Hebrew Translation App That Understands Gender and Context

It depends on scope, but as a guide, a native AI translation app like Baba, with gender-aware processing, multiple AI models, sync and subscriptions, typically runs from around EUR 25,000 to EUR 50,000 or more. We give a fixed estimate after a short discovery call rather than quoting blind.

Because Hebrew changes its verbs, adjectives and pronouns based on the speaker's gender and audience, and standard tools translate without any gender context. With no idea who is speaking or to whom, they pick one form and are often wrong. Baba fixes this by asking for the gender context before it translates.

The user picks one of six gender modes before translating, and that choice is passed into the AI system prompt as a parameter. It tells the model exactly how to conjugate verbs and agree adjectives, so the Hebrew comes out grammatically correct for that specific speaker and audience rather than a generic guess.

Through a backend model router rather than calling the APIs directly from the app. The router takes the user's preferred model, sends the request to the right API, and normalises the responses into one consistent format. If a model fails or times out, it falls back to another automatically, so translation stays reliable.

Baba uses Supabase real-time subscriptions to push history and favourites to every connected device within seconds. Each record carries a timestamp, the text pair, the gender mode and a favourite flag, and conflicts resolve by latest-write-wins, so iOS and Android stay in step without a custom sync server.

We use StoreKit 2 on iOS and Google Play Billing on Android, with both verifying receipts through Supabase Edge Functions. The backend tracks subscription status, word usage and billing-period resets, and users can see their remaining quota and next reset date in settings, so the same Pro features work cleanly on both stores.

Yes. Users can choose their preferred AI model, and the backend router sends the request to the right one. Some models are faster and others better for longer text, and if the chosen one fails, the router quietly falls back to another, so the choice is there without the user ever seeing a broken translation.

Baba took around four months from concept to a working app on both platforms. The timeline depends on the AI features, sync and subscription requirements, and we work in two-week sprints with working software throughout, so progress is visible rather than going quiet until launch.