Turning AI-generated images into usable color palettes

AI-generated images have become a common source of inspiration for designers and developers.

However, turning those images into practical color palettes is still surprisingly manual. Gradients, lighting effects, and over-saturated areas often make simple color picking unreliable.

The problem

When working with AI images, I kept running into a few issues:

• Too many similar colors extracted from gradients


• Important accent colors getting lost


• Palettes that look good but aren’t usable in UI or branding

What helped

I started focusing on a few principles:

• Group similar colors instead of sampling everything


• Prefer contrast over raw frequency


• Order colors based on practical usage, not randomness

A small experiment

To speed up my own workflow, I built a small browser-based tool that extracts cleaner color palettes from images. It runs entirely in the browser and doesn’t require any login.

I’ve been using it mainly for AI-generated images, but it works with any image.

You can try it here if you’re curious:

https://colorpicker.pinart.ai

Open questions

I’m still not sure what designers prefer in practice:

• Fewer, more “hero” colors?


• Or more detailed palettes with subtle variations?

Would love to hear how others approach this.