Stop wasting time manually merging split transaction rows. Learn how LedgPDF auto-fixes BNP Paribas's wrapped text, broken CSV exports, and misaligned columns.
🏦 European Bank • France
If you've ever tried to convert a BNP Paribas 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 BNP Paribas statements is: French SEPA format with structured creditor references, prélèvement (direct debit) mandate numbers on separate lines, IBAN displayed across multiple rows
This happens because BNP Paribas'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 BNP Paribas's exact statement format. Instead of naively extracting each line of text, our system understands the structure of BNP Paribas statements.
Merges SEPA mandate numbers and creditor names, converts French decimal format (comma to point)
Stop manually merging 50+ split rows per statement. Get clean data in seconds.
Try LedgPDF Free →20 free credits • Works with text & scanned PDFs
BNP Paribas 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 BNP Paribas statement with 30-50 transactions, manual cleanup takes 22 minutes per statement. LedgPDF does it automatically.
Yes. Our AI adapts to BNP Paribas'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.