Why extract a column subset
A smaller export can remove irrelevant fields before a handoff, create a focused mailing or inventory view, or make manual review easier. Extraction is selection, not transformation.
Header awareness
When the first row contains headers, those values label the selectable fields and remain in the result. Without headers, the interface uses positional names such as Column 1 while treating every row as data.
Select and verify columns
Load CSV, select its delimiter and header mode, then read the columns. Check only the fields to retain, confirm row and selected-column counts, and inspect the bounded preview before downloading.
Values and source order stay unchanged
Selected columns remain in original order and cell text is not trimmed, typed, or normalized. Irregular rows receive empty missing trailing cells so positions remain predictable.
Privacy and practical limits
Parsing and extraction remain in this browser tab. For files above the documented limits, use a trusted desktop database or command-line workflow capable of streaming large data.
- Keep the source until the destination accepts the subset.
- Confirm sensitive columns are genuinely excluded.
- A preview is not a data-quality guarantee.