Image Color Picker

The tool uses your browser's Canvas API to read pixel data from the image. For dominant color extraction, it samples pixels across the image, quantizes them into color buckets, and returns the most frequent colors. All processing happens in your browser — images are never uploaded to any server.

Browsers apply color profiles and gamma correction when rendering images on canvas. JPEG compression also introduces slight color variations. For precise color matching in professional work, use a dedicated color profiling tool or eyedropper in Photoshop/Figma which reads raw uncompressed values.

Color quantization reduces the number of distinct colors in an image to find dominant ones. Algorithms like median cut, k-means, or octree partitioning group similar colors into buckets and return the centroid of each bucket. The result is an approximation of the most representative colors in the image.

Yes — upload a logo, product photo, or screenshot to identify brand colors. This is useful when you have a brand asset but no style guide. Note that lossy JPEG compression can shift colors slightly; PNG logos will give more accurate results.