How do I reconcile extracted statement data against a spreadsheet?

Direct answer

Reconcile extracted statement data by mapping transactions to spreadsheet records, comparing dates and amounts, and flagging unmatched or mismatched rows. Lido helps create the reviewed comparison layer.

For “How do I reconcile extracted statement data against 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 support matching keys, variance checks, duplicate detection, missing-row flags, category rules, and exception exports.

For “How do I reconcile extracted statement data against 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 reconcile extracted statement data against 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 reconcile extracted statement data against 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 reconcile extracted statement data against 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 rows, balances, dates, and matching identifiers.
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.