Visual height comparison tool for people, animals, objects, and characters
Charts that look designed, because they were
Stage
Not given
Startup
Founded
Not given
2026
Based in
Not given
Not given
Pricing model
Freemium
Freemium
Pricing
Free plan available with limited features. HowHeight Pro plans: Monthly $4.99, Quarterly $9.99 per 3 months (with permanent unlock of more object placements), Yearly $29.99 per year (with permanent unlock and lifetime compression after 7-day trial ends and annual payment succeeds).
Free: 100 React charts in Hearth collection, MIT licensed. Figma: $149 once. Code: $249 once. Complete: $349 once. All prices include every update.
Key features
Visual height comparison on a shared baseline scale
Support for centimeters and feet plus inches measurements
Compare people, celebrities, animals, objects, and fantasy characters
Save comparison boards with Pro subscription
Export comparisons as PNG images
Create shareable links for comparison boards
1,000+ built-in asset references
Custom names and editable entries
Ad-free workspace with Pro subscription
Unlimited objects on boards with Pro subscription
100+ chart types organized by question
Four responsive sizes (XS, S, M, L) that re-layout from data
Identical names and props in Figma and React
Light and dark color modes
900+ size and legend variants
MCP server for AI code agents
Sector-specific datasets included
Ready-made dashboard blocks and compositions
Private registry and GitHub repository access
What makes it different
Over 1,000 built-in asset references with celebrity presets for instant comparisons
Single shared baseline makes height differences proportional and easy to understand at a glance
Simple three-step workflow with no signup required for basic use
Export and share results as PNG images or shareable links
Same chart name and properties in both Figma design files and React code
Charts re-layout responsively instead of scaling, keeping text readable at all sizes
Pay once with all future updates included, no subscription
Integrated with shadcn and available via MCP for AI agents