Stop wasting time manually merging split transaction rows. Learn how LedgPDF auto-fixes State Bank of India's wrapped text, broken CSV exports, and misaligned columns.
🏦 Indian Bank • India
If you've ever tried to convert a State Bank of India 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 State Bank of India statements is: UPI transaction IDs wrapping, NEFT/RTGS references on separate lines, INR comma formatting
This happens because State Bank of India'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 State Bank of India's exact statement format. Instead of naively extracting each line of text, our system understands the structure of State Bank of India statements.
Merges UPI reference numbers and merchant names into single clean transaction row
Stop manually merging 50+ split rows per statement. Get clean data in seconds.
Try LedgPDF Free →20 free credits • Works with text & scanned PDFs
State Bank of India 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 State Bank of India statement with 30-50 transactions, manual cleanup takes 22 minutes per statement. LedgPDF does it automatically.
Yes. Our AI adapts to State Bank of India'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.