Analyze Google Play reviews for bug reports in minutes
Paste or upload your Google Play reviews → instantly uncover recurring bugs, crashes, and technical issues hurting your app ratings
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"Every time I try to log in with Google, the app just crashes. Happens every single time on my Pixel 7. Uninstalled and reinstalled twice."
"App freezes on the payment screen right after I enter my card details. Lost my order twice now and had to start over. Super frustrating."
"Notifications are completely broken after the last update. I missed two order confirmations because nothing came through even with permissions on."
"Text becomes invisible when using dark mode — white text on a white background. Been broken for weeks. Really basic thing to miss."
What teams usually miss
Teams often filter by 1-star reviews alone, missing critical bug reports from 2- and 3-star users who still want to love the app.
Without AI analysis, it's nearly impossible to spot that a crash only affects Samsung Galaxy users on Android 13 when reading reviews one by one.
A sudden surge of bug reports following a release often gets lost in the noise before engineers are alerted, costing days of user trust.
Decisions you can make from this
Prioritize which bugs to fix first based on the frequency and severity of mentions across hundreds of real user reviews.
Identify whether a bug is tied to a specific app version or update so your engineering team can pinpoint the exact release that introduced it.
Determine which device models or Android versions are most impacted to focus QA testing where it matters most.
Decide when a bug is severe enough to warrant an emergency patch release versus a scheduled fix based on review volume and rating impact.