Finance and accounting decision

Qalta

A competent iOS developer can replicate the core Qalta features (voice logging, receipt OCR, local storage, budgets/analytics) in a few weeks using device APIs and existing open-source projects; keeping parity with App-Store polish and ongoing product ops is where the paid product retains advantage.

View on the App Store
You pay

$3.99/mo

$48/yr

Per seat. Read off the official pricing page.

You’d pay instead

$100one-off48 h to build

$0/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 3 seats.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Qalta alternatives, with the arithmetic →

What a replacement has to do

  • User records a transaction (voice/scan/manual) → app extracts amount/category/date → save to local account → update balances, budgets, and analytics.

What it still won’t have

  • Polish and App Store distribution (reviews, discoverability) unless you publish
  • Any proprietary backend telemetry or paid cloud services the developer may run
  • Long-term product support, frequent UX iterations and A/B testing

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 3 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build an iOS expense-tracking app in SwiftUI + Combine with Core Data and optional CloudKit sync. Implement: (1) transaction creation via speech (Speech framework) with parser to extract amount/category/date and recurrence, (2) receipt scanning using Vision text recognition and rules to extract totals/dates, (3) accounts, categories, budgets, recurring transactions stored in Core Data, (4) analytics screens with charts (category breakdown, trends, subscriptions) and CSV import/export, (5) Home Screen widget and Siri Shortcut integration. Out of scope: server-hosted multi-user backend, App Store publishing, paid analytics. Include unit tests for parsing and data model, UI tests for core flows, error handling for OCR/permission failures, and basic accessibility support.
How we checked2 sources · 2/3 runs agreed · evidence score 61

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 2 cited sources+1
  • Price verified on pricing page+3
  • Evidence score61

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 2

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded