Some warnings 1 confirmed warning. Checked: 82 reviews and the Android app’s code.
From our automated analysis, 31 Oct 2026. Every label links to its evidence in the full report below.
This analysis describes version 3.6.9 of the app (the version number recorded inside the package we inspected), analyzed 2026-10-31 .
The store currently lists version 3.6.9, updated 2026-10-12.
Store screenshots supplied by the developer.
DecorAI is an AI Interior Design app that lets you upload a photo of your room and instantly generate realistic before & after designs.
It is so easy: Upload a photo of your room, choose or enter your style & transform your home within seconds!
Turn your old and ugly rooms into new and modern rooms. Save money and time with the official DecorAI app!
Welcome to the future of interior design and home remodeling – a place where your dream space becomes a reality with just a few taps on your screen. Our AI Interior Design & Remodel App is a groundbreaking tool designed to transform the way you envision, design, and remodel your living spaces. Whether you're a professional designer, a DIY enthusiast, or simply someone looking to give your home a fresh new look, our app is tailored to meet all your needs.
Features:
Remodel Rooms and Houses with Ease:…
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.
Paywall is server-configured and A/B tested via RevenueCat Paywalls — the offer shown can differ per user
The app ships a remote paywall-experimentation SDK, so the offer shown is configured server-side and may differ per user — including from anything we or a reviewer saw.
Package artefact
Appworthy
sha256:c479b2bc2f86140645487abc399627fa760a1c1fe9b7d6169aa284481f8f79b7Specific evidence of a useful property, within the stated scope.
The developer's store data-safety disclosure states that data deletion can be requested; we have not seen a deletion control in the app's own text
The developer's data-safety disclosure on the store states that users can request deletion of their data, or the app's own text offers a way to delete the account. This restates what the developer declares; it is not a test of whether deletion works. Apple publishes no equivalent disclosure, so on an Apple-only listing only the app's own text can support it.
Open observations that have not cleared the evidence bar.
Offers a free trial ("Free Trial") with no renewal price, renewal date or auto-renew notice anywhere in the app's own text
This observation has not cleared the required evidence standard.
The app's own screens offer a free trial without stating, beside it, what happens when the trial ends. Read this as context rather than as a charge: renewal terms are normally shown on the store's purchase sheet instead, which we cannot see, and we can only observe one kind of evidence for this — so it is shown, but never counted as a charge.
Package artefact
sha256:c479b2bc2f86140645487abc399627fa760a1c1fe9b7d6169aa284481f8f79b7The app's own text says: "Continue as %1$s"
This observation has not cleared the required evidence standard.
The app's own screens offer a way past sign-up — guest access, skipping, or browsing before registering — rather than gating the product behind an account. The store's privacy disclosure is checked alongside it: that disclosure is self-reported, so it corroborates this credit rather than establishing it.
Package artefact
sha256:c479b2bc2f86140645487abc399627fa760a1c1fe9b7d6169aa284481f8f79b7The app's own text says: "Thanks for your interest. We will share more once you're back online."
This observation has not cleared the required evidence standard.
The app's own copy describes working without a connection — offline mode, downloading for offline use, or content saved for later. Shown because readers filter on it; it is a feature, not a fairness property, and never counts for or against an app.
Package artefact
sha256:c479b2bc2f86140645487abc399627fa760a1c1fe9b7d6169aa284481f8f79b7No review-based observation is published in this assessment. That does not establish that reviewers had no problems.
“Not assessed” means we could not measure it. It is never a zero and never a pass.
Android package 3.6.9, scanned 30 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 3.6.9 of the app (the version number recorded inside the package we inspected), analyzed 2026-10-31 .
The store currently lists version 3.6.9, updated 2026-10-12.
Each store’s release notes, as the developer wrote them. They are the developer’s words, not ours.
What's new in DecorAI - AI Interior Design Version 3.7.0 • Report content in a tap: every AI result, chat answer and report now has a flag button. Tell us if something looks wrong; you stay in the app the whole time. • Easier feedback: tell us how you like your designs right in the app. Every rating helps us make DecorAI better. • "Rate on App Store" in Settings now takes you straight to the review page. • A cleaner result screen. • iPhone Duo, iPad and landscape: DecorAI now adapts when you unfold your iPhone Duo, use Split View on iPad or turn your iPhone sideways, with photo and options side by side. • Bug fixes and performance improvements. Enjoying DecorAI? We'd love to hear from you!
No release notes were provided for this version.
decoraiAssessed 2026-10-31 from 82 user reviews and the app's package.
What the stores publish. Store ratings are the stores’ numbers, not Appworthy’s, and are never averaged across stores.
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.
This assessment is produced automatically. Four independent signals are read — user reviews, SDKs in the app package, the app's own on-screen text and the app manifest — 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.