1. Upload a sample
Start with statement pdfs and scans with transaction tables and create a dedicated Box.
Bank statement to CSV
Convert Bank Statement Transactions to Clean CSV Rows
Create a portable transaction file for accounting imports, reconciliation tools, databases, and data pipelines.
No credit card Review before export CSV, Excel, JSON, PDF
Source document Ready
Structured output
Date
Captured value
Description
Captured value
Transaction type
Captured value
Debit
Captured value
Credit
3 rows extracted
Input
statement PDFs and scans with transaction tables
Process
AI extraction, OCR when needed, batch processing, and human review.
Output
UTF-8 CSV rows with consistent headers
How it works
Why CSV structure matters for statement data
CSV is simple and widely supported, but it has no visual layout to hide structural mistakes. Each transaction must be assigned to the right header, descriptions need safe quoting, and dates and amounts should stay consistent across the file.
Parsinto extracts transaction fields into a defined schema before creating the CSV. You can review the rows, correct exceptions, and export a file that is easier to import than a raw PDF conversion.
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.
Date
Description
Transaction type
Debit
Credit
Amount
Balance
Account reference
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 utf-8 csv rows with consistent headers.
Use cases
Built for real document workflows
Keep the extraction step focused, auditable, and easy to hand off.
Accounting imports
Prepare consistent columns for systems that accept statement transactions as CSV.
Database loading
Use a lightweight, machine-readable format for batch ingestion and transformation.
Reconciliation tools
Feed normalized transaction rows into matching and exception-review workflows.
Evaluation checklist
What to check before you scale
Consistent headers across batches
Properly separated transaction rows
OCR support for scans
JSON and Excel also available
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 to CSV
Can I choose the CSV headers?+
Yes. The extraction template defines the field and table column names used in the export.
Does the CSV include statement summary fields?+
You can include both document-level fields and transaction rows. Choose the schema that matches the destination workflow.
Can I convert several statements at once?+
Yes. Batch related statements in a Box and apply one extraction structure across them.
What if my bank uses separate debit and credit columns?+
Define separate fields for debit and credit, or map both into another structure during downstream processing.
Keep exploring
View all tools Related document workflows
Try bank statement to CSV 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