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Khroma

Free Category: Design

Free AI color tool learning your taste to generate perfect palettes for any project.

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πŸ’° Pricing

Free

Completely free

See latest pricing on Khroma β†’
Prabhu Kumar Dasari
Prabhu Kumar Dasari
Senior Unity XR Developer & Founder, AllInOneAICenter

As a Senior XR Developer and founder of AllInOneAICenter with 13+ years shipping AR/VR products across enterprise, consumer, and event contexts, I review every AI tool through a single lens: does it save real time on real work?

Design decisions in XR β€” from UI overlays in AR apps to VR onboarding flows β€” demand tools that communicate intent quickly to stakeholders. Khroma accelerates that with free to use, making it ideal for brand colors without needing a full design team. The trade-off: only color palettes means it works better for rapid iteration than as a final production tool.

⚑ Key Features & Use Cases

βœ“ Brand colorsβœ“ Design projectsβœ“ Color explorationβœ“ UI color schemes#color palette#free#branding#personalized#AI taste
βœ“ Pros
  • + Free to use
  • + Learns preferences
  • + Beautiful palettes
βœ— Cons / Watch Outs
  • - Only color palettes
  • - Initial training required
  • - Limited features

πŸš€ Getting Started

  1. Create your Khroma account
    Visit khroma.co and sign up. Khroma is completely free β€” no credit card needed.
  2. Start with Brand colors
    This is where Khroma shines most. Brand colors is one of its primary strengths β€” use the tool's main interface or API to tackle this first. Keep your inputs specific and detailed for best results.
  3. Explore Design projects
    Once comfortable, try Design projects. Khroma's advantage in free to use becomes especially evident here β€” you'll notice the quality difference compared to generic alternatives.
  4. Level up with Color exploration
    For power users: Color exploration is where Khroma separates itself from the competition in the Design space. Invest time learning the advanced settings or API parameters to unlock the full value.

πŸ’‘ Real-World Examples

Example 1
Scenario: A brand designer wants a personalised colour palette tool trained on their own aesthetic preferences β€” not generic suggestions.
Prompt / Action:
During Khroma's onboarding, select 50 colours that match your personal design aesthetic β€” Khroma trains a neural network on your specific taste and generates infinite personalised palettes.
Result: After 5 minutes of selection, Khroma generates palettes that actually match the designer's style β€” unlike generic palette tools, it learns what you like and never suggests clashing combinations again.
Example 2
Scenario: A UI designer building a new fintech app needs a colour palette that feels trustworthy and modern β€” without defaulting to generic blue.
Prompt / Action:
During Khroma onboarding, select 50 colours weighted towards deep teals, warm golds, and off-whites β€” avoiding primary blue. Let Khroma train on those preferences.
Result: Khroma generates a palette of deep teal, warm gold, and off-white that feels distinctly fintech-trustworthy without copying the generic blue playbook β€” the app's design director approves it in the first review.
Example 3
Scenario: An art director onboards the entire design team of 8 to Khroma β€” each training their own model β€” and then compares generated palettes to identify the team's shared and divergent aesthetic tendencies.
Prompt / Action:
Each designer trains their own Khroma model independently, then generates 20 palettes each β€” the team does a palette review session comparing outputs to discuss aesthetic alignment.
Result: The session reveals that 6 of 8 designers share a preference for muted earthy tones β€” the art director uses this as the foundation for the new brand system, grounded in the team's actual collective taste rather than a single individual's preference.
Example 4
Scenario: A developer uses Khroma's output to seed a design token system β€” generating all semantic colour tokens for a new design system from Khroma palette data.
Prompt / Action:
Export Khroma's top 10 palettes as hex values β€” feed into a script that maps them to design token semantic roles: primary, secondary, surface, on-surface, error, success, warning.
Result: The design token system is seeded with a coherent, taste-validated colour foundation in 2 hours β€” the team avoids the 2-week colour debate that typically delays design system launches and ships tokens to the component library immediately.

❓ Frequently Asked Questions

Is Khroma free to use?
Completely free
What is Khroma best used for?
Khroma excels at brand colors and design projects. Its standout strengths β€” Free to use and Learns preferences β€” make it particularly well-suited for users who need reliable results in the Design space.
What are the main limitations of Khroma?
The key limitations to be aware of are: Only color palettes and Initial training required. These are worth factoring into your decision, especially if your workflow requires features beyond what Khroma currently offers.
How does Khroma compare to Figma AI?
Khroma and Figma AI both compete in the Design category. Khroma's edge is Free to use, while Figma AI typically offers a different feature balance. Your best choice depends on your specific workflow β€” we recommend trying both free tiers if available.

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