OCR + Structuring

Use OCR to turn statement PDFs into structured transaction data

Extract bank statement text with OCR and convert it into normalized transaction records for analytics, accounting, and operations. Upload a statement on this page and test the workflow directly instead of bouncing back to the homepage.

Guest mode supports one-page PDFs so you can validate the output before signing up.Sign in for multi-page uploads and 24-hour history.

Output previews appear below as read-only CSV, Excel, and JSON views.

Processing status

Waiting for a file

What happens next

  • 1. Statement is parsed and verified.
  • 2. CSV, Excel, and JSON exports are generated.
  • 3. A preview is shown below before download.

Why Parse My Statement fits ocr + structuring workflows

Built for teams that need a practical statement conversion flow, not a static content page.

From unstructured text to usable records

OCR handles scanned files while the parser organizes dates, descriptions, and amounts into predictable transaction fields.

Useful for legacy PDF statements

Older or image-based statements can still be transformed into structured formats for modern finance workflows.

Foundation for automation

Reliable extraction enables downstream validation, categorization, and reconciliation logic.

Customer proof

What users say about use ocr to turn statement pdfs into structured transaction data and related workflows.

Faster assignment submissions

ParseMyStatement helped me clean messy bank statement exports in minutes. I upload a PDF, review transactions, and submit accounting sheets without manual cleanup.

Vedant Oza

Master's Student, University of Southern California

Rated 5/5

Reliable formatting every run

The output structure is consistent across statements, which makes downstream analysis much easier. It has saved me significant time on repetitive reconciliation work.

Yash Shimpi

Data Scientist @ Amex, IIT BHU

Rated 5/5

Useful for recurring finance workflows

I use ParseMyStatement to convert statements to clean rows before monthly reviews. The preview step catches issues early and reduces rework.

Viraj Shah

Analyst @ ICICI Bank, MBA

Rated 5/5

Simple and production-friendly

I needed quick statement parsing without building a custom pipeline for my personal finance. ParseMyStatement gave me structured exports with minimal setup.

Venkatesh BR

Product Designer @ Blinkit

Rated 5/5

Pricing

Use guest mode for a quick test or upgrade when statement conversion becomes a recurring workflow.

Free

$0

Try the product before paying.

  • Guest mode: 1-page uploads only
  • Strict rate limiting
  • No saved history
Choose plan

Pro 400

$15 / month

For consistent monthly workflows.

  • Up to 400 pages per month
  • Saved conversion history
  • Fast CSV, Excel, and JSON exports
Choose plan

Scale 1000

$30 / month

For high-volume production usage.

  • Up to 1000 pages per month
  • Higher monthly capacity
  • Priority conversion throughput
Choose plan

OCR + Structuring FAQs

Use OCR to turn statement PDFs into structured transaction data and export details.
Does this work with scanned documents?

Yes. OCR is used to extract content from scanned statement PDFs.

What formats can I export?

CSV, Excel, and JSON export formats are available.

Can I verify extracted rows?

Yes. You can preview extracted transaction data before downloading.

How teams use ocr + structuring workflows

Common workflows where statement ocr to structured data matters more than generic document extraction.

Convert recurring monthly statements without rebuilding columns or cleaning dates by hand.

Review extracted rows before export, then hand structured files to bookkeeping, finance, or ops teams.

Keep a repeatable workflow for statement ingestion when different banks or clients send different PDF layouts.

Export the same source statement into CSV, Excel, and JSON depending on the downstream tool or stakeholder.

Why this workflow works

Extract bank statement text with OCR and convert it into normalized transaction records for analytics, accounting, and operations.

From unstructured text to usable records

OCR handles scanned files while the parser organizes dates, descriptions, and amounts into predictable transaction fields.

Useful for legacy PDF statements

Older or image-based statements can still be transformed into structured formats for modern finance workflows.

Foundation for automation

Reliable extraction enables downstream validation, categorization, and reconciliation logic.

How to implement statement ocr to structured data

Step 1

Upload a bank statement PDF directly on this page.

Step 2

Review the extracted preview to confirm dates, descriptions, and amount polarity.

Step 3

Download CSV, Excel, or JSON based on your downstream workflow.

Step 4

Use an account for multi-page statements, saved history, and 24-hour re-downloads.

Try use ocr to turn statement pdfs into structured transaction data

Upload a real statement on this page and export clean CSV, Excel, or JSON output for your statement ocr to structured data workflow.

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