A statement built for reading, not reconciling
A bank statement is designed to be read top to bottom by a person — every transaction listed with its date, description and amount, formatted as a PDF or a portal export. What it isn't designed for is being dropped directly into a covenant calculation schedule to verify that reported cash flow actually matches what cleared the account.
That gap — a document readable by eye but not directly usable for a line-by-line reconciliation — is what this tool closes. Upload the statement, get back a structured file with one row per transaction, ready for the cross-check that a covenant review actually needs.
Why copy-paste doesn't work
Selecting text from a bank statement PDF and pasting it into a spreadsheet usually produces a mess — dates and amounts that merge together, columns that collapse into one, descriptions truncated mid-word. Fixing that by hand, for a statement covering a full quarter, takes longer than most finance teams expect the first time they try it.
The underlying problem is that a PDF encodes visual position, not table structure — a converter has to reconstruct which text belongs to which column, exactly the step copy-paste skips.
What gets extracted
| Data | Detail |
|---|---|
| Date | Transaction or posting date as shown on the statement |
| Description | The text as it appears, without reformulation |
| Amount | Debit or credit, with the sign correctly identified |
| Running balance | Balance after the transaction, when the statement shows it |
Formats this handles
Standard PDF bank statements, scanned or photographed statements, and exports from an online banking portal saved as PDF — the layout is read directly from what's uploaded rather than matched against one fixed template, so different banks' statement designs are handled the same way.
How it works
Upload the statement
A PDF, scanned file, or portal export covering the period.
Layout is read
Columns and rows reconstructed from the document's actual structure.
Fields extracted
Date, description and amount pulled with a confidence score on each.
Exported
Excel, CSV or JSON, one row per transaction.
A statement, converted
A finance team preparing a quarterly compliance package uploads three months of business checking statements, roughly 40 pages combined. All the transactions are extracted in under three minutes, with the vast majority read at high confidence and a small number flagged for a quick visual check — a description partially cut off at a page break, corrected in seconds using the source page shown alongside the flagged row.
| Result | Count |
|---|---|
| Transactions extracted | 312 |
| Read with high confidence | 298 |
| Flagged for quick review | 14 |
| Genuine correction needed | 3 |
Manual vs. automatic
| Manual | Automatic |
|---|---|
| Copy-paste breaks columns and truncates descriptions | Layout reconstructed into proper columns |
| A quarter of statements retyped by hand | A quarter of statements converted in minutes |
| Errors caught only when a total won't tie out | Every field confidence-scored on extraction |
| Redone for a second account or bank | Same method applies regardless of bank |
What people do with the spreadsheet
The converted statement most commonly feeds into the cross-check step of preparing a covenant compliance package — see loan covenant reporting for that specific workflow. Others use it simply to keep a searchable transaction history without having to reopen PDFs whenever a question about a specific payment comes up.
Who uses this
Finance teams preparing covenant compliance packages, controllers who need bank data in a spreadsheet without retyping it, and outside accountants who receive a client's statements and need them structured before reconciling against a calculation schedule.
Edge cases worth knowing
A statement spanning multiple pages with a transaction split across a page break is reassembled correctly — it isn't treated as two partial entries just because its line happened to fall on a page boundary.
A statement covering a account with high transaction volume — hundreds of lines across several pages — is read the same way as a simpler statement; volume changes processing time slightly, not the underlying method.
What this doesn't do
Doesn't identify debt-service transactions automatically
It extracts every line faithfully; categorizing which relate to debt service is a downstream step.
Doesn't calculate covenant ratios
It converts the statement into structured data; the covenant matching tool handles the reconciliation.
Doesn't submit anything to your bank
It's a read-only conversion of the document you upload.
Security and privacy
Uploads are encrypted with TLS from end to end.
Processing runs on infrastructure with SOC 2-aligned controls.
Original documents are deleted shortly after processing.
Nothing you upload is ever used to train AI models.
Details are on the security page.