Convert TXT to OFX

A bank, budgeting application, or accounting system may require OFX when a transaction statement is available only as a TXT download. Conversion is possible only if the text contains structured transaction data, not merely readable prose.

What the TXT format is

TXT is a plain-text container with no required layout or financial schema. Banks and legacy systems commonly use the .txt extension for tab-delimited, comma-delimited, semicolon-delimited, fixed-width, or human-readable statement exports.

Notepad, LibreOffice Calc, Microsoft Excel, banking portals, and accounting systems can create or open TXT files. Inspect the file in a plain-text editor before importing it: identify the delimiter, header rows, encoding, date format, decimal separator, thousands separator, and debit/credit convention. A file that looks like a table may still be delimited text, while a fixed-width file requires column positions rather than a separator.

What the OFX format is

OFX, or Open Financial Exchange, is a structured format for bank, credit-card, investment, and payment transactions. Finance applications such as GnuCash, Moneydance, Quicken-compatible programs, and some business accounting systems can import OFX files.

An OFX transaction generally contains a unique FITID, posting date, amount, transaction type, payee or memo, and account information. A statement can also contain currency, opening and closing balances, institution identifiers, and date-range metadata. This structure lets an importer create transactions instead of displaying an unstructured statement.

OFX 1.x uses an SGML-based syntax, while OFX 2.x uses XML. The target application determines which version, account type, currency fields, and transaction elements it accepts; an OFX file is not automatically compatible with every finance program.

How to convert TXT to OFX

1. Check that the source is convertible. Each transaction should have at least a posting date, amount, and usable description. Account number, currency, balance, and transaction IDs improve compatibility but may be absent from the TXT export.
2. Normalize delimited text. In LibreOffice Calc, use File → Open, choose the correct character encoding and separator, and inspect the column preview. Map the fields to date, description, debit, credit, and balance. Preserve leading zeros in account numbers and transaction references; spreadsheet software can otherwise convert them to numbers.
3. Clean the values. Remove currency symbols and thousands separators from numeric fields, use one decimal convention, and convert dates to an unambiguous format such as YYYY-MM-DD. Combine debit and credit columns into the sign convention expected by the converter, normally negative withdrawals and positive deposits. Save the cleaned table as transactions.csv with File → Save As.
4. Use a desktop converter. ProperSoft CSV2OFX is designed for structured CSV-to-OFX conversion and is a suitable local option after TXT has been normalized. Select transactions.csv, map the date, payee, memo, debit, credit, account, and currency fields, choose the OFX version supported by the destination application, enter available account metadata, and export account.ofx. Do not invent a bank or branch identifier; leave optional values blank when the software allows it.
5. Use an online converter only for acceptable data. ProperSoft's online CSV-to-OFX converter can be used for a cleaned CSV when local processing is unavailable. Convert the TXT file to CSV first because generic online TXT converters cannot infer financial fields reliably. Bank statements contain sensitive information, so review the service's privacy, retention, deletion, HTTPS, and supported-OFX-version policies; test with redacted data when possible.
6. Validate before importing. Open the result in a plain-text editor and check the transaction count, dates, amounts, descriptions, currency, account type, and unique IDs. Import it into a duplicate or test account, compare the opening and closing balances with the source statement, and remove the test data before using the live register.

When automation is needed

A fixed-width or inconsistent TXT file may require a script rather than a spreadsheet. Python's csv module handles delimited input; fixed-width input requires explicitly defined column ranges. The generator must create unique, stable FITID values, format OFX dates as YYYYMMDDHHMMSS with the required timezone syntax, apply debit and credit signs consistently, and escape characters according to the selected SGML or XML version. Use a validated OFX library or template instead of constructing tags without checking the target application's requirements.

Compatibility and data limitations

Conversion does not recreate information that the TXT file never contained. Missing institution IDs, account type, currency, original transaction IDs, balances, or server timestamps can cause rejection, incorrect account matching, or duplicate transactions. Generated IDs also differ from the bank's IDs, so importing the same period again may create duplicates.

Check negative withdrawals and positive deposits against the destination application's convention; some programs reverse signs during import. Verify decimal precision, date order, duplicate transactions, character encoding, and transactions that cross midnight or a daylight-saving change. If the TXT file contains only a formatted statement or image-like text, it must first be parsed or transcribed, and the result requires manual reconciliation.