Stop wasting time manually merging split transaction rows. Learn how LedgPDF auto-fixes National Australia Bank's wrapped text, broken CSV exports, and misaligned columns.
🏦 Australian Bank • Australia
If you've ever tried to convert a National Australia Bank bank statement PDF to Excel using a free online converter, you know the frustration. The converted spreadsheet looks nothing like the original PDF. Rows are split, descriptions are scattered across multiple cells, and the data is unusable for accounting.
The specific issue with National Australia Bank statements is: NAB Internet Banking with BPAY biller codes on separate lines, NAB Rewards points display, international transaction fees as separate rows
This happens because National Australia Bank's PDF format uses variable-length description fields that can wrap across multiple lines. Generic PDF converters treat each line as a separate row, completely breaking the transaction structure.
Notice how the description is split across multiple rows and the running balance is mixed in.
All data is in a single row with the complete description merged together.
LedgPDF uses a specialized AI engine trained on National Australia Bank's exact statement format. Instead of naively extracting each line of text, our system understands the structure of National Australia Bank statements.
Merges BPAY biller codes and reference numbers into description, consolidates international transaction fees
Stop manually merging 50+ split rows per statement. Get clean data in seconds.
Try LedgPDF Free →20 free credits • Works with text & scanned PDFs
National Australia Bank statements use variable-length description fields that can span multiple lines. Generic converters don't understand the table structure and treat every line as a separate row.
Yes, but it's tedious. For a typical 5 pages National Australia Bank statement with 30-50 transactions, manual cleanup takes 18 minutes per statement. LedgPDF does it automatically.
Yes. Our AI adapts to National Australia Bank's statement format regardless of when it was generated. It works with statements from any year.
LedgPDF handles scanned PDFs too. Scanned pages cost 2 credits instead of 1 due to OCR processing, and take about 10-15 seconds per page.