Color Palette Design
This guide covers what really matters in color Palette Design: concepts, context, limits and interpretations that often cause confusion.
The central topic is color Palette Design, the value is in understanding the correct interpretation, not only repeating a result.
Applying the same quality or format setting to every image type, ignoring that photographs, illustrations and screenshots behave very differently. The fix usually starts by test the result visually, compare final sizes and consider the destination use (web, print, sharing) before deciding..
The tool uses the median-cut algorithm: it repeatedly splits the image's color space along the axes of greatest variation and then, inside each group, returns the most frequent tone (the mode) rather than the average. Averaging would produce washed-out greys that do not exist in the image. Each color comes with the share of the image it covers.
The main point is understanding color Palette Design in the right context instead of treating one isolated value as a complete answer.
The most common limitation is expecting high compression to preserve quality, every algorithm has a breaking point where artifacts become visible.
Cross-check color Palette Design with source, conventions, freshness and practical goals before taking action.
Color analysis happens entirely in your browser. No image is sent to any server.