Columns
Simple spreadsheet fields.
- date
- description
- money_in
- money_out
- balance
Sample CSV
This is a fictional CSV that shows the column structure AI Converter aims to produce from bank statement PDFs. It contains no customer or bank data.
Real exports depend on what can be safely extracted from your PDF.
Columns
Download
Download sample-bank-statement.csv
Real CSV exports depend on the rows that can be safely extracted from the uploaded PDF. Review every export before important use.
Preview
date,description,money_in,money_out,balance
2026-04-02,Stripe payout,8420.12,,62104.09
2026-04-07,Amazon Web Services,,1284.33,60819.76
2026-04-14,Payroll transfer,,14300.00,46519.76
AI Converter is built around a simple rule: inspect the sample before trusting the full export. That matters for bank statements, receipts, invoices, screenshots, and other sensitive files because automated extraction can be wrong when a scan is noisy, a table is unusual, a file is damaged, or a provider cannot safely read the source. The preview gives you an early look at columns, dates, descriptions, totals, signs, and row structure before you pay for the complete result.
For accounting workflows, compare the export with the source statement before importing it into bookkeeping, tax, lending, or compliance systems. Keep the privacy pages close too: source files are handled for the job you start, generated files have a short download window, and support requests should use job IDs rather than pasted bank, receipt, invoice, screenshot, or document contents.
A clean export is only useful when the route matches the file. Choose the most specific output available, keep the original file until you have checked the result, and use the validation notes or row preview to spot missing dates, duplicate transactions, weak OCR, wrong signs, or totals that do not reconcile. If the preview looks off, stop there instead of paying for a full export.