Developer Tools
CSV Column Extractor
Extract selected columns from pasted CSV, TSV, semicolon, or pipe-delimited rows in your browser.
Extracted columns will appear here.
Your CSV stays in your browser. ClearUtils does not upload or store pasted rows.
What this tool does
This CSV column extractor lets you keep only the columns you need by column number, range, or header name, then copies the result as clean delimited text 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.
How to use it
- Paste CSV or another small delimited table into the input box.
- Choose the delimiter, confirm whether the first row has headers, and enter columns such as 1,3, email,status, or 2-4.
- Review the extracted rows, warnings, and counts, then copy the output for spreadsheets, imports, or documentation.
Example workflow
Paste CSV or delimited rows, format or convert the data, check that headers and columns look right, then copy the clean output for a spreadsheet, import, fixture, or documentation.
Privacy note
Client-side only: pasted CSV is parsed in your browser and is not uploaded or stored.
FAQ
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.
Explore more tools
Browse the Developer Tools hub or continue with the Developer Data Toolkit when this task is part of a larger workflow.