UFF to TXT Converter

UFF to TXT Conversion Explained

Converting .UFF (Universal File Format) to .TXT (Plain Text) changes highly structured engineering data into simple, unstructured text or tabular columns. Originally developed by SDRC, the .UFF format is the standard for storing structural dynamics, modal analysis, and acoustic testing data. While standard .UFF files are already written in ASCII text, they use a rigid, 80-character-per-line FORTRAN-style structure divided into specific "datasets" (such as Dataset 58 for functions or Dataset 15 for nodes).

People convert .UFF to .TXT to extract raw numerical data—like time histories or Frequency Response Functions (FRFs)—from these complex dataset blocks. You gain immediate compatibility with generic spreadsheet software and basic programming scripts. However, you lose critical engineering metadata, including node IDs, measurement directions, engineering units, and geometry definitions. This conversion is a bad idea if you plan to import the data back into dedicated modal analysis software, as the required dataset structure will be destroyed.

Typical Tasks and Users

This conversion is primarily used by engineers and researchers working in NVH (Noise, Vibration, and Harshness) and structural dynamics. Common workflows include:

• Data Plotting: Extracting raw frequency or time data to plot in Microsoft Excel or OriginLab.
• Custom Analysis: Feeding raw numerical arrays into custom Python or MathWorks MATLAB scripts without writing a dedicated .UFF parser.
• Data Sharing: Sending test results to clients or colleagues who do not have expensive computer-aided engineering (CAE) software licenses.

Software & Tool Support

Because .UFF is an industry-specific format, specialized tools are usually required to read and export its contents properly.

• CAE Software: Commercial testing software like Siemens Simcenter Testlab, DewesoftX, and m+p international can natively export .UFF data to tabular .TXT or .CSV.
• Programming Libraries: The open-source pyuff library for Python can parse .UFF files and write the extracted arrays to standard text files.
• Text Editors: Because standard .UFF is ASCII, advanced text editors like Notepad++ or Visual Studio Code can open the files directly. However, they will display the raw FORTRAN-formatted blocks, not clean data columns.

Pros and Cons of the Conversion

Pros:

• Universal Compatibility: .TXT files can be opened by any device, operating system, or basic text editor.
• Easy Parsing: Tabular text is much easier to import into spreadsheets or basic scripts than rigid .UFF dataset blocks.
• Software Independence: Removes the need for specialized structural dynamics software to view the raw numbers.

Cons:

• Total Metadata Loss: You lose the dataset headers that define what the numbers mean (e.g., force vs. acceleration, node locations, X/Y/Z directions).
• Breaks CAE Workflows: A plain .TXT file cannot be imported into modal analysis software like ME'scope without manual reconstruction.
• File Size Inefficiency: Converting binary .UFF (Dataset 58b) to ASCII .TXT significantly increases the file size.

Conversion Difficulties & Why Convert.Guru

The main technical difficulty when you convert .UFF to .TXT is parsing the legacy FORTRAN formatting. A .UFF file contains multiple datasets separated by -1 flags. A converter must identify the correct dataset (usually Dataset 58 for measurement data), skip the header lines containing text and metadata, and extract only the abscissa (X-axis) and ordinate (Y-axis) values. If the file uses binary datasets (Dataset 58b), the converter must also decode the binary stream before writing the text output.

Convert.Guru handles this exact pipeline automatically. It identifies standard .UFF measurement datasets, strips away the complex 80-character formatting, and extracts the raw numerical arrays into clean, tabular .TXT files. This provides a fast, accurate extraction without requiring users to write custom Python parsers or purchase expensive CAE software licenses.

UFF vs. TXT: What is the better choice?

Which format should you choose?

You should keep your files in .UFF if you are actively working in structural dynamics, performing modal analysis, or transferring data between different CAE testing systems. The metadata inside the .UFF file is critical for these tasks.

You should convert .UFF to .TXT only when you need to extract the raw data points for simple plotting, reporting, or sharing with non-engineers. If you are doing this, consider converting to .CSV (Comma-Separated Values) instead of plain .TXT, as it provides better column separation for spreadsheet software.

Conclusion

Converting .UFF to .TXT is a practical way to liberate raw measurement data from a highly specialized, legacy engineering format. While it makes the numbers accessible to generic software like Excel, the complete loss of engineering metadata means this conversion should only be used for final reporting or simple plotting, never for archiving test data. Convert.Guru provides a reliable, automated way to convert .UFF to .TXT, accurately parsing complex dataset blocks into clean data columns without the need for specialized structural analysis software.