Tide + Pandle: Bridge the Gap
Need to get your Tide Business Banking bank statement into Pandle? Tide uses DD/MM/YYYY and single Amount column with category tags, invoice references, 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 Tide 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. Tide business account statements include invoice references and categories that BankScan AI maps to your bookkeeping codes.
How It Works
Upload your Tide PDF
Drag and drop your Tide statement. Supports PDF, CSV with DD/MM/YYYY handling.
AI converts for Pandle
Our AI parses Tide'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
Tide to Pandle Features
- Tide optimised — Trained on Tide's single Amount column with category tags, invoice references, 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 Tide Data into Pandle
After converting your Tide 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 Tide into Pandle Today
Automatic date conversion (DD/MM/YYYY to DD/MM/YYYY), column mapping, and format validation.
Import Tide to Pandle Free