Automate Statement Reconciliation PDF Data Extraction
Convert bank and credit card statements into structured Excel data. Use reusable templates and custom schemas to standardize transaction reviews for finance teams.
How the workflow works
Define Extraction Schema
Create a schema for transaction dates, descriptions, and amounts to ensure consistent field mapping.
Apply Reusable Templates
Process recurring statement formats automatically using saved templates to maintain structural integrity.
Review and Export
Verify extracted transaction tables side-by-side with the original PDF before exporting to Excel.
Manual vs structured workflow
Manual process
Copy-pasting rows from PDF tables into spreadsheets.
Structured workflow
Instant table extraction using custom schema mapping.
Manual process
Manually correcting OCR errors in Excel after conversion.
Structured workflow
In-app split-screen review for accuracy before final export.
Manual process
Re-building layouts for every different bank format.
Structured workflow
Reusable templates for consistent recurring statement processing.
Common finance use cases
- Monthly bank statement reconciliation
- Credit card transaction auditing
- Intercompany account balance matching
- Year-end financial statement verification
Frequently asked questions
How does Xtract PDF AI handle different bank layouts?
The platform uses reusable templates and custom schemas to map specific table columns regardless of the bank's unique document design.
Can I review the extracted transactions before exporting?
Yes, our split-screen review interface allows you to compare the original PDF statement directly against the extracted data points.
Is the output ready for Excel?
The extracted data is formatted into structured tables that are ready for immediate import into Excel or other reconciliation software.