Is Innenthermometer Legit & Safe?
With 4.5 stars across 25,423 ratings, Innenthermometer is an established app on the Google Play. The 1-3 star reviews below show the specific issues some users hit, not red flags about the app itself.
Based on public Google Play data and user reviews. Not affiliated with Sweetvrn.
What users complain about in Innenthermometer
Users frequently report that the app provides inaccurate temperature readings, often significantly higher than the actual room temperature. Many complain about intrusive ads, unnecessary location permissions, and technical issues like unresponsive buttons or incorrect screen sizing. Some suspect the app may be a joke or even malicious software due to its unreliable functionality.
Summarized from 129 recent 1-3 star reviews.
Innenthermometer: frequently asked questions
Is Innenthermometer legit?
Innenthermometer is a legitimate app listed on the Google Play with a 4.5 star rating from 25,423 ratings. "Legit" and "good for you" are different questions: the 1-3 star reviews below show where real users run into trouble.
Is Innenthermometer safe to download?
Innenthermometer is distributed through the official Google Play, which screens apps before listing. The main safety questions for most users are around subscriptions, data permissions, and billing. The negative reviews below surface those concerns when users report them.
Is Innenthermometer a scam?
Innenthermometer is a real, store-listed app rather than a scam link. As with any app, scan the negative reviews below for billing or subscription complaints so there are no surprises after install.
Why does Innenthermometer have negative reviews?
Even well-rated apps collect 1-3 star reviews when users hit specific friction: crashes, paywalls, account issues, or missing features. The reviews below group these complaints so you can judge whether they affect your use case.
Should I download Innenthermometer?
For most users, Innenthermometer is a safe choice given its 4.5 star rating. Skim the negative reviews below to check the edge cases (regional limits, payment methods) that the high average hides.