.

How extraction works

Sample broadly, group similar pixels, keep distinct color families.

01

Downsample for speed

The browser draws a proportional copy of the image to a small local canvas. This keeps processing fast without relying on a remote image service.

02

Quantize dominant regions

Pixels are grouped into compact RGB buckets, then a weighted median-cut pass separates the image into dominant color clusters instead of taking a few arbitrary samples.

03

Keep useful separation

Candidate colors are compared in a perceptual color space so near-duplicates are deprioritized and smaller but clearly distinct color regions have a better chance to survive.

Reading the palette

Dominant colors are not always the best accents.

Dominant colors

Large surfaces—sky, walls, clothing, backgrounds—usually contribute the most pixels. They often become the first colors in the result and are useful for establishing the overall mood.

Accent colors

A smaller object can be visually important even when it covers little of the image. The extraction keeps perceptually distinct clusters, but you should still edit or remove colors based on the job your design needs them to do.

Practical design use

Turn inspiration into a system, not a screenshot.

Choose an anchor

Keep one or two colors that clearly represent the source image instead of forcing every extracted color into the final system.

Add functional neutrals

Photos rarely provide ideal text, border, and surface colors. Add dependable light and dark neutrals before using the palette in an interface.

Test the pairs

Once the palette has roles, check important foreground/background combinations for contrast rather than assuming a visually pleasing photo is accessible UI.

Privacy behavior

What happens to the image file?

The picker code creates a temporary browser object URL for the selected file, decodes it locally, samples pixels through a canvas, then revokes that object URL when the preview is replaced, reset, or the page exits. It contains no image-upload request, fetch call, or XHR path.

Important scope: this statement applies to the image file processing performed by the picker. The page still includes Colorrow's existing analytics and advertising scripts, which are separate from the extraction code.
Continue the workflow