We analyzed this app across 3 independent signals and corroborated nothing unfair. That is a signal, not an audit.
This analysis describes version 4.5 of the app, analyzed 2026-10-04 . The app may have changed since.
The store currently lists version 4.5, updated 2026-07-30.
What the analysis found
One source only — shown, not confirmed 2
A single kind of evidence. We publish these because withholding them would be the bigger distortion, and we do not treat any of them as a finding we stand behind.
What reviewers said
Verbatim excerpts from public store reviews, shown as corroborating user reports. They are not Appworthy audit evidence, and a quotation is not proof of the finding it sits under.
Users describe the free version as usable
Best app I’ve tried yet — I’m ngl I spent the money for the year long premium but it’s so worth it I’ve scanned literally every product I own after my face and it gives you a rating on the product based on your skin analysis its amazing…
(no title) — i like the information it gives me when I take a picture of the product, but I’d like to have a free version with unlimited product scans.
Really good — Only wish you didn’t have to pay for things but oh welllll
Paywall blocks the basics
Good app but you have to pay..😭 — I LOVE THE FACT THAT YOU CAN SCAN YOU FACE AND THEY TELL YOU THINGS ABOUT YOUR SKIN AND WHAT PRODUCTS WILL ACTUALLY BE GOOD FOR YOU BUT IF YOU BROKE LIKE ME YOU CANT USE THE APP FOR THAT LONG CAUSE YOULL…
Good but why? — I used to have it without paying. I stopped using it and automatically I had to pay? Everything app cost money these days.
Uggggg — This app is the worst😭 i downloaded it and I have to pay to use the app😭😭😭😭😭😭😭😭😭
What this app sells
From the store listing. Billing terms are read from each purchase’s name — the stores don’t publish them — so treat them as a strong hint, not a disclosure.
Show 3 more purchases we couldn’t categorise
These are really on sale; we just can’t tell from the name whether they recur.
How the automated analysis works
This assessment is produced automatically. Three independent signals are read — user reviews, the store listing and the store privacy disclosure — and each candidate finding is filed under the sources that support it.
No charge stands on one kind of evidence — with one published exception. A finding is either a measured fact that anyone can reproduce (an ad SDK is in the package; every subscription bills weekly; the privacy label omits a tracker we can see), or it is an interpretation — and an interpretation needs independent sources to agree before it reaches the catch list. The exception is a harm only users can see: a charge may publish from reviews alone, as “Reported by N users”, once enough reviewers raise it to clear that charge’s own published bar. That agreement rule is what replaced the human reviewer, not a model’s confidence.
There is no overall score, on purpose. A 0–99 number was published here until 2026-09-15. It was withdrawn because it discriminated too weakly to be the instrument — 44.7% of every pair of apps tied — and because a single number is a verdict where a count is an observation. What publishes instead is a row of measurements, each of which says what was counted and, where we could not look, says that instead.
Findings under One source only are real reports we do not stand behind as findings. They are shown because withholding them entirely would hide a genuine complaint, and labelled because publishing them as charges would be an accusation off a single source.
Several measurements above say “Not assessed” because no artefact we hold can answer them. A human review is what resolves those — and it can remove a favourable band as easily as add one.
Hands-on inspections are not yet open.