Statement → Excel / CSV

Bank Statement to Excel, CSV & QuickBooks

Upload PDF or scanned statements and get date / description / amount rows you can actually trust: each value links back to its exact spot on the page, running balances are cross-checked automatically, and anything suspicious is flagged for a one-click review before it reaches your spreadsheet.

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Extract — statement_mar.pdfReadyExport to Excel
DateDescriptionAmount
03/04ACH TRANSFER · PAYROLL−4,812.00
03/06WIRE · MERIDIAN TRADING+25,000.00
03/O7DEPOSIT · BRANCH+6,200.00?
03/09CUSTOMER PAYMENT · SQUARE+2,150.00
03/12CHECK #1023 · WESTSIDE−780.50
03/15WIRE OUT · MERIDIAN−5,000.00
03/21ACH · BLUE CROSS−2,887.45
03/28CARD · OFFICE SUPPLIES−236.78
✓ Balances reconciled — 1 field flagged for a 5-second look, nothing exported silently

How it works

  1. 1

    Drop in one statement or a whole batch (200 files queue fine) — PDFs and scans both work.

  2. 2

    The bank-statement Field Set extracts date, description, debit/credit and balance per row, anchored to the page. Balance math is verified: if a row breaks the running balance, it turns yellow.

  3. 3

    Clear the few flagged rows against the highlighted source snippets, then export a summary table to Excel, CSV or a QuickBooks-ready file.

Why OhMyOCR

Balance cross-check

Opening balance + transactions must equal closing balance. When they do not, the offending rows are flagged with the delta — the classic transposed-digit error is caught before export.

Every amount is anchored

Each extracted value links to its box on the original page. A value that cannot be found in the source text is marked "not in source" and never silently exported.

QuickBooks, Xero & Wave ready

Export a CSV pre-formatted for each tool's bank-statement import — column names and order match what their import wizards expect, with debits and credits signed correctly — or a full summary table to Excel/CSV.

Verified-only export

The export switch delivers only rows that passed checks or were human-confirmed, and counts what was excluded — an audit trail instead of a leap of faith.

Why bank-statement conversion goes wrong — and how verification fixes it

Every accountant who has cleaned up a year of statements knows the failure mode: the converter outputs a beautiful spreadsheet with one silently transposed amount, and the error only surfaces weeks later when the books refuse to reconcile. Generic PDF-to-Excel tools optimize for looking right; bookkeeping needs being right, and the difference is exactly one wrong digit.

OhMyOCR attacks the problem structurally. Every extracted amount is anchored to its pixel region on the statement — a value that cannot be located in the source text is flagged as “not in source,” never exported silently. Then the running-balance check recomputes opening balance + transactions against the printed closing balance: if they disagree by even one cent, the rows involved turn yellow with the delta shown. You review a handful of flags with the original snippets beside you, not five hundred numbers on faith.

From a year of statements to one reconciled table

Batches are the native unit: drop in twelve months of statements, and files become reviewable the moment each one finishes — no waiting for the whole queue. The cross-file review flow chains the flagged rows across the batch (J/K/Enter), and the batch page shows exactly how many files are verified versus still carrying flags.

When the flags are cleared, the Export Center produces one summary table for the entire batch — your Field Set columns plus source_file and status for every row — as Excel, CSV, or a QuickBooks-ready 3-column file with debits signed negative. A verified-only switch excludes any row that still carries an unresolved flag and tells you how many it excluded: the export is an audit trail, not a leap of faith.

Frequently asked questions

How do I convert a bank statement PDF to Excel?

Upload the statement, pick the built-in Bank statement Field Set (it is preselected if you arrive from this page), run extraction, clear any yellow flags against the highlighted page snippets, then export Summary Excel or CSV.

How is this different from a generic PDF-to-Excel converter?

Generic converters hand you a table and hope it is right. OhMyOCR anchors every value to the page, cross-checks running balances, and explicitly flags what needs human eyes — you review five flags, not five hundred numbers.

Does it work with scanned or photographed statements?

Yes. Scans go through OCR first; the extraction and balance checks work the same. Low-confidence regions are flagged with image snippets so you can verify against the original in one glance.

Can it export to QuickBooks?

Yes — a QuickBooks-compatible 3-column CSV (Date, Description, Amount) with correct signs for debits and credits, which QuickBooks imports directly. To be precise: .qbo bank-feed files are a different format we don't generate — the CSV route covers the same import. Xero and Wave have their own dedicated export formats, matching each import wizard's expected columns.

Is my banking data safe?

Documents are processed through our own pipeline, never used to train AI models, and you can enable auto-deletion of originals N days after processing. There is also a zero-LLM rules mode for extraction.

Try it on your own file

Free to start, no credit card, results you can verify line by line.

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