2,615 icons for React, Figma and SVG, optically tuned at every size
Free tree testing tool for testing information architecture
Stage
Not given
Established
Founded
Not given
2021
Based in
NL
Not given
Pricing model
Freemium
Free
Pricing
Free: 1,263 icons in 27 categories with line, solid and duotone styles. Single: $49 one-time for 2,615 icons with multi-select and bulk export. Team: $129 one-time for 5 seats. Enterprise: $349 one-time for unlimited seats. All paid plans include lifetime updates.
Free for unlimited tree testing and card sorting studies, unlimited participants and responses, and full analysis. Participant recruitment through UXbeam's panel starts at $1 per participant-minute.
Key features
Three styles: line, solid and duotone from one shared shape
Native size fits at 16, 20 and 24px with optical tuning per size
React package with tree-shakeable components
Figma plugin with search, customization and multi-select
SVG export with live controls for size, stroke, corners and color
Bulk export and ZIP download for multiple icons
GitHub repository with all free icons as plain SVG files
Figma library file with components and variants
Unlimited tree-testing studies and participants
Leading-task detection to catch biased wording
Path replay visualization of participant navigation
Task outcome breakdown into direct, indirect, and elsewhere
Full-scenario completion tracking across multiple tasks
Mobile-compatible participant experience
Integrated card sorting with tree testing workflow
Multiple valid destinations per task
Iterative testing with versioned results
Complete CSV export of participant-level results
What makes it different
Optical corrections tuned at each size so small icons stay sharp
One-time purchase with lifetime updates, no subscription
Free set is frozen free and published under MIT license
No credit card required and truly unlimited at no cost
Built-in methodological safeguards prevent common research mistakes
One-screen setup lets researchers create tests in minutes
Mental Model Detection identifies competing ways different user groups organize content
AI-assisted participant recruitment with audience targeting