Khroma

Khroma is an AI-assisted color discovery tool for designers. It learns from colors a user selects and presents personalized combinations that can be explored in different visual formats, helping narrow a large color space into a practical shortlist.

Core Features

• Preference learning: Build a color model from examples the user likes.
• Palette discovery: Browse personalized color pairs and combinations instead of starting from an empty picker.
• Visual previews: Inspect colors in type, gradient, palette, or image-style views where available.
• Saving and filtering: Keep useful combinations and constrain results by hue, tint, value, or other supported properties.

Best Fit and Limits

Khroma works well for designers who need inspiration for interfaces, identities, illustrations, or presentations. A preferred palette is not automatically accessible or production-ready. Test contrast, semantic states, display conditions, and brand requirements with appropriate design tools.

Pricing and Availability

The web experience and its current access model are described at Khroma. Check the site directly for changes to availability, data storage, or account requirements.

Frequently Asked Questions

Does Khroma generate finished brand guidelines?

No. It helps discover color combinations; a designer still defines roles, contrast rules, tokens, and usage guidance.

Are suggested palettes accessible?

Not automatically. Run contrast checks for the actual foreground, background, size, and state combinations.

Why does it ask for color preferences?

Those choices help personalize later combinations around the user's visual taste.