🖼️ AI Photo Try On - Clothes Swap Transform your photos with powerful AI ph…
Hit StudioSome warnings 11 users report an aggressive ad load; 1 thing we found but could not confirm. Nothing confirmed. Checked: 33 reviews, the Android app’s code and the store listing.
From our automated analysis, 22 Oct 2026. Every label links to its evidence in the full report below.
This analysis describes version 1.0.3 of the app (the version number recorded inside the package we inspected), analyzed 2026-10-22 .
The store currently lists version 1.0.3, updated 2026-09-24.
Store screenshots supplied by the developer.
🖼️ AI Photo Try On - Clothes Swap
Transform your photos with powerful AI photo editing tools. AI Photo Try On - Clothes Swap lets you change outfits, swap faces, create AI avatars, generate AI art, enhance photos, and explore new styles in seconds.
✨ Key Features
👗 AI Clothes Changer & Virtual Try On
Instantly change clothes and try on different outfits with realistic AI-generated fashion styles. Explore casual, formal, streetwear, luxury, and trendy looks without changing your wardrobe.
🔄 AI Face Swap
Swap faces with friends, celebrities, movie characters, and avatars using advanced AI face swap technology. Create fun, realistic, and shareable photos instantly.
🎨 AI Art Generator
Turn photos into stunning AI artwork. Create anime, cartoon, painting, sketch, digital art, fantasy portraits, and unique AI-generated images with one tap.
🧑🎨 AI Avatar Maker…
From the developer’s store description.
For developers and the curious
The evidence, sources, measurements and versions behind every label above.
Open observations that have not cleared the evidence bar.
Aggressive ad load: raised by 11 distinct reviewers (about 1 in 3 reviews we read)
This observation has not cleared the required evidence standard.
Advertising volume or placement that interrupts normal use: ads between every action, unskippable or forced full-screen ads.
Sells a subscription in-app but ships no cancel or manage-subscription text of its own, leaving the store's settings as the only exit
This observation has not cleared the required evidence standard.
Cancelling the subscription is blocked, hidden, multi-step, or simply does not take effect.
Package artefact
Appworthy
sha256:26c372a9d766352b26f801e15cccad2576d0dfda0392f01dc29ca75ca3459198Nothing was published as a thing to watch for in this assessment. That is not a finding that nothing is wrong with the app.
33 reviews read for this analysis. Each observation keeps the sample and store it was based on.
too many ads!!
nothing but adds completely worthless
⛔️⛔️⛔️TO MANY ADS !!!⛔️⛔️⛔️TO MANY ADS!!⛔️⛔️⛔️
A sampled review illustrates one person’s experience. It does not establish a finding on its own.
“Not assessed” means we could not measure it. It is never a zero and never a pass.
Android package 1.0.3, scanned 22 Oct 2026. These describe that package, not the current store version.
Supporting measurements: not a complete list of possible harms or positives. Measurement vocabulary 1.4 · how these are measured
This analysis describes version 1.0.3 of the app (the version number recorded inside the package we inspected), analyzed 2026-10-22 .
The store currently lists version 1.0.3, updated 2026-09-24.
Each store’s release notes, as the developer wrote them. They are the developer’s words, not ours.
No release notes were provided for this version.
ai-photo-try-onAssessed 2026-10-22 from 33 user reviews, the app's package and the store listing.
What the stores publish. Store ratings are the stores’ numbers, not Appworthy’s, and are never averaged across stores.
No itemized purchase list is available for this listing.
This assessment is produced automatically. Five independent signals are read — user reviews, SDKs in the app package, the app's own on-screen text, the app manifest and the store listing — 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.
Write to [email protected], or use the form. Name the finding, the app version and the evidence that needs correcting. Factual corrections are free and never depend on buying anything.