Data

CSV Column Extractor

Details

How to use CSV Column Extractor

What the tool does, how to run it, and what to expect from the result.

How to extract columns from a CSV

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.

  • Paste CSV with a header row
  • Select the columns you want to keep
  • Export the filtered result as CSV or JSON

Why this beats spreadsheet cleanup

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.

Tips

Getting a better result out of CSV Column Extractor

Specific settings and thresholds, not general advice.

  • The columns come out in the order they appear in the header row, not in the order you ticked them. To reorder columns you have to do it after the export.
  • The filtered CSV is written back with the delimiter that was detected in the input, so a semicolon-separated file comes out semicolon-separated rather than being silently converted to commas.
  • The row and column counts appear as soon as you paste, before you run anything, which is the quickest way to check that the delimiter was detected correctly.
  • Cells are trimmed during parsing, so a value with deliberate leading spaces loses them in the export. Values are also all treated as text, with no type detection.
  • Any cell containing a quote, a comma, a newline, a semicolon, a tab or a pipe is re-quoted on the way out, so the exported CSV stays parseable even when the values are messy.
Limits

What CSV Column Extractor does not do

The honest boundary, so you do not lose time finding it yourself.

  • Column selection only. There is no row filter, no search and no condition.
  • Column order follows the original header order and cannot be changed.
  • It cannot rename a column or compute a new one.
  • Newlines inside quoted fields are not supported by the parser.
Reference

Terms used on this page

Short, plain-language definitions for the formats and settings above.

At a glance

Who CSV Column Extractor is for

A quick way to understand who this helps, what it solves, and where it connects next.

Best fit

Operators, analysts, growth teams, and content reviewers reducing CSV datasets fast.

Ideal for

Pulling a smaller subset of CSV columns without opening a spreadsheet or writing a script.

FAQ

Common questions

Short answers for the questions people usually have before trying a utility like this.

Is the CSV column extractor free?

Yes. This CSV column extractor is free to use, with no account or sign-up.

Is my CSV uploaded to a server?

No. The tool processes your CSV entirely in your browser, so the data stays on your device and is never uploaded.

Can I choose multiple columns?

Yes. You can select one or more detected headers before exporting the filtered result.

Does it export JSON too?

Yes. The extracted columns are available as both filtered CSV and JSON.

How does it know my column names?

The tool reads the header row of your pasted CSV and lists those headers so you can pick which columns to keep.

Can I reorder the columns as well as select them?

No. The selected columns are emitted in the order they appear in the source header, regardless of the order you ticked the boxes. If you need a specific column order, export the subset and reorder it in a spreadsheet or an editor afterwards.

What delimiter does the export use?

The same one that was detected in your input. If you pasted a semicolon-separated file, the filtered CSV comes back semicolon-separated. This keeps the export compatible with whatever produced the original, rather than quietly changing the format on you.

Are values kept as numbers?

No. Everything is text. The parser reads cells as strings and the JSON view emits them as strings, so 1200 becomes the string 1200 and true becomes the string true. Cast them at the point where you load the data.

Can I filter rows as well as columns?

Not here. This tool narrows the CSV horizontally, keeping every row and only the columns you chose. To narrow it vertically, extract the column you want to filter on, or use a spreadsheet.

Why do I get both a CSV and a JSON output?

Because the two destinations differ. CSV goes back into a spreadsheet, an import tool or another CSV pipeline. JSON goes into a script, a fixture or an API request body. Both are built from the same extracted rows, so they always agree.

Is my data uploaded?

No. Parsing, selection and export all happen in the page. This is the reason it is safe to run on a customer export or a billing report, which is exactly the kind of file people need to strip columns from.

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