App Store

    Does Apple check the safety of AI-generated images?

    A 2026 view of an AI image-generation app being reviewed for content safeguards, with prompt and output filtering, an age rating, and moderation controls under Guideline 1.1

    Apple does not sit and inspect every image your app can generate, but that is not the reassurance it sounds like. App Review evaluates your app's content and, more importantly, its safeguards, and AI-generated images are held to exactly the same content rules as anything else. An app that can produce objectionable or harmful imagery without moderation is a rejection, and apps caught generating nonconsensual or illegal content get removed. So the real question is not whether Apple checks each image, but whether your app has the safety measures Apple expects. Here is what those are.

    Short answer

    Apple reviews your app's content and its content-safety measures, not literally every AI-generated image. AI-generated images are held to the same standards as any other content, so Guideline 1.1 on objectionable content, your app's age rating, and the intellectual property rules all apply. Per Apple's safety guidelines, an app that can generate images is expected to filter or moderate output, prevent the creation of harmful or illegal content, and carry an appropriate age rating. The developer is responsible for what the app produces. So a feature that generates images needs moderation and safeguards built in, or it risks rejection and removal.

    What you should know

    • Same rules apply: AI-generated content meets the same standards as any content.
    • Safeguards are reviewed: Apple checks for moderation, not every single image.
    • Objectionable content is banned: Guideline 1.1 covers harmful or offensive output.
    • Age rating matters: an image generator needs a rating that fits what it can produce.
    • You are responsible: the developer answers for what the app generates.

    Does Apple review every AI-generated image?

    No, and it does not need to. App Review cannot inspect an infinite space of generated outputs, so instead it evaluates the app's capability and the controls around it: can the app produce objectionable content, and if so, what stops it? A reviewer will exercise the feature, and if it readily generates harmful, sexual, violent, or infringing imagery, that is grounds for rejection regardless of how the image was made. Beyond review, Apple acts on reports and removes apps found generating illegal or nonconsensual content. So the absence of a per-image check is not a loophole; it shifts the burden to your safeguards, which are what review actually assesses.

    What rules must AI-generated content meet?

    The same ones that govern any app content. The table maps the relevant rules.

    RuleWhat it requires of generated images
    Guideline 1.1 Objectionable contentNo offensive, violent, sexual, or harmful imagery
    Age ratingA rating consistent with what the app can produce
    Guideline 1.2 User-generated contentModeration, reporting, and blocking if images are shared
    Intellectual propertyOutput must not infringe others' rights
    Guideline 5.1.2 Data sharingDisclose if user input is sent to a third-party AI

    The throughline is that "AI-generated" is not a special category that escapes the rules; it is content your app is responsible for, judged the same way uploaded or authored content would be. If the images can be shared between users, the user-generated content obligations to moderate, report, and block also apply.

    What does your AI image app need to pass?

    Built-in safety, an honest rating, and disclosure. Concretely, add filtering that blocks prompts and outputs for objectionable or illegal content, since a reviewer who can trivially generate something harmful will reject the app. Set an age rating that matches the most mature content the app can realistically produce, rather than an optimistic one. If users can share generated images, include moderation, a reporting mechanism, and the ability to block, as required for user-generated content. And if prompts or images are sent to a third-party AI service, disclose that data sharing and get consent under the privacy rules. The pattern is that the safeguards do the work review relies on, so build them before you submit.

    What to watch out for

    The first trap is assuming AI output is exempt because Apple cannot pre-screen it; the app is judged on whether it can produce objectionable content and what prevents that. The second is an age rating set too low for what the generator can create, which is its own rejection. The third is forgetting the user-generated content duties when images are shared. The content-safety side is a product requirement, while a pre-submission scan such as PTKD.com (https://ptkd.com) covers the security side, reading the binary against OWASP MASVS and surfacing where prompts and images are sent so you can confirm your third-party AI data sharing is handled and disclosed. Moderation and rating are work you build into the app itself.

    What to take away

    • Apple reviews your app's content and safeguards, not every AI-generated image, and AI output meets the same content rules as anything else.
    • Guideline 1.1, your age rating, the user-generated content duties, and intellectual property rules all apply to generated imagery.
    • Build in filtering and moderation, set an honest age rating, and add reporting and blocking if images are shared, or risk rejection and removal.
    • Disclose any third-party AI data sharing, and use a pre-submission scan such as PTKD.com to confirm where prompts and images are sent on the security side.
    • #ai-generated-content
    • #guideline-1-1
    • #objectionable-content
    • #age-rating
    • #content-moderation
    • #app-review
    • #ios

    Frequently asked questions

    Does Apple check every AI-generated image?
    No. App Review cannot inspect an infinite space of outputs, so it evaluates the app's capability and the controls around it: can the app produce objectionable content, and what stops it? A reviewer exercises the feature, and if it readily generates harmful or infringing imagery, that is grounds for rejection. Apple also acts on reports and removes apps found generating illegal content. The burden is on your safeguards, which is what review assesses.
    What rules apply to AI-generated images?
    The same ones that govern any app content. Guideline 1.1 prohibits objectionable, violent, sexual, or harmful imagery; your age rating must match what the app can produce; intellectual property rules mean output must not infringe; and if images are shared between users, the user-generated content duties to moderate, report, and block apply. AI-generated is not a special category that escapes the rules, it is content your app is responsible for.
    What does an AI image app need to be approved?
    Built-in safety, an honest age rating, and disclosure. Add filtering that blocks prompts and outputs for objectionable or illegal content, set an age rating matching the most mature content it can realistically produce, and if users share images, include moderation, reporting, and blocking. If prompts or images go to a third-party AI service, disclose that data sharing and get consent. The safeguards do the work review relies on, so build them before submitting.
    Can my app get removed for AI-generated content?
    Yes. Beyond rejection at review, Apple removes apps found generating illegal or nonconsensual content, such as tools that can create harmful or abusive imagery. So the risk is not only at submission; an app that can produce such content after approval can be pulled. The protection is genuine moderation and filtering that prevents the app from generating prohibited imagery in the first place, not just a content policy in your terms.
    Do I need to disclose using a third-party AI for images?
    Yes, if user prompts or images are sent to an external AI service. Apple's privacy rules require disclosing where personal data is shared with third parties, including third-party AI, and obtaining consent before sharing. So beyond content safety, you must handle the data side: tell users their input goes to the AI provider and why. A pre-submission scan can confirm where that data is sent in your build so the disclosure matches reality.

    Keep reading

    Scan your app in minutes

    Upload an APK, AAB, or IPA. PTKD returns an OWASP-aligned report with copy-paste fixes.

    Try PTKD free