1. Upload a sample
Start with bank statement pdfs from customers, clients, or internal accounts and create a dedicated Box.
Bank statement analysis workflow
Prepare Bank Statement Data for Analysis Without Manual Entry
Parsinto structures statement transactions for review and export, giving analysts a cleaner starting point for reconciliation, cash-flow review, or categorization.
No credit card Review before export CSV, Excel, JSON, PDF
Source document Ready
Structured output
Statement period
Captured value
Opening balance
Captured value
Closing balance
Captured value
Transaction date
Captured value
Description
3 rows extracted
Input
bank statement PDFs from customers, clients, or internal accounts
Process
AI extraction, OCR when needed, batch processing, and human review.
Output
normalized transaction data ready for an analysis tool
How it works
Extraction comes before reliable analysis
Analysis is only as dependable as the transaction data behind it. When dates, descriptions, amounts, and balances are manually copied from PDFs, inconsistent columns and keying mistakes can distort formulas and summaries.
Parsinto focuses on the document-data step: extracting statement fields and transaction rows, letting a reviewer check them, and exporting a consistent dataset. Teams can then analyze that dataset in Excel, a database, or their preferred financial application. Parsinto does not provide financial advice or make lending decisions.
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
Opening balance
Closing balance
Transaction date
Description
Amount
Debit or credit
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 normalized transaction data ready for an analysis tool.
Use cases
Built for real document workflows
Keep the extraction step focused, auditable, and easy to hand off.
Cash-flow preparation
Create a clean transaction table before building inflow and outflow summaries.
Client accounting
Standardize statement data across institutions before categorization or reconciliation.
Operational review
Reduce document entry time while keeping analysis and decisions in your existing tools.
Evaluation checklist
What to check before you scale
Structures source data rather than making financial judgments
Preserves statement and transaction fields
Supports reviewer corrections
Exports to common analysis formats
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 analysis software
Does Parsinto analyze spending or make financial decisions?+
No. Parsinto extracts and structures statement data. You perform analysis, categorization, scoring, or decision-making in the appropriate downstream tool.
Which fields are useful for statement analysis?+
Dates, descriptions, amounts, debit or credit indicators, balances, statement periods, and account references are common inputs.
Can I analyze the result in Excel?+
Yes. Export the reviewed transaction data as XLSX or CSV and use your own formulas, pivots, or models.
Can it prepare data from several banks?+
Yes. Use a consistent extraction structure to normalize statements from different layouts before analysis.
Keep exploring
View all tools Related document workflows
Try bank statement analysis software 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