Extract a palette from multiple images
Import several images (product photos, moodboard, screenshots): the tool extracts the dominant colors from each, merges close hues, and gives you a common palette representative of the whole set.
How it works
For each imported image, the tool extracts its most frequent colors via a color histogram, then groups all the hues obtained across all images: two colors close enough (based on their RGB distance) are merged into a single group, whose occurrence count determines the display order.
Why do some colors of my images not appear in the result?
Only the most dominant colors of each image are extracted (the most frequent), and very similar hues are merged to avoid a redundant palette. A rare or minor color present in all images is therefore unlikely to appear in the final result.
What is this common palette useful for?
It's handy for building a coherent brand style from a set of reference photos (moodboard, product catalog, inspiration gallery), by quickly identifying the hues that come back most often from one image to another.
100% local processing: color extraction and merging run entirely in your browser — your images are never sent to a server.