1. Upload a sample
Start with bank statement pdfs from different institutions and create a dedicated Box.
Bank statement to Excel
Convert Bank Statement PDFs Into Editable Excel Transactions
Turn statement tables into workbook-ready rows for reconciliation, categorization, and financial review.
No credit card Review before export CSV, Excel, JSON, PDF
Source document Ready
Structured output
Posting date
Captured value
Transaction date
Captured value
Description
Captured value
Reference
Captured value
Debit
3 rows extracted
Input
bank statement PDFs from different institutions
Process
AI extraction, OCR when needed, batch processing, and human review.
Output
XLSX workbooks with transaction and statement fields
How it works
A cleaner bank-statement-to-Excel process
Manual statement entry is slow because every transaction row needs several values copied accurately. Direct PDF conversion can also merge descriptions, place balances in the wrong column, or repeat page headers inside the data.
Parsinto extracts a defined transaction schema, keeps statement-level information separate, and exports the reviewed rows into Excel. The workbook is then ready for formulas, filters, reconciliation, or a controlled import into another system.
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.
Posting date
Transaction date
Description
Reference
Debit
Credit
Balance
Currency
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 xlsx workbooks with transaction and statement fields.
Use cases
Built for real document workflows
Keep the extraction step focused, auditable, and easy to hand off.
Monthly reconciliation
Use clean transaction rows to compare statement activity with accounting records.
Client bookkeeping
Standardize statements from different banks into a consistent Excel structure.
Audit preparation
Prepare sortable transaction data while preserving a link to the source statement.
Evaluation checklist
What to check before you scale
Custom Excel column names
OCR for scanned statements
Batch conversion
Review before download
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 Excel
How do I convert a PDF bank statement to Excel?+
Upload the statement, confirm the transaction columns and document fields, process the file, review the output, and export XLSX.
Can Parsinto handle different bank layouts?+
Yes. AI extraction locates semantically similar fields across layouts, and you can adjust the template for your statement set.
Will descriptions stay in one column?+
The transaction schema includes a dedicated description column, helping prevent neighboring amounts or balances from being mixed into the text.
Can scanned statements be exported to Excel?+
Yes. OCR reads the page image before transactions are mapped into the defined columns.
Keep exploring
View all tools Related document workflows
Try bank statement to Excel 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