Starling + Pandle: Bridge the Gap
Need to get your Starling Bank bank statement into Pandle? Starling uses DD/MM/YYYY and single Amount column with +/- signs, merchant categories, 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 Starling 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. Starling Bank statements have a modern layout with merchant categories, which BankScan AI preserves during conversion.
How It Works
Upload your Starling PDF
Drag and drop your Starling statement. Supports PDF, CSV with DD/MM/YYYY handling.
AI converts for Pandle
Our AI parses Starling'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
Starling to Pandle Features
- Starling optimised — Trained on Starling's single Amount column with +/- signs, merchant categories, and running balance with DD/MM/YYYY 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/MM/YYYY to DD/MM/YYYY automatically
Import Starling Data into Pandle
After converting your Starling 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 Starling into Pandle Today
Automatic date conversion (DD/MM/YYYY to DD/MM/YYYY), column mapping, and format validation.
Import Starling to Pandle Free