Free web tool
Detect and remove CSV columns that are blank across all data rows.
Remove template columns that contain no data at all. A column can have a header and still be removed if every data-row cell is blank.
A column named unused is removed if every data cell below it is blank. Conversely, an empty-looking header is kept if at least one data row contains a value. The tool asks “does this column contain data?”, not “does its title look useful?”
In trim mode, a cell containing only spaces is considered blank. In empty-string mode, those spaces count as content. This matters with exported CSVs that carry invisible padding.
Values such as 0, false, or - keep a column alive. The tool tests emptiness, not whether the value feels meaningful. Removing “all zero” columns would require a different rule.
If a short CSV row does not have a value for a later column, that missing cell behaves as blank. The column is still kept if any other row has a real value there.
The tool removes only the empty columns. It does not reorder what remains, which is useful when downstream processing depends on the original sequence of fields.