Some warnings 1 confirmed warning, and users report 1 more thing. Checked: 1,859 reviews, the store listing and the privacy label.
From our automated analysis, 31 Oct 2026. Every label links to its evidence in the full report below.
This analysis describes version 1.8.8 of the app, analyzed 2026-10-31 .
The store currently lists version 1.8.8, updated 2026-10-23.
Store screenshots supplied by the developer.
Creativity has no limits with Nano AI.
Experience a powerful AI art generator and dynamic AI video generator designed to turn your everyday photos into stunning artwork, animated visuals, and viral-ready content in seconds.
From aesthetic portraits and wallpapers to trending dance transformations, Nano AI makes advanced AI creation simple for everyone.
🚀 AI Creation Tools
Everything you need in one smart studio:
- AI Art Generator: Transform photos into artistic portraits, stylized edits, and wallpaper-quality visuals.
- AI Video Generator: Create engaging short AI videos with smooth motion and eye-catching effects.
- AI Photo Generator: Produce scroll-stopping visuals ready for social media.
- Smart Enhancement Tools: Sharpen blurry images, repair old or damaged photos, and instantly remove or replace backgrounds with solid colors, custom scenes, or AI-generated environments.…
From the developer’s store description.
For developers and the curious
The evidence, sources, measurements and versions behind every label above.
Findings that met the published evidence standard.
Aggressive ad load: raised by 200 distinct reviewers (about 1 in 9 reviews we read)
Advertising volume or placement that interrupts normal use: ads between every action, unskippable or forced full-screen ads.
Open observations that have not cleared the evidence bar.
Misleading advertising: raised by 6 distinct reviewers (about 1 in 310 reviews we read)
This observation has not cleared the required evidence standard.
Reviewers repeatedly report that the app is not what its advertising showed. We never see the ad creative itself, so nothing we collect can corroborate or refute this — it is published as an attributed user report: what reviewers say, and how many of them said it.
1,859 reviews read for this analysis. Each observation keeps the sample and store it was based on.
Raised by 200 distinct reviewers — about 1 in 9 reviews we read on this store leg (Google Play).
worst app showing to many ads and not making real face images , for responding taking to much time multiple add showing lost of irritating is this
Every single tap brings up an ad I'm not even joking if you tap 10 buttons you get 10 ads some of the ads even last up to 2 mins Disgusting
too much ads so i want to uninstall
No sampled quote is attached to this observation.
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.
No package has been scanned for this app, so nothing is published about what it ships. That is an absence of evidence, not a finding.
Supporting measurements: not a complete list of possible harms or positives. Measurement vocabulary 1.4 · how these are measured
This analysis describes version 1.8.8 of the app, analyzed 2026-10-31 .
The store currently lists version 1.8.8, updated 2026-10-23.
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.
Appworthy
nano-ai-google-com-nano-art-ai-generatorAssessed 2026-10-31 from 1,859 user reviews, the store listing and its privacy label. We have not scanned the app's package, so nothing on this page was read from inside the app itself.
What the stores publish. Store ratings are the stores’ numbers, not Appworthy’s, and are never averaged across stores.
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 recurring plan the store lists is named as weekly, the term read from the purchase names, with a list cut off at the store’s 10-item maximum not assessed; 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.