All column indices are 1-based (column 1 is the first column). All processing happens in your browser.
.csv file.CSV column operations are among the most common data preparation tasks: extract just the columns you need, drop personally identifiable columns before sharing, reorder columns to match a target schema, or swap two columns that were accidentally transposed. This tool handles all four operations without spreadsheet software — paste, configure, copy.
When integrating data between systems, you often need to select specific fields from a wide CSV (extract), remove sensitive columns before exporting (delete), reorder columns to match the target import format (reorder), or fix common data errors like swapped date and time columns (swap). This tool accepts any CSV with a header row and handles quoted fields, embedded commas, and multi-line values correctly.
Use the CSV Delimiter Changer to convert to comma-separated first, then paste the result here. Or specify a custom delimiter in the options panel if your CSV uses tabs, pipes, or semicolons.
The parser correctly handles RFC 4180 quoting: fields enclosed in double quotes can contain commas, newlines, and other delimiters. Quotes inside quoted fields are represented as two consecutive double quotes.
Yes — the Reorder operation accepts a full comma-separated list of column names in the desired new order. Any columns not listed are dropped (equivalent to both reordering and filtering).
Select "Tab" as the delimiter in the options panel. The tool then parses as TSV while still applying the same column operations.
See also CSV Delimiter Changer, CSV to JSON, CSV Transposer, and the full data-format toolkit.