Lloyds + Pandle: Bridge the Gap
Need to get your Lloyds Banking Group bank statement into Pandle? Lloyds uses DD MMM YY and single Payment/Receipt column with type indicators and running balance — which needs converting to CSV / QIF (Date, Description, Money In, Money Out — Pandle requires separate columns for credits and debits) for Pandle import.
How BankScan AI Converts Lloyds for Pandle
BankScan AI's CSV output imports directly into Pandle's bank statement upload feature. Perfect for sole traders who receive statements from clients or banks without direct feeds. Lloyds PDF statements use a consistent column layout, but multi-page statements sometimes split transactions across page breaks.
How It Works
Upload your Lloyds PDF
Drag and drop your Lloyds statement. Supports PDF with DD MMM YY handling.
AI converts for Pandle
Our AI parses Lloyds's layout, converts dates to DD/MM/YYYY, and outputs CSV / QIF.
Import into Pandle
In Pandle, go to Banking > select your account > Import Transactions. Upload the CSV or QIF file from BankScan AI. Pandle auto-maps standard column formats.
Pandle Import Tip
Date, Description, Money In, Money Out — Pandle requires separate columns for credits and debits
Lloyds to Pandle Features
- Lloyds optimised — Trained on Lloyds's single Payment/Receipt column with type indicators and running balance with DD MMM YY parsing
- Pandle formatted — Output as CSV / QIF with Date, Description, Money In, Money Out — Pandle requires separate columns for credits and debits
- Date conversion — Converts DD MMM YY to DD/MM/YYYY automatically
Import Lloyds Data into Pandle
After converting your Lloyds statement with BankScan AI:
- In Pandle, go to Banking > select your account > Import Transactions
- Upload the CSV or QIF file from BankScan AI
- Pandle auto-maps standard column formats
Common Import Issues
Pandle's free tier limits bank feed connections — manual CSV import via BankScan AI is the workaround for banks without direct Pandle feeds.
Import Lloyds into Pandle Today
Automatic date conversion (DD MMM YY to DD/MM/YYYY), column mapping, and format validation.
Import Lloyds to Pandle Free