We analyzed this app across 3 independent signals and corroborated nothing unfair. That is a signal, not an audit.
This analysis describes version 1.47.0 of the app, analyzed 2026-10-04 . The app may have changed since.
The store currently lists version 1.47.0, updated 2026-09-03.
What the analysis found
One source only — shown, not confirmed 3
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.
Trial converts to a charge
Scam trial — Says free trial for one week and they charge you 40 dollars after 48 hrs of initiation of the trail. Not ethical, don’t recommend
Not worth it — You have to agree to a free trial to use it and based on other reviews of people getting charged during the free trial I am not gonna waste my money on an app like this. You clearly have to pay for everything to see any…
Free trial is NOT free — I signed up for the free trial and was immediately charged $23.62. Zero stars.
Paywall blocks the basics
Not worth it — You have to agree to a free trial to use it and based on other reviews of people getting charged during the free trial I am not gonna waste my money on an app like this. You clearly have to pay for everything to see any…
pay for everything — bruh this dumb af you have to pay to be able to use anything
0 stars you have to pay to use everything — These type of apps are pointless fr they just want money cause what do you mean i have to pay to use literally anything except three types of “filters” ? Just edit the photo yourself ..
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 1 more purchase 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.