Bookkeepers, accountants, and small business owners still spend hours copying transactions out of bank statement PDFs into spreadsheets. It is slow, and the errors are hard to spot: one mistyped amount and the month does not balance, and finding the line that caused it takes longer than the typing did.
Extraction is not enough
Plenty of tools will pull a table out of a PDF. The hard part is trusting the result. A statement converter is only useful if it tells you when the numbers do not add up. Otherwise you have moved the transcription errors from your fingers to the software and still have to check every line.
What Balancely does
Balancely was built for Canadian bank and credit-card statements, with reconciliation at the centre:
- Multi-statement uploads: process up to six bank or credit-card PDFs together.
- Reconciliation checks that cross-check every total and flag even small discrepancies.
- AI categorization with vendor memory, so the categories you set are remembered for future statements.
- Export to clean Excel workbooks, CSV files, or QuickBooks Web Connect (QBO) files.
- Private processing: transactions are processed in memory without storing every line item.
Where AI helps, and where it should not
AI is good at reading messy statement layouts and at suggesting categories. It should not be the thing that decides whether your books balance. In Balancely, the model handles extraction and categorization, and deterministic arithmetic checks the totals. If the AI misreads a line, the reconciliation check catches it. That split between model output and hard validation is how we build every AI agent we ship.
Try it
Balancely is live at balancely.ca. Upload a statement and get a reconciled workbook in minutes.