Stop wasting time manually merging split transaction rows. Learn how LedgPDF auto-fixes MUFG Bank's wrapped text, broken CSV exports, and misaligned columns.
🏦 Asian Bank • Japan
If you've ever tried to convert a MUFG 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 MUFG Bank statements is: Japanese banking format with furikomi (bank transfer) reference numbers on separate lines, furikae (account transfer) descriptions, Japanese Yen large number formatting
This happens because MUFG 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 MUFG Bank's exact statement format. Instead of naively extracting each line of text, our system understands the structure of MUFG Bank statements.
Merges furikomi sender names and reference numbers, handles Japanese date format (YYYY/MM/DD) and Yen comma formatting
Stop manually merging 50+ split rows per statement. Get clean data in seconds.
Try LedgPDF Free →20 free credits • Works with text & scanned PDFs
MUFG 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 MUFG Bank statement with 30-50 transactions, manual cleanup takes 25 minutes per statement. LedgPDF does it automatically.
Yes. Our AI adapts to MUFG 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.