Transactions
Transactions are records of your income, expenses, and transfers. Every purchase, salary, or transfer is a transaction.
Transaction Types
Expense
Money spent — purchases, bills, services
Income
Money received — salary, gifts, refunds, sales
Transfer
Moving money between your own accounts
Ways to Add Transactions
Quick Add
5-10 secTap + → Enter amount → Category → Account → Save
Receipt Scanner
10 secTap the camera, point at a receipt (or import a photo or PDF), and the amount, merchant, and date are read for you. Multi-item receipts can be split into separate transactions.
Voice Input
5 secHold to record — "Spent 50 euros on groceries at Lidl"
AI CFO Chat
5 sec"Add 45 dollars for coffee" in CFO tab
Hold to record, then speak: "Add 45 euros for groceries at Lidl" · "I spent 30 dollars on gas yesterday" · "Received salary 2000 euros"
Categories
Thrust comes with preset categories. You can also create custom ones.
Expense Categories
Income Categories
Split Transactions
When one purchase includes multiple categories:
Example: Supermarket purchase $50:
- • $30 — Groceries
- • $15 — Household supplies
- • $5 — Pet food
How: Create transaction → Tap Split → Add splits with categories and amounts
Recurring Transactions
For regular payments — rent, subscriptions, salary:
| Example | Frequency | Day |
|---|---|---|
| Rent | Monthly | 1st |
| Netflix | Monthly | 15th |
| Salary | Monthly | 25th |
Thrust automatically creates transactions on schedule and sends reminders 3 days before.
Tags
Additional grouping for transactions:
Filter by tags in Search tab to see grouped spending.
Filtering & Search
By Type
Expenses, Income, Transfers
By Period
Today, week, month, custom dates
By Category
Select one or multiple
By Amount
Range, more than, less than
Import & Export
Export
- CSV — for Excel, Google Sheets
- PDF — for printing, tax reports
Import
- CSV — from other apps
- Bank Statement — CSV export from your bank
Smart Categorization
Thrust uses AI to suggest categories based on:
- Transaction description
- Amount patterns
- Location data
- Your previous categorizations