Stop wasting time manually merging split transaction rows. Learn how LedgPDF auto-fixes American Express's wrapped text, broken CSV exports, and misaligned columns.
💳 Credit Card • United States
If you've ever tried to convert a American Express 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 American Express statements is: Card member names in separate rows, reward points columns, multi-cardholder statements
This happens because American Express'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 American Express's exact statement format. Instead of naively extracting each line of text, our system understands the structure of American Express statements.
Appends cardmember info to description and removes reward point rows
Stop manually merging 50+ split rows per statement. Get clean data in seconds.
Try LedgPDF Free →20 free credits • Works with text & scanned PDFs
American Express 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 6 pages American Express statement with 30-50 transactions, manual cleanup takes 22 minutes per statement. LedgPDF does it automatically.
Yes. Our AI adapts to American Express'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.