CSV Column Remover
Remove unwanted columns from a CSV file.
Dropping the columns you don't want
Sometimes the cleanest approach to a CSV is removing the columns you do not need rather than picking out the few you do. This removes the columns you choose from a CSV, in your browser, so the data stays on your device.
Load a CSV and choose the columns to remove.
Removing versus extracting, and privacy
Removing columns is the complement to extracting them, and which approach suits depends on the situation: removing a few unwanted columns from a mostly-useful file is quicker than listing all the ones to keep, while extracting suits pulling a few columns from a wide file. Both leave you with a focused dataset. Removing columns is especially useful as a privacy and cleanup step before sharing data — stripping out sensitive fields like personal identifiers, internal notes or confidential figures so that what you pass on contains only what is appropriate. This is a genuinely important practice when data leaves your hands, and doing it in the browser makes it safe: the full file, including the sensitive columns you are removing, is processed locally and never uploaded, so you can strip out confidential fields on your own device with confidence that the original never went anywhere it should not.
Questions & answers
When should I remove columns rather than extract them?
When a file is mostly useful and you just need to drop a few unwanted columns — quicker than listing all the ones to keep, which suits pulling from a wide file.
Is removing columns good for privacy?
Yes — stripping out sensitive fields like personal identifiers or confidential figures before sharing means what you pass on contains only what is appropriate.
Is my data uploaded?
No. The removal happens in your browser, so the data stays on your device.