Comparison
HueGrade vs Khroma
An AI color generator that learns from fifty colors you pick and then generates combinations in your personal taste.
What Khroma is good at
The training step is a genuinely clever idea: instead of a generic random palette, you get combinations biased toward colors you already said you liked. The typography and gradient views are a nice way to see a pair in context.
Side by side
| Khroma | HueGrade | |
|---|---|---|
| How colors are chosen | A model trained on the fifty colors you personally selected. | Deterministic color math — harmony rules, perceptual lightness, contrast thresholds. No AI anywhere in the product, by design. |
| Reproducibility | Results are personal to your trained profile. | The same input always gives the same output, and a palette is fully described by its URL, so a teammate opening your link sees exactly what you saw. |
| Output | Color pairs shown as type, gradients and palettes. | Palettes with assigned roles, contrast ratios, light and dark theme predictions, and export to CSS, Tailwind, SCSS, JSON and DTCG. |
Use Khroma when
You want personalised inspiration and you enjoy the training step. Nothing here reproduces that.
Use HueGrade when
You need to be able to explain the choice. Every number on HueGrade comes from published color math — the WCAG contrast formula, OKLCH conversions — so a palette decision can be defended in a design review rather than attributed to a model.
Try the equivalent here
Common questions
- Does HueGrade use AI to generate palettes?
- No. Every result is deterministic color math — harmony rules, OKLCH conversions and the WCAG contrast formula — so the same input always produces the same output and every score can be traced to the arithmetic that produced it.
- Is an AI color generator better?
- For inspiration, a trained model can surface combinations you would not have tried. For shipping, the deciding question is usually whether the palette is readable and consistent, and that is arithmetic rather than taste.