Free, open-source plugin for Lightroom Classic that exports masks as PNG, TIFF or JPEG files
Free tree testing tool for testing information architecture
Stage
Not given
Established
Founded
Not given
2021
Based in
FR
Not given
Pricing model
Open source
Free
Pricing
Pay what you want, from €0
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
Export masks as PNG, TIFF or JPEG
Batch process multiple images and sequences
Local AI-powered object detection with RF-DETR
Standard and HD Fine Detail quality modes
Generate transparent PNG cutouts
Offline processing without internet or account
Matching filenames for images and masks
macOS and Windows support
MIT open-source license with source code on GitHub
Apple-signed and notarized builds
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
Exports masks as image files for use in 3D workflows, compositing and other tools outside Lightroom
Processes images locally on your computer with no internet or account required
Supports batch workflows for multi-view sequences used in photogrammetry and Gaussian splatting
Open source under MIT license with readable and modifiable code
Pay-what-you-want pricing with no license key required
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