Developer Tools

CSV Column Extractor

Extract selected columns from pasted CSV, TSV, semicolon, or pipe-delimited rows in your browser.

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CSV or delimited rowsCharacters: 0/20,000 (client-side only).Columns to extractUse 1-based column numbers, ranges, or exact header names separated by commas.

Comma CSVParse pasted rows using this delimiter.Tab TSVParse pasted rows using this delimiter.SemicolonParse pasted rows using this delimiter.PipeParse pasted rows using this delimiter.

First row contains headers

Paste CSV, TSV, or delimited rows to extract columns.

Input characters

Output characters

Extracted CSV columns

Extracted columns will appear here.

Your CSV stays in your browser. ClearUtils does not upload or store pasted rows.

Quick answer

CSV Column Extractor is a browser-based csv column extractor for checking copied developer data such as payloads, URLs, encoded values, identifiers, snippets, or logs without sending the input to a server.

Primary task: csv column extractor
Processing: Runs on copied snippets in your browser; no account or saved input.
Workflow: Developer Data Toolkit

What this tool does

This CSV column extractor keeps only the columns you need by number, range, or header name, then hands the result to CSV to List, CSV to TSV, TSV to CSV, or Delimiter Converter without uploading your data.

Common use cases

Keep selected columns from pasted CSV, TSV, or delimited exports before importing, documenting, or transforming tabular data.

Use CSV Column Extractor when you are working with copied API payloads, logs, encoded values, config snippets, identifiers, or debugging data and need a quick browser-local check before pasting the result into docs, tickets, tests, or another developer tool.

Debug a copied sampleUse a sanitized payload, URL, config value, identifier, stylesheet, markup snippet, or log excerpt when you need a fast check before opening a heavier IDE, schema, or API client.

Prepare a handoff noteTurn messy developer data into a clearer example for tickets, documentation, code review comments, test fixtures, or support notes without exposing secrets.

Chain a safe transformationMove to a related formatter, validator, encoder, decoder, converter, or generator only after the current output still needs another compatible developer-data step.

How to use it

Paste CSV or another small delimited table into the input box, then choose the delimiter and whether the first row has headers.
Enter columns such as 1,3, email,status, or 2-4 when you want a quick extract from a spreadsheet export.
Review the extracted rows, warnings, and counts, then copy the output into a list, import, or delimiter workflow.

Example workflow

Paste CSV or delimited rows, format or convert the data, check that headers and columns look right, then move to CSV Column Extractor, Delimiter Converter, CSV to TSV, TSV to CSV, CSV to Plain Text, or JSON Formatter if the workflow needs a different shape.

Privacy note

Client-side only: pasted CSV is parsed in your browser and is not uploaded or stored.

Practical notes for this tool

Best use case

Use CSV Column Extractor when you only need specific fields from a spreadsheet export, vendor feed, log table, or report before cleaning, importing, or converting the rows again.

Keep email and status columns

Example input

name,email,status
Nadir,nadir@example.com,active

Example output

email,status
nadir@example.com,active

Privacy and local processing

Column extraction runs locally in your browser. ClearUtils does not upload or store pasted CSV rows.

Limitations to know

It works best on small pasted tables, not huge files.
Header matching depends on the first row being clean and consistent.
It does not replace spreadsheet formulas or full ETL tools.

Practical FAQ

Should I choose header names or column numbers?

Use header names when the first row is reliable and you want a clearer handoff. Use column numbers or ranges when the source has no headers or the headers are inconsistent.

FAQ

These answers focus on copied-snippet workflows, safe sample data, validation boundaries, and what to check before moving output into code, APIs, docs, or tickets.

4 focused answers for this page

Can I extract columns by header name?

Yes. When the first row contains headers, enter names such as email,status to keep those columns in the same order.

Can I use column numbers or ranges?

Yes. Use 1-based column numbers like 1,3 or ranges like 2-4 when you do not want to rely on header names.

Does this work with TSV or pipe-delimited rows?

Yes. Choose comma, tab, semicolon, or pipe as the delimiter before extracting columns.

Is my CSV uploaded?

No. CSV column extraction runs locally in your browser and does not upload or store pasted rows.

Next steps

Use these routes only when you need a related task or a wider comparison.

Use this tool againReturn to the working panel.Developer Data ToolkitContinue in the same workflow.Developer ToolsBrowse the category hub.Compare similar toolsOpen a filtered directory view.