Extract screens
Sample recording frames, extract PDF pages, or read ordered screenshots.
AI research workspace
Turn messy app recordings into a clickable product-research presentation.
Upload raw product evidence. Product Analyser AI detects unique screens, preserves sequence, separates facts from assumptions, and generates PM, UX, developer, and presentation-ready outputs.
Upload product evidence
Screen recording, ordered screenshots, or PDF of screenshots.
No files uploaded yet.
Automatic analysis
From raw evidence to structured product intelligence
Remove duplicates
Compare visual similarity and preserve only meaningful UI states.
Map the journey
Maintain navigation order, detect branches, and flag missing destinations.
Write research notes
Separate observed facts, hypotheses, UX observations, PM notes, and developer notes.
Generate outputs
Create clickable walkthroughs, presentation mode, JSON, PDF, and developer docs.
SCREEN 01
Welcome screen
AI identifies this as an entry point and checks whether trust is established before user effort.
1 / 6
Entry
Welcome / Landing
The first screen should explain value before asking for effort.
Observed Facts
Assumptions / Hypotheses
PM Notes
UX Observations
Developer Notes
Improvement Opportunity
Reusable research model
Built for any mobile app, not one brand
Observed Facts
Only what is directly visible in screenshots, video frames, or recorded transitions.
Assumptions
Clearly labelled hypotheses about product intent, business logic, or user psychology.
PM Notes
Business objective, conversion mechanism, retention lever, and open product questions.
UX Observations
Hierarchy, cognitive load, trust, emotion, accessibility, and first-time user clarity.
Developer Notes
Entry action, exit action, visible controls, recorded destination, missing destination, and data surfaced.
Opportunities
Actionable product improvements without blindly copying the analyzed app.
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