Extract Column
Pull one column out of delimited text, with an optional header row skipped.
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Runs entirely in your browser. Your text never leaves this device and is never stored.
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Input
One row per line.
Counts from 1, not 0.
Result
No text yet.
Paste delimited text above and choose a column.
Extract Column pulls a single column out of pasted delimited text and returns it as one value per line, which is the fastest way to get a list of emails out of an export, a set of IDs out of a log, or the second field out of a pipe-delimited dump. You choose the delimiter, the 1-based column number, and whether the first row is a header to be excluded. The page is explicit about the edges instead of hiding them: splitting is literal, so a delimiter inside quotes still splits the row; a row that is shorter than the requested column produces an empty line and is counted in the result; and if the number exceeds the widest row, the page refuses and tells you how many columns the text actually has rather than returning an empty list. Empty lines in the source are skipped, not turned into blank values. The result reports the row count, the missing-cell count and the header value when one was skipped. Caps are stated at one hundred columns and five thousand rows, and everything runs locally in your browser. The header value is reported separately rather than silently dropped, so a mismatch between the expected and actual column can be spotted before the data is used. Blank cells inside a row are preserved as empty values, which is different from a row that is too short to reach the column. The output is the raw cell text: surrounding spaces inside a cell are not trimmed, because the split is literal and the page does not guess which whitespace was accidental.
How to use Extract Column
- Paste the delimited text and choose the delimiter.
- Set the column number and whether the first row is a header.
- Copy the extracted column or clear to start over.
What you get
- One value per line from the chosen column, with the header excluded if requested.
- The number of data rows read and how many were missing that column.
- The header value that was skipped, or a note that there was none.
When to use Extract Column
- Pull a list of email addresses out of a pasted CSV export.
- Extract the second pipe-delimited field from a batch of log lines.
- Get a clean list of IDs from a table without opening a spreadsheet.
Frequently asked questions about Extract Column
Does it understand quoted CSV values?
No. Splitting is literal, so a comma inside quotes still separates cells. The page states this rather than claiming full CSV parsing.
What happens if my column number is too high?
You get an error naming the number of columns the text actually has, instead of an empty result that looks like a valid extraction.
How is the header handled?
If you tick the header option, the first non-empty row is excluded from the output and its value for that column is reported separately.
Is my text uploaded?
No. Parsing and extraction happen in your browser; nothing is sent to a server or stored.
Guides that compare Extract Column
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