N26 + Pandle: Bridge the Gap
Need to get your N26 (UK) bank statement into Pandle? N26 uses DD/MM/YYYY and European digital bank format with IBAN references, single Amount column with +/- signs, and spending category tags — 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 N26 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. N26 digital bank statements use a modern format with IBAN references and categorised spending. BankScan AI handles the European-style date and amount formatting.
How It Works
Upload your N26 PDF
Drag and drop your N26 statement. Supports PDF, CSV with DD/MM/YYYY handling.
AI converts for Pandle
Our AI parses N26'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
N26 to Pandle Features
- N26 optimised — Trained on N26's European digital bank format with IBAN references, single Amount column with +/- signs, and spending category tags 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 N26 Data into Pandle
After converting your N26 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 N26 into Pandle Today
Automatic date conversion (DD/MM/YYYY to DD/MM/YYYY), column mapping, and format validation.
Import N26 to Pandle Free