1. Upload a sample
Start with digital and scanned bank statement pdfs and create a dedicated Box.
Bank statement converter
Convert Bank Statements Into Structured Transaction Data
Capture statement details and transaction rows from PDFs or scans, review the results, and export a clean spreadsheet or JSON file.
No credit card Review before export CSV, Excel, JSON, PDF
Source document Ready
Structured output
Statement period
Captured value
Account reference
Captured value
Transaction date
Captured value
Description
Captured value
Debit
3 rows extracted
Input
digital and scanned bank statement PDFs
Process
AI extraction, OCR when needed, batch processing, and human review.
Output
structured transactions in Excel, CSV, or JSON
How it works
What a bank statement converter should capture
Statements combine account-level information with a repeating transaction ledger. A converter must preserve the date, description, debit or credit amount, and running balance for every row while also capturing the statement period and account reference.
Parsinto uses a reusable template to separate those elements, process similar statements in batches, and keep the extracted values available for review. You choose the final format based on the reconciliation, bookkeeping, or data workflow that follows.
Configurable schema
Extract the fields your workflow needs
Start with AI-suggested fields, then edit the names and table columns so the output matches your process.
Statement period
Account reference
Transaction date
Description
Debit
Credit
Amount
Running balance
Three steps
From source document to structured output
2. Define and extract
Use suggested fields or edit the schema, then process related documents in a batch.
3. Review and export
Check the extracted values and download structured transactions in excel, csv, or json.
Use cases
Built for real document workflows
Keep the extraction step focused, auditable, and easy to hand off.
Bookkeeping
Prepare transaction rows for categorization and month-end reconciliation.
Lending operations
Standardize statement data before review while retaining the source document for reference.
Financial data teams
Convert recurring statements into a consistent schema for downstream processing.
Evaluation checklist
What to check before you scale
Supports scanned and digital statements
Keeps transaction rows aligned
Handles multiple statement layouts
Offers CSV, Excel, and JSON output
Why teams use Parsinto
Configurable output
Name the fields and table columns around your own process.
Digital PDFs and scans
Use OCR only when needed while keeping one extraction workflow.
Review before handoff
Inspect extracted values before they reach another person or system.
Portable formats
Export CSV, Excel, JSON, or PDF instead of locking data into one destination.
FAQ
Questions about bank statement converter
Which bank statement formats can Parsinto convert?+
Parsinto works with digital PDFs and scanned statement documents. Because the extraction structure is configurable, it is not limited to one bank layout.
Can I convert statements to both Excel and CSV?+
Yes. Review the structured data once, then export it as Excel, CSV, JSON, or PDF.
Does it keep debit and credit columns separate?+
You can define separate debit and credit fields or use a single signed amount column, depending on your desired output.
Can I process several accounts?+
Yes. Process related files in batches and include account identifiers in the output to keep records traceable.
Keep exploring
View all tools Related document workflows
Try bank statement converter with your own document
Create a Box, upload a representative file, review the suggested fields, and see whether the output matches your workflow.
Start extracting free