Free app review theme analyzer
Hear the pattern behind individual reviews.
Paste review text to surface repeated product friction, feature requests, praise, and customer phrases. The analysis is local, rule-based, and explicit about its limits.
Theme canvas
Local analysisTurn scattered comments into a research brief.
Paste reviews to surface repeated product friction, feature requests, pricing concerns, praise, and customer language. The result stays transparent and inspectable.
Themes
Tone
Phrases
From comments to hypotheses
Repeated language is evidence—not the whole market.
Use enough review variety
A handful of recent reviews can expose urgent friction, but it cannot represent every user. Include positive, neutral, and negative feedback across a meaningful time window. Keep store, country, app version, and rating context when you move into deeper research.
Read the evidence snippets
The tool groups themes through visible word rules. Inspect the supporting review lines before adopting a label. A mention of “subscription” can describe value, confusion, or anger; frequency alone does not tell you which one.
Turn themes into tests
A repeated complaint can suggest an onboarding, reliability, pricing, or messaging experiment. A repeated phrase can sharpen listing copy. Neither should become a roadmap priority until it aligns with product strategy and broader evidence.
Protect customer data
Paste only review content you are allowed to analyze. Remove names, emails, order details, health information, and other identifiers. This page does not transmit the text, but privacy-safe input still matters.