Tide Statement to Excel for Landlords

Convert Tide PDFs (DD/MM/YYYY) to Excel for landlords. Accountants doing manual analysis, auditors sampling transactions, and anyone who needs to manipulate data with formulas or charts

Convert Tide to Excel Free
99%+Accuracy
30sPer Statement
40+Banks Supported
FreeTier Available

Tide → Excel for Landlords

As landlord, you need Tide bank statements in Excel format. Tide business account statements include invoice references and categories that BankScan AI maps to your bookkeeping codes. BankScan AI handles the conversion — DD/MM/YYYY, single Amount column with category tags, invoice references, and running balance, and all.

How It Works

1

Upload Tide PDF

Drop your Tide statement PDF. Supports PDF, CSV.

2

AI converts to Excel

Parses Tide's DD/MM/YYYY, extracts all transactions, outputs Excel (.xlsx).

3

Use in your landlords work

Download and use with Excel, Hammock. Convert your bank statements to Excel to easily categorise rental income, maintenance costs, and mortgage payments for self-assessment.

Tide + Excel + Landlords

Tide to Excel — For Landlords

Handles DD/MM/YYYY, outputs perfect Excel. Free tier available.

Convert Tide to Excel Free

Frequently Asked Questions

Can I convert Tide to Excel?
Yes. BankScan AI converts Tide PDFs to Excel with DD/MM/YYYY and all transaction details preserved. BankScan AI outputs .xlsx files with formatted headers, auto-sized columns, date cells (not text), and numeric amounts — so SUM, VLOOKUP, and pivot tables work immediately without reformatting.
Is Excel right for landlords?
Accountants doing manual analysis, auditors sampling transactions, and anyone who needs to manipulate data with formulas or charts Landlords particularly benefit from Supports multiple sheets per workbook, conditional formatting for flagging large transactions, and embedded formulas for running balance verification..
How accurate is the conversion?
BankScan AI achieves 99%+ accuracy on Tide statements, handling Automated invoice matching creates linked transaction references that add extra text to descriptions, expense category tags can fragment the description column, and multi-company account statements from the same login need to be separated automatically.

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