Is OnSkin - Produkt-Scanner Legit & Safe?
With 4.6 stars across 997 ratings, OnSkin - Produkt-Scanner is an established app on the App Store. The 1-3 star reviews below show the specific issues some users hit, not red flags about the app itself.
Based on public App Store data and user reviews. Not affiliated with AIBY.
What users complain about in OnSkin - Produkt-Scanner
Users frequently complain about the app requiring payment to access its features, even during the free trial. Many report technical issues, such as errors during product scanning or inability to load content. Some find the app's recommendations unreliable or not tailored to their specific skin needs.
Summarized from 12 recent 1-3 star reviews.
OnSkin - Produkt-Scanner: frequently asked questions
Is OnSkin - Produkt-Scanner legit?
OnSkin - Produkt-Scanner is a legitimate app listed on the App Store with a 4.6 star rating from 997 ratings. "Legit" and "good for you" are different questions: the 1-3 star reviews below show where real users run into trouble.
Is OnSkin - Produkt-Scanner safe to download?
OnSkin - Produkt-Scanner is distributed through the official App Store, 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 OnSkin - Produkt-Scanner a scam?
OnSkin - Produkt-Scanner 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 OnSkin - Produkt-Scanner 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 OnSkin - Produkt-Scanner?
For most users, OnSkin - Produkt-Scanner is a safe choice given its 4.6 star rating. Skim the negative reviews below to check the edge cases (regional limits, payment methods) that the high average hides.