Batch BIN processing
Queue multiple measurement runs in one local workflow.
Product concept · early validation
Batch process measurement files, preserve engineering metadata, and flag incomplete data — without repetitive manual exports or custom Python scripts.
Planned for local, offline processing — your measurement files stay on your machine.
01 / THE PROBLEM
Measurement data should move into analysis without a fragile chain of manual exports and one-off scripts.
02 / PLANNED WORKFLOW
A focused catman BIN converter concept for engineers who need repeatable output, not another data platform.
DIFFERENTIATOR / INTEGRITY
A file can sometimes be readable even when part of the measurement data is missing. BIN Bridge is planned to check channel consistency and flag suspicious or incomplete files instead of silently treating them as valid.
03 / SCOPE
These capabilities are planned, not implemented. Early feedback will determine which ones make the first useful release.
Queue multiple measurement runs in one local workflow.
Choose the signals and time domains needed downstream.
Prepare familiar tabular output for analysis tools.
Plan for efficient columnar output at larger scale.
Carry units and engineering context into converted data.
Keep channels aligned with their relevant sample rates.
Flag suspicious channel lengths and possible truncation.
Record what was read, converted, skipped, or flagged.
Planned to open catman BIN files without uploading them.
ENGINEERING CONTEXT
Whether you search for an HBK catman BIN reader, a catman BIN to CSV workflow, or catman BIN to Parquet conversion, the underlying job is the same: preserve the measurement structure while making the data usable elsewhere.
04 / EARLY ACCESS
Tell us how you work with HBK catman BIN files today. Your responses are used only for early-access research and product validation.
Privacy-conscious research
No BIN files are uploaded through this website.