How to build an AI image generator app for iOS
What an AI image generator app needs
- A prompt input, with optional style presets or aspect ratio choices
- A server-side call to an image generation API, so the API key never ships in the app
- A loading state, since generation takes a few seconds, and graceful handling of failures
- A gallery to view, save, and share generated images, stored on device or in the user's storage
- Credits or usage tracking, so generation cost is tied to what a user has paid for
- Content moderation on prompts and outputs, plus a way to report images, which App Review expects
- Optional extras like upscaling, variations, or saving to the Photos library
As with any AI app, the key must live on a server. An image API key embedded in the app can be extracted and abused, and the bill is yours.
How to build it with AppFlight
Describe it in plain English, for example: "An AI image generator where I type a prompt, pick a style and aspect ratio, and get an image back. Save results to a gallery I can browse and share, run generation through my backend so the API key stays server-side, give new users a few free images, then require credits, and moderate prompts to block disallowed content." With AppFlight, the public client keys ship in the app while backend secrets like your image API key stay server-side in your own Supabase, and the generated app calls a backend function that runs the generation. AppFlight generates native SwiftUI, wires the integrations, and launches it in a live simulator so you can submit a prompt and see the result. You iterate in plain language, for example adding variations or a save-to-Photos action.
Monetization for an AI image generator app
Generation cost makes credits or a subscription the natural fit. A credit pack lets users buy a balance of images, which maps cleanly to your per-image cost. A subscription with a monthly generation allowance works for heavier users. A few free generations up front lower the barrier to trying it. Add a RevenueCat paywall to manage subscriptions and credits, and use Superwall to test paywall designs without shipping an update. Track usage server-side and price against your real per-image cost so revenue stays ahead of API spend.
Shipping it to the App Store
When the app is ready, AppFlight signs the build, uploads to TestFlight so you can test generation on your own device, then submits to the App Store with metadata and screenshots from the simulator. Image generation apps draw scrutiny, so include moderation that blocks disallowed prompts and outputs, add a way to report images, set an accurate age rating, and disclose that images are AI-generated. If Apple rejects the build, AppFlight reads the reason, works on the fix, and resubmits. Apple reviews every app, so a submission is not the same as an approval.
FAQ
Do I need to code to build an AI image generator app?
No. You describe the app in plain English and AppFlight generates native Swift and SwiftUI. The key architectural point is that the image generation API key must stay server-side, not in the app.
How do AI image apps cover the cost of generation?
Each image has a real API cost, so most apps sell credits or a subscription with a generation allowance. A small number of free generations lets users try the app before paying. A RevenueCat or Superwall paywall handles the billing.
What does App Review expect from an AI image generator?
Because users generate content, you need moderation to block disallowed prompts and outputs, a way to report images, and an accurate age rating. Apps that can produce explicit or harmful imagery without safeguards are rejected. Submitted is not approved.