How much does a recipe app cost?
It depends most on where the recipes come from and whether there’s AI. These are our ranges for iOS and Android from one codebase.
They cover design, build, backend, testing, store submission and 3 months of free support after launch. Hosting, AI usage and recipe licensing are extra. They are our estimates for comparable client apps, not Pantry Pic’s own spend.
| App | What it includes | Cost (AUD, ex GST) | Timeline |
|---|---|---|---|
| Recipe app, no AI | Your recipe catalogue, search and filters, favourites, accounts | $25k – $50k | 1 – 2 months |
| Creator or brand recipe app | The above plus subscriptions, a CMS for new recipes, push notifications | $40k – $70k | 2 – 3 months |
| AI added to an existing recipe app | Photo-to-recipe, recipe import or a cooking assistant | $15k – $40k | 3 – 8 weeks |
| AI recipe app, version 1 | Photo ingredient detection, AI recipes, shopping list, accounts, subscriptions | $60k – $100k | 3 – 4 months |
| Full AI kitchen app | Meal planning, receipt and barcode scanning, recipe import, chat, AI pictures, several languages | $100k+ | Built in phases over a year or more |
Things that move the price: a licensed catalogue versus AI recipes, meal planning, household sharing, offline use, serving and unit conversion, nutrition data and the number of languages. Compare quotes on scope, not the headline number.
For what drives app prices in general, see our app development cost guide.
What a recipe app costs in the first year after launch
Here’s the build plus the first 12 months after launch for an AI recipe app version 1. All figures are AUD, ex GST. The running cost assumes a workload like Pantry Pic’s today. The rest are our budget assumptions, not a quote.
| Item | Assumption | Build plus 12 months (AUD) |
|---|---|---|
| Build | Mid-range AI recipe app, ex GST | $80,000 |
| Maintenance | 15% of the build a year, after 3 months of free support: $80,000 × 15% × 9/12 | $9,000 |
| AWS and AI | Under A$100 a month, as Pantry Pic runs today | Up to $1,200 |
| Apple Developer Program | Yearly fee, A$144.99 in Australia | About $145 |
| Google Play | US$25, once | About $36 |
| Total | About $90,400 |
Running costs grow with users and with how much AI each user runs. Pantry Pic’s figure is a guide, not a ceiling for another app.
How Pantry Pic was built, month by month
Pantry Pic is our own app. You photograph your fridge or pantry, it finds the ingredients, and it suggests recipes you can make. It’s rated 4.6★ on the Australian App Store.
Here’s the timeline from the git history. It shows what a version 1 needs and what can wait.
| When | What shipped |
|---|---|
| 22 May 2025 | First commit |
| 25 May 2025 | Subscription paywall set up in the first week, not left to the end |
| June – August 2025 | Photo detection, AI recipes, shopping lists, accounts, Android build |
| September 2025 | Live on the App Store and Google Play, 4 months after the first commit |
| October – December 2025 | Meal planning, nutrition scores, push notifications, Live Activity cooking timers |
| January 2026 | Shelf life tracking and receipt scanning |
| June 2026 | Barcode scanning, recipe import from links, text and photos, a recipe assistant |
| July 2026 | Version 2, plus an iOS share extension to save recipes from other apps |
| October 2026 | Version 3, with AI recipe pictures and a new paywall |
For how timelines work on other apps, see how long it takes to build an app.
What’s under the hood
Pantry Pic is a React Native app built with Expo, so one codebase runs on iPhone, iPad and Android. The backend is serverless on AWS, defined in code with the AWS CDK.
| Part | What we used | Why |
|---|---|---|
| App | Expo and React Native, TanStack Query | One codebase for iOS and Android. Native camera through react-native-vision-camera |
| API | AWS AppSync (GraphQL) and Lambda | Pay for what runs. Over 100 Lambda functions, no servers to patch |
| Data | DynamoDB on demand, S3 and CloudFront | No idle servers to pay for. Storage and backups still cost a little |
| Slow AI jobs | SQS queues and worker functions | Recipe generation and imports run in the background and stream back |
| Sign-in | Amazon Cognito with Apple and Google | Apple’s guideline 4.8 generally requires a private login option alongside Google sign-in |
| Search | OpenSearch | Public recipe pages and recipe search |
| Subscriptions | RevenueCat over Apple and Google billing | One subscription status across both stores |
| Website | Next.js on AWS Amplify, Sanity blog | Marketing site in 9 languages |
| Quality | Sentry, Maestro, Jest and Vitest | 175 Maestro end-to-end flows and 4,814 mobile tests at version 3.1 |
Serverless is a big part of why it’s cheap to run. Pantry Pic costs under A$100 a month, AWS and AI included. See the maintenance cost guide for the full running-cost picture.
Building it in 9 languages
Pantry Pic and its website run in English, German, Spanish, French, Italian, Japanese, Dutch, Polish and Portuguese. Store listings go further, with 15 locales on the App Store and 18 on Google Play.
There’s no separate translation service for recipes. The AI writes each recipe in the user’s language from the start. That avoids a translation call for every recipe, but each language still needs checking.
Budget to translate and check screens, push messages, paywalls and store assets for each market. Ingredient names differ too: a “capsicum” in Sydney is a “bell pepper” in Chicago. Plan for it from the first screen, not as a later phase.
How the AI recipe pipeline works
- The user takes photos of their fridge, pantry or a shopping haul. Free users can add up to 4 photos per scan and Pro users up to 9.
- A vision model lists the ingredients it can see. The user reviews the list and fixes anything wrong.
- A worker function asks a language model for recipes that use those ingredients, in the user’s language. Results stream back as they’re written.
- The app saves the recipes, flags missing ingredients and can add them to the shopping list.
- On request, an image model makes a picture of the finished dish.
Other ways in use the same backend. Recipes can be imported from a link, pasted text or a photo of a recipe card. Receipts can be forwarded by email to fill the pantry. Barcodes are looked up in Open Food Facts.
Which models, and what they cost
Each of Pantry Pic’s six AI features can be pointed at a different model from the backend, without a store release. The features are ingredient detection, recipe generation, recipe import, nutrition, substitutions and recipe chat.
When a fallback is set, it must be from a different provider, and each attempt gets 12 seconds before the next one starts. That lowers the chance that one provider’s outage stops people cooking.
| Task | Model tested | Cost (USD) |
|---|---|---|
| Find ingredients in a photo | gpt-4o | $0.0076 a photo |
| Find ingredients in a photo | gpt-6-luna | $0.0006 a photo |
| Make a dish picture, about 768 px | gpt-image-2.5-flare, low quality | $0.0064 a picture |
Worked example: AI cost of scans and pictures
Take a keen subscriber who runs ingredient detection on 30 photos a month and makes 5 dish pictures. That’s 360 photos and 60 pictures a year.
On gpt-4o: 360 × US$0.0076 = US$2.74 for photos. Pictures add 60 × US$0.0064 = US$0.38. Total US$3.12 a year.
On gpt-6-luna, the photos drop to 360 × US$0.0006 = US$0.22. Total US$0.60 a year.
This covers detection and pictures only, using our measured average cost per photo. Recipe writing, chat and imports add more, so Pantry Pic logs the estimated cost of every AI call.
Pantry Pic’s annual plan is advertised at US$29.99. At a 15% store commission that’s US$25.49 before tax, as a simple commission-only sum. Even on gpt-4o, this user’s detection and pictures cost about 12% of it. Free users cost AI money with no revenue, so the free plan has a monthly limit.
Subscriptions and store fees
Pantry Pic makes money from subscriptions. The paywall was running in week one, using RevenueCat on top of Apple and Google billing.
- Free plan: 4 scans a month. Reading a photo uses one scan and writing recipes from it uses another, so that’s two full runs. No AI pictures.
- Pro plan: monthly or annual, both starting with a free trial. Annual is advertised at US$29.99. Pro includes 5 AI pictures a month.
- Extras: a lifetime option at US$59.99 and a 20-picture pack.
- Apple keeps 30% of a subscription until that subscriber has a year of paid service, then 15%. Approved members of its Small Business Program, for developers with up to US$1 million in yearly proceeds, pay 15% from the start.
- For users in Australia, Google Play charges a 10% service fee on auto-renewing subscriptions, plus a 5% billing fee when Google Play Billing is used. This took effect on 30 September 2026. One-off purchases are charged differently. See Google’s service fees.
- RevenueCat is free up to US$2,500 a month in tracked revenue. Above that it charges 1% of all tracked revenue. See RevenueCat pricing.
Other ways recipe apps earn money: one-off purchases, add-on packs, affiliate links to grocery stores and sponsored recipes from food brands.
Apple requires you to describe clearly what a subscriber gets for the price before asking them to subscribe. Budget a review round or two for paywall wording.
Where will your recipes come from, and who owns them?
Sort this out before you build. Recipe sourcing changes your licensing costs, your backend and your scope. This is general information, not legal advice. Get an Australian IP lawyer to check your plan before launch.
What copyright covers in a recipe
- In Australia, copyright protects the original expression of ideas and information, not the ideas or information themselves. Photographs are protected as artistic works. See the Attorney-General’s Department’s copyright basics.
- So a plain list of ingredients and quantities is generally treated as information. Lawyers at Ashurst wrote in November 2025 that ingredients, quantities and timing are “information”, while the way a method is written can be protected.
- The US Copyright Office puts it plainly for the US: a mere list of ingredients is not copyrightable, but the written explanation and photos can be. See Circular 33. It’s useful context, not Australian law.
- Australia has no general US-style fair use. Its fair dealing exceptions cover set purposes such as research, review, news and parody. Don’t assume copying recipes into a commercial catalogue fits any of them.
Your options for recipe content
| Source | Good for | Watch out for |
|---|---|---|
| AI-generated recipes | Recipes made for the ingredients on hand | Label them as AI. Test for allergens and unsafe steps. AI output isn’t guaranteed free of others’ rights |
| Your own or commissioned recipes | Creators and food brands | Get written rights to the text and the photos |
| Licensed recipe API or publisher | A large catalogue fast | Search access may not cover storing, offline use, images or sending text to an AI model |
| CC BY recipes | A free starter catalogue | You must credit the author, link the licence and say if you changed it |
| CC0 recipes | A free starter catalogue | No attribution needed, but check each recipe really is CC0 |
| User imports | People saving their favourite recipes | Keep them private to the person who saved them. That reduces risk but isn’t a licence |
Recipe APIs differ a lot in what you can store. Spoonacular’s paid plans are US$29, US$79 and US$149 a month, and it lets you cache user-requested data for 1 hour. Edamam’s plans are US$9, US$99 and US$399 a month. Its two cheaper plans give web recipes without cooking instructions and link to the source site. See Spoonacular pricing and Edamam’s Recipe API.
Product databases have their own licences too. Open Food Facts uses the ODbL for its database, the DbCL for individual entries and CC BY-SA for product photos. See its terms of use before you store or show its data.
Privacy: photos, receipts and allergies
A recipe app collects more personal information than it looks. Kitchen photos can show people and homes. Forwarded receipts show names, stores and spending. Allergy and diet settings can be health information.
The Privacy Act’s APPs cover businesses with turnover over $3 million. They also cover some smaller ones, such as health service providers and businesses that trade in personal information without consent. The OAIC’s small business page has the full list. App stores expect a privacy policy either way.
- Tell people which AI providers see their photos, and get explicit permission first. Apple’s guideline 5.1.2(i) requires it for third-party AI.
- Only collect what the feature needs, and decide how long you keep photos and receipts.
- Build account deletion into the app. Apple requires a way to start it in the app, and Google Play also wants a web page for deletion requests.
- Check each AI provider’s terms on training, retention, human review and where data is processed. Free tiers can let the provider use or review what you send.
These flows take design, build and testing time, so they belong in the first quote. The AI app cost guide covers the Privacy Act changes for AI in more depth.
What are the hard parts?
- Bad light. Fridge photos are dark, cluttered and half-hidden behind the milk. Test detection on real kitchens, not stock photos.
- Matching. “Tomato”, “cherry tomatoes” and “tinned tomatoes” must map to ingredients a recipe understands. Let users fix the list before you cook with it.
- Food safety. An AI recipe can suggest an unsafe step or miss an allergen. Under the Australian Consumer Law, claims about accuracy or dietary suitability must be true, and a disclaimer doesn’t remove consumer guarantees. Test for it and label AI recipes clearly.
- Cost control. Free scans cost real money. Set limits from day one and track the cost of every AI call.
- Google Play rules. Apps that generate content with AI must let users report offensive content without leaving the app. See the AI-generated content policy.
Getting a quote for a recipe app
Come with three answers: where the recipes come from, which features must be in version 1, and how you’ll charge. Those three decide most of the quote. Our app brief template covers the rest.
We’re an Australian team in North Bondi and we’ll sign an NDA before you share your idea. Send us a brief through the free estimate form and we’ll come back with a range.
Common questions
How much does recipe app development cost in Australia?
Our estimates are $25,000–$50,000 for a recipe app without AI and $60,000–$100,000 for a first version of an AI recipe app, both for iOS and Android, AUD ex GST. That includes design, build, backend, testing, store submission and 3 months of support. Hosting, AI usage and recipe licensing are extra.
How do you build a recipe app?
Decide where the recipes come from and confirm you have the rights. Then design the core loop, build iOS and Android from one codebase, add accounts and subscriptions early, test with real users and submit to both stores. In our experience a recipe app without AI takes 1–2 months, and an AI recipe app about 3–4 months.
How much does a recipe app cost to run?
It depends on users and AI usage. Pantry Pic, an AI recipe app on iOS and Android with a serverless backend, costs under A$100 a month to run in October 2026, AWS and AI included. We also plan for maintenance at 15–20% of the build cost a year.
Can I build an app like Pantry Pic as an MVP?
Yes. Start with photo detection, AI recipe suggestions, a shopping list, accounts and subscriptions. Add meal planning, receipt scanning and recipe import once people are using it. That is the order Pantry Pic shipped in.
Can I use recipes from other websites in my app?
Usually you need a licence to reproduce someone else’s recipe text or photos. Ingredients and basic cooking steps are generally treated as information, but original recipe wording and photos may be protected. Australia has no general fair use exception. Get permission, use open-licence recipes or write your own. AI-generated recipes need checking too.
How accurate is AI ingredient detection?
Good, but not perfect. In our September 2026 test on real pantry photos, the best model found 80% of items, with a few wrong. That is why Pantry Pic lets users review and fix the ingredient list before it suggests recipes.
Do you sell Pantry Pic’s code?
No. Pantry Pic is our product. We build new apps for clients, using what we learned building it.
Sources
- Attorney-General’s Department: copyright basics
- US Copyright Office: Circular 33, works not protected by copyright
- Ashurst: food law update, recipes and copyright (November 2025)
- Apple: App Store Small Business Program
- Apple: App Review Guidelines
- Google Play: service fees
- Google Play: AI-generated content policy
- RevenueCat pricing
- OAIC: small business and the Privacy Act
- Pantry Pic pricing