What is "record-oriented LAS data"?

Log ASCII Standard (LAS) data is a well-log text format. In its record-oriented form, every line represents one measured record over a set of channels (for example DEPT, GR, RHOK). This tool converts such record collections into CSV.

What file format does this accept?

The tool reads record-oriented LAS data expressed as a JSON record collection (a GeoJSON FeatureCollection where each feature's properties are the measured channels). GDAL detects it by content, so the filename extension does not matter.

Which columns end up in the CSV?

Each record's channel values become one CSV row; the column names come from the record fields (for example DEPT, GR, RHOK). Geometry is dropped — the result is a pure flat table.

Can I open the result in Excel or Google Sheets?

Yes. The output is a plain UTF-8 CSV file that imports directly into spreadsheets, pandas, R, or any well-log viewer.

Is my data uploaded to a server I have to trust?

The file is processed in an isolated environment with no network access, and only the CSV result is returned.

Convert record-oriented LAS data to CSV online

Need to turn record-oriented well-log LAS data into a spreadsheet-friendly table? This page converts record-oriented LAS data into a clean CSV, so every record becomes a row you can filter, plot, or load into a database.

How to convert LAS data to CSV

Upload your record-oriented LAS data file — a JSON/GeoJSON record collection of measured channels, up to 40 MB.
Press Convert file and download the resulting CSV.

What you get

A CSV file with one row per record: the channel names (DEPT, GR, RHOK, …) become the header, and every record's values become a row. GDAL's CSV writer emits standard quoted CSV, so nothing is reordered or dropped.

When this helps

Moving record-oriented well-log tables into pandas, R, or a spreadsheet for quick analysis
Spot-checking depth-indexed measurements without opening a desktop petrophysics package
Feeding LAS record exports into plotting and QA pipelines as plain CSV

Notes and limits

The input is read with GDAL's vector reader (ogr2ogr -f CSV), which auto-detects JSON record collections by content in any staged filename.
If the file is empty or not readable as vector data, the run fails with GDAL's diagnostic — the converter never invents rows or emits partial output.