Add your .blf files and start the process. The resulting .mf4 files can then be loaded for symbolic analysis. Vector CANoe/CANalyzer
Vector.FormatConverter.exe -i input_file.blf -o output_file.mf4 -f MDF4 Use code with caution. Method 3: Cloud-Native & Fleet Scale Conversion
You can use the asammdf GUI for manual tasks or its API for automated scripts.
The tool can automatically load DBC/ARXML databases used during recording. 2. Python (ASAMMDF Library)
: MATLAB's blfread function allows you to read BLF data directly into timetables, which can then be processed or exported. Comparison of Formats Database Selection for Vector Logging Converter
Keep your DBC file handy, upgrade your Python libraries, and never email a raw BLF to a customer again.
| Feature | BLF | MF4 | |--------|-----|-----| | | Absolute PC time or device time | Relative to measurement start (0.0s) | | Data types | CAN, LIN, FlexRay, Ethernet | Same, plus structured events | | Compression | None (by default) | Supported (zlib, deflate) | | Metadata | Proprietary Vector fields | ASAM standardized |
This is the most common method for manual conversion.
The "new" MF4 conversion failed because the tool tried to use 64-bit addressing but your BLF contained non-standard CAN FD frames. Fix: Force 32-bit mode in the converter: mdf.save(version='4.00') (4.00 is still "newer" than 3.x, but safer). Then use a separate tool to upgrade to 4.10.
An internationally standardized, open industry format managed by ASAM. MF4 supports complex, high-bandwidth time-series parameters, making it natively compatible with MATLAB, Python libraries, and various data-lake infrastructures.
Converting BLF to MF4 remains critical because: