Free app store screenshot editor for panorama canvas design and export
Free tree testing tool for testing information architecture
Stage
Not given
Established
Founded
Not given
2021
Based in
Not given
Not given
Pricing model
Freemium
Free
Pricing
Free tier: no card needed, everything for one app's phone screenshots with 3 projects and up to 5 slides. Pro: $9 paid once (not a subscription), unlimited projects, up to 10 slides on App Store and 8 on Google Play, tablet sizes and frames, cloud save, share links and agent control.
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
One panorama canvas across every slide
App Store sizes for iPhone and iPad
Google Play sizes for Android phones and tablets
Phone and tablet frames
Captions, backgrounds, images and logos
Cloud save with version history (Pro)
Share links with open and copy counts (Pro)
Agent control over MCP (Pro)
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
One wide panorama canvas lets design elements run across multiple slides
Free tier requires no account or card
Pro is $9 paid once with no subscription
Supports both App Store and Google Play in one tool
Agents can design on the canvas via MCP integration
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