Export, don't connect
Grab a PDF from any bank app. sbudget never asks for your bank password, and there is no aggregator sitting in the middle.
STATEMENT IN. CLARITY OUT.
Your money,
finally legible.
sbudget reads your bank statement PDF and rebuilds the month as a hierarchy: coffee → Food & Drink → everything you actually spent. No bank logins. No screen-scraping. No spreadsheet guilt.
HOW IT WORKS
Three steps. One PDF.
Parse on device
PDFKit reads the text. Scans fall back to Apple Vision OCR. Merchants are normalised, duplicates removed, categories inferred with a transparent rule engine.
See the hierarchy
Parent categories, subcategories and individual transactions in one drill-down. Budgets roll up the same tree, so an envelope always matches the maths.
THE HIERARCHY
Categories that explain themselves.
Most trackers give you a pie chart and a shrug. sbudget keeps the receipts: every parent total opens into subcategories, then into the exact statement lines that produced it.
- Food & Drink → Groceries, Restaurants, Coffee, Delivery
- Home & Bills → Housing, Utilities, Phone & Internet
- Transport → Rides, Fuel, Parking
- Recurring → weekly, fortnightly, monthly and yearly charges
- Custom categories and per-category envelopes
PRIVACY, BY DEFAULT
Your statement is not our dataset.
Parsing happens on your iPhone. The raw PDF is discarded after import. Analytics and crash reports are opt-in, and never include merchant names, amounts or statement text.
On-devicePDF text + Apple Vision OCR
Opt-inPostHog analytics, Sentry crashes
No bank loginNo Plaid, no scraping
Export anytimeYour ledger is yours
Try it with demo data.
The beta build ships with three months of realistic transactions so you can judge the hierarchy before importing anything sensitive.