Investigation finds dozens of AI “nudify” apps operating across the App Store and Google Play

A new investigation by the Tech Transparency Project (TTP) has found that dozens of AI-powered apps capable of creating nonconsensual, sexualized images remain widely accessible on both the Apple App Store and Google Play Store, despite platform policies that explicitly prohibit such content.

According to the report, TTP identified 55 apps on Google Play and 47 apps on Apple’s App Store that can digitally remove clothing from images of women or place them in sexually suggestive scenarios. A total of 38 of these apps were available on both platforms at the time of testing. The findings come amid heightened scrutiny of generative AI tools following recent controversies involving the creation of sexualized images without consent.

Using data from app analytics firm AppMagic, TTP estimates that the identified apps have collectively been downloaded more than 705 million times worldwide and have generated approximately $117 million in revenue. Because Apple and Google collect up to a 30% commission on in-app purchases and subscriptions, the report notes that both companies directly benefit financially from these applications.

The apps surfaced easily through basic search queries such as “nudify” and “undress,” with some even appearing as paid advertisements within the App Store. Several apps were rated as suitable for children, including at least one iOS app listed for users aged nine and older.

TTP grouped the apps into two primary categories. The first includes AI image and video generators that accept text prompts to alter uploaded photos, often producing nude or partially nude imagery. The second category consists of face-swap apps that superimpose a person’s face onto another body, enabling the creation of realistic nonconsensual images.

During testing, TTP used AI-generated images of fictional women and relied only on free features. In many cases, apps produced explicit results within seconds and showed little to no resistance to sexual prompts. Some apps displayed built-in templates with labels such as “tear clothes,” “rip dress,” or “hot dance,” indicating the intended use cases.

Both Apple and Google maintain policies banning sexual nudity, pornography, and content that degrades or objectifies individuals. Google Play guidelines explicitly prohibit apps that claim to undress people or see through clothing, while Apple bars content that is sexually explicit or considered disturbing.

Despite these rules, the report found that dozens of apps passed review processes and remained available for download. Several developers also offered weekly and annual subscriptions, sometimes at high price points, unlocking additional features designed to generate more explicit content.

Following TTP’s disclosure, both companies removed a number of apps. Apple confirmed it had taken down at least 25–28 apps identified in the report and warned other developers of potential violations. Google stated it had suspended or removed at least 31 apps as part of an ongoing review. However, TTP noted that several similar apps remained available after the initial removals.

The investigation follows renewed global attention on AI-generated sexual imagery, particularly after users of X’s Grok chatbot generated altered images of women and minors. Regulators in the UK, the European Union, and parts of the United States have launched inquiries into the misuse of generative AI technologies, increasing pressure on platform operators to tighten enforcement.

TTP argues that the apps highlighted in its report likely represent only a portion of what is available across major app marketplaces. The organization concluded that current enforcement mechanisms are not keeping pace with the rapid spread of AI tools capable of producing nonconsensual and abusive content.

Apple and Google declined to provide detailed public comments beyond confirming app removals and reviews. The report adds to a growing body of evidence that app store governance and automated review systems continue to face challenges as generative AI capabilities become more accessible and easier to misuse.