DF to TXT Converter

DF to TXT Conversion Explained

Converting a DataFlex database (often represented by the .DF schema file) to a plain text file (.TXT) involves extracting database records or table definitions into a flat, human-readable format. Users perform this conversion to migrate legacy data to modern SQL databases, analyze records in external tools, or document database structures.

When you convert .DF to .TXT, you gain universal compatibility and freedom from proprietary runtime environments. However, you lose the relational database structure, data types, and the fast search capabilities provided by DataFlex index files. The main trade-off is sacrificing database functionality for raw data accessibility. If you need to maintain relational links or application logic, converting to a flat text file is a bad idea.

Typical Tasks and Users

• Legacy System Administrators: Migrating old DataFlex ERP or CRM systems to modern SQL databases by dumping tables to delimited .TXT or CSV files.
• Data Analysts: Extracting specific records from a DataFlex system to process in Python, R, or Excel without needing a DataFlex license.
• Database Developers: Converting the .DF (Data Definition) file into a standard text document to review table structures, field lengths, and index definitions before a system migration.

Software & Tool Support

• DataFlex Studio: The official development environment by Data Access Worldwide can read .DF files and export database contents.
• DFQuery: A legacy DataFlex utility used to query tables and export the results to text formats.
• Convert.Guru: A web-based conversion tool that simplifies the extraction of DataFlex data and schema into standard text formats.
• Text Editors: Tools like Notepad++ or Visual Studio Code can open .DF files directly, as the schema definition itself is stored in plain text.

Pros and Cons of the Conversion

Pros:

• Compatibility: .TXT files can be opened by almost any software, script, or database import tool.
• Transparency: Raw data is fully visible without requiring a DataFlex runtime license or ODBC driver.
• Archiving: Plain text is the safest and most stable format for long-term data preservation.

Cons:

• Loss of Structure: Relational links between tables are flattened and lost.
• Encoding Issues: Older DataFlex databases often use OEM character encoding. Converting to .TXT without proper transcoding to UTF-8 will result in garbled characters.
• No Indexing: The fast search capabilities provided by DataFlex index files (.K files) are completely discarded.
• Data Type Loss: Numbers, dates, and strings all become plain text, requiring re-parsing in the target system.

Conversion Difficulties & Why Convert.Guru

The main technical problem to convert df to txt is handling character encoding and schema mapping. A DataFlex database is split across multiple files: .DAT for data, .TAG for column names, and .DF for the schema. Exporting this data requires reading the .DF dictionary to understand the binary structure of the .DAT file. Furthermore, legacy DataFlex systems typically use OEM character sets. If this data is blindly extracted to a modern UTF-8 .TXT file, special characters and accents will be corrupted.

Convert.Guru handles this pipeline automatically. It reads the .DF schema, maps it to the corresponding data files, correctly transcodes OEM encoding to UTF-8, and outputs a clean, delimited .TXT file. This eliminates the need to write custom DataFlex export scripts or purchase expensive ODBC drivers.

DF vs. TXT: What is the better choice?

Which format should you choose?

Keep your data in the DataFlex format if you are actively running an application that relies on the DataFlex database engine, its specific indexes, and its business rules. Choose .TXT if you are migrating away from DataFlex, archiving legacy data, or need to feed the data into a modern SQL database, Python script, or business intelligence tool. Avoid .TXT if you need to preserve complex relational hierarchies; in that case, migrating directly to a relational SQL format is a better choice.

Conclusion

Converting DataFlex databases to .TXT is an essential step for legacy system migration and data archiving. While you lose the relational structure and indexing of the original database, you gain universal compatibility and future-proof access to your raw data. Because legacy OEM encoding and multi-file schema mapping can make manual extraction difficult, using a dedicated tool like Convert.Guru ensures your .DF to .TXT conversion is accurate, properly encoded, and ready for modern systems.