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A quick way to understand who this helps, what it solves, and where it connects next.
Operators, analysts, growth teams, and content reviewers reducing CSV datasets fast.
Pulling a smaller subset of CSV columns without opening a spreadsheet or writing a script.
Capture csv-column-extractor intent with a practical column filter page.
Cleanor Labs
These sections explain the job in plain language and set expectations for what the tool should do well.
To extract columns, paste your CSV into the tool, select the headers you want to keep, and export the filtered result as CSV or JSON. Because the extractor runs in your browser, the data never leaves your device and there is no upload step.
You can select a single column or several at once, which makes it fast to pull just the fields you need out of a wide spreadsheet export.
When the only job is to keep a few columns, a narrow browser tool is faster than importing the file into a spreadsheet app, hiding or deleting columns, and re-exporting. You skip the round trip and get exactly the fields you asked for.
It is also tidier for repeatable tasks: paste, pick, export. There is no formula, no manual column deletion, and no risk of an accidental cell edit changing your data.
Short answers for the questions people usually have before trying a utility like this.
Yes. This CSV column extractor is free to use, with no account or sign-up.
No. The tool processes your CSV entirely in your browser, so the data stays on your device and is never uploaded.
Yes. You can select one or more detected headers before exporting the filtered result.
Yes. The extracted columns are available as both filtered CSV and JSON.
The tool reads the header row of your pasted CSV and lists those headers so you can pick which columns to keep.
Every tool on Cleanor is free with no sign-up, no credits, and no limits. Files are processed privately in your browser. Looking for on-device phone cleanup and Premium features? That lives in the Cleanor app.
Paste CSV, pick the header columns you need, and export both a filtered CSV and a matching JSON view locally.