Document types
Parse bank and credit card statements into structured data
AutoDocParse reads PDF and scanned bank statements — pulling account numbers, statement periods, opening and closing balances, and every transaction line into clean JSON or CSV. Finance teams use it to speed up reconciliation without retyping rows from PDFs.
What AutoDocParse extracts
- Transaction date, description, and amount
- Opening and closing balances
- Account and statement period metadata
- Multi-page statement support
Why teams choose AutoDocParse
- Cut hours of manual line-item entry each month
- Route low-confidence rows to a review queue before posting
- Export to Excel, Google Sheets, or your accounting system
- Handle statements from different banks with custom parser schemas
How it works
- 1
Upload statements
Drop PDFs, connect Google Drive, or send statements via email intake. AutoDocParse classifies the document as a bank or card statement automatically.
- 2
Extract every transaction
Field-level confidence scores flag ambiguous amounts or dates. Your team approves exceptions in the review queue instead of fixing spreadsheets later.
- 3
Sync to your workflow
Push approved data to your ledger, reconciliation tool, or data warehouse via API, webhook, or scheduled export.
Frequently asked questions
Can AutoDocParse handle scanned bank statements?+
Yes. AutoDocParse processes native PDFs and scanned images. Low-confidence fields are routed to your review queue so nothing posts without verification.
Which fields can you extract from a statement?+
Typical schemas include account number, statement period, opening balance, closing balance, and per-line transaction date, description, debit, credit, and running balance.
Ready to automate bank & credit card statements?
Upload a sample document and see confidence-scored extraction in minutes. No credit card required.