Convert PDF bank statements to Excel for audit, due diligence and forensic review. Structured transaction data with balance verification. Works with any bank worldwide. 100% free, no signup required.
Bank statements are primary audit evidence for cash and bank balance substantiation, receipt and payment testing, and cash flow analysis. When bank statements arrive as PDFs, auditors face a choice: read them manually line by line, or spend time extracting data into workpapers.
Manual extraction from PDFs is slow and introduces transcription errors — exactly what audit work is supposed to prevent. Our converter eliminates manual extraction. Upload the PDF, download structured Excel data with balance verification, and focus on the substantive audit work.
Bank balance substantiation, receipt testing, payment testing and cash flow analysis from structured transaction data.
Transaction analysis for fraud investigation, round-tripping detection, related-party payment identification and cash flow reconstruction.
Convert large volumes of target company bank statements for financial due diligence, working capital analysis and cash flow review.
Extract bank transaction data for tax audit support, income reconciliation and unexplained credit analysis.
Upload the client's bank statement PDF — any bank, any country, any format
All transactions extracted with balance verification confirming data completeness
Download Excel or CSV for audit workpapers, substantive testing and analysis
Our balance verification step recalculates the running balance from each extracted debit and credit transaction and compares it against the balance column in the original PDF. This verification:
For audit purposes, the balance verification output provides documented evidence that the converted data accurately and completely represents the source bank statement.
Every transaction is extracted with full detail:
For audit documentation, the full Description text is particularly important as it captures the transaction references, payee identifiers and payment method codes needed for transaction tracing and third-party confirmation.
For cross-border audits, M&A due diligence involving international entities and multinational client audits, our converter handles statements from banks in all major jurisdictions:
Output format is consistent across all banks — the same column structure regardless of source institution simplifies consolidation across multi-entity and multi-bank audit engagements.
| Audit Procedure | How Excel Data Helps |
|---|---|
| Cash receipt completeness testing | Sum Credit column and cross-check against revenue ledger totals for the period |
| Payment authorisation testing | Filter large debits (above threshold) and trace each to authorised payment documentation |
| Related-party payment identification | Filter Description for known related-party names, account numbers, or reference codes |
| Round-tripping detection | Identify debits closely followed by credits of similar amounts with related-party indicators |
| Opening and closing balance confirmation | Balance column first row and last row match to bank confirmation letter / positive confirmation |
| Unexplained credit analysis | Filter credits with no standard business description for source investigation |
| Expense cut-off testing | Filter transactions in last 5 business days of the period to identify cut-off items |
The Excel output integrates directly into audit workpapers without reformatting. The standard Date, Description, Debit, Credit, Balance column structure is consistent with workpaper templates used in all major audit methodologies. Auditors can paste the Excel data directly into working papers or reference it as a supporting schedule linked to substantive testing documentation.
For automated workpaper systems (CaseWare, Teammate, ProSystem fx), the CSV output imports directly into data analysis tools within the platform. The consistent column labelling matches standard import mappings used in these systems.
Audit engagements frequently involve older statements that exist only as scanned documents — originals converted to PDF by clients or obtained from banks as historical records. Our OCR converter handles scanned PDFs, extracting data from image-based documents with the same balance verification applied to digital PDFs.
For historical audits and forensic investigations involving statements from years prior, scanned document support ensures coverage across the entire audit period regardless of document vintage. The balance verification step is particularly important for scanned documents, where OCR accuracy must be confirmed before the data is used for audit evidence.
Audit engagements involve confidential client financial data. Our security architecture is designed for professional use cases with strict confidentiality requirements: