AI tool to separate images into editable layers for PSD, PNG and ZIP 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: 50 welcome credits. Starter: €7.99/month with 1,000 credits (about 125 layers). Creator: €16.99/month with 2,400 credits (about 300 layers). Studio: €44.99/month with 6,400 credits (about 800 layers). Yearly plans available with 2 months free. Credit packs: €3.99 for 400 credits, €7.99 for 900
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
Semantic layer separation into subjects, objects, text, shadows and backgrounds
Background reconstruction behind removed objects
Export as layered PSD, transparent PNG or ZIP
Process in 60 to 120 seconds
Support for JPG, PNG and WebP up to 24 MB
Layer output at original image resolution up to 4 megapixels
Targeted Layer tool to extract single elements
Background Splitter for subject and background separation
Commercial use allowed without watermark on any plan
Failed jobs never charged, automatic credit return
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
Background reconstruction that rebuilds hidden areas, unlike basic background removal that leaves gaps
Works with raster layers at original image resolution
Results stay accessible for 30 days for re-download without extra cost
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