Tide Statement to OFX for Solicitors

Convert Tide PDFs (DD/MM/YYYY) to OFX for solicitors. Direct import into QuickBooks Desktop, Microsoft Money, GnuCash, and other personal finance applications that accept OFX bank feeds

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

Tide → OFX for Solicitors

As solicitor, you need Tide bank statements in OFX 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 OFX

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

3

Use in your solicitors work

Download and use with Clio, LEAP Legal Software. Convert client and third-party bank statements to searchable, sortable Excel spreadsheets for faster case analysis and evidence preparation.

Tide + OFX + Solicitors

Tide to OFX — For Solicitors

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

Convert Tide to OFX Free

Frequently Asked Questions

Can I convert Tide to OFX?
Yes. BankScan AI converts Tide PDFs to OFX with DD/MM/YYYY and all transaction details preserved. BankScan AI generates OFX 2.2 compliant files with proper BANKACCTFROM headers, STMTTRN transaction records, and FITID unique identifiers for each transaction to prevent duplicates on re-import.
Is OFX right for solicitors?
Direct import into QuickBooks Desktop, Microsoft Money, GnuCash, and other personal finance applications that accept OFX bank feeds Solicitors particularly benefit from Accounting software treats OFX imports like a native bank feed — transactions appear in the bank reconciliation screen ready for matching, rather than requiring manual column mapping..
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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