How do I extract transactions from bank statements into a spreadsheet?

Direct answer

Extract bank statement transactions by turning each statement row into a spreadsheet row with date, description, debit, credit, balance, and account context. Lido helps preserve transaction rows and review exceptions.

For “How do I extract transactions from bank statements into a spreadsheet?”, define the exact fields, rows, review rules, and destination before scaling automation across a larger document batch.

What the workflow should include

The workflow should identify transaction tables, remove repeated headers, preserve row order, normalize amounts, and check balances before export.

For “How do I extract transactions from bank statements into a spreadsheet?”, pay special attention to repeated headers, broken table rows, scanned pages, institution-specific formats, and sensitive account values; those edge cases usually determine whether the output is usable downstream.

Before scaling “How do I extract transactions from bank statements into a spreadsheet?”, test a small set of real files and compare the extracted rows against the originals so the team can tune fields, review rules, and exports before higher-volume automation begins.

How Lido helps

For teams trying to extract transactions from bank statements into a spreadsheet, Lido combines AI document extraction with spreadsheet-style review, validation, and automation for accounting and finance teams.

That lets teams answer “How do I extract transactions from bank statements into a spreadsheet?” with a reusable process that can be tested, corrected, and connected to spreadsheets, CSV files, reconciliation workbooks, or finance systems.

Example workflow

1. Collect financial statement PDFs from email, shared folders, uploads, or another intake path.
2. Define the target fields or table columns: transaction dates, descriptions, deposits, withdrawals, balances, and account details.
3. Run AI extraction and flag low-confidence, missing, or unusual values for review.
4. Export approved results to Excel, Google Sheets, or a finance review workflow and monitor exceptions over time.