Remove Blank Rows and Columns from CSV

Blank rows and empty columns are common in spreadsheet exports. They make imports harder to map, make tables look broken, and can cause formulas or pivot tables to include the wrong range.

Example messy CSV

Order Date,Order ID,Sale Price,
05/08/2026,1001,"$42.50",
,,,
05/09/2026,1002,"$39.00",

The final column is empty for every row, and the middle record is blank. Removing those leaves a cleaner rectangular file with only useful columns and rows.

When to remove blank rows

• Before importing into Excel, Google Sheets, Airtable, or a database.
• Before using filters, pivot tables, or charts.
• Before sending a file to another tool that expects every row to be a record.

When to keep blank rows

If blank rows are meaningful separators in a human report, turn the blank row option off. For data imports, removing them is usually safer.

Private cleanup

The cleaner runs locally in your browser. Paste or upload a CSV, TSV, or text-delimited file, review the preview table, and export a clean CSV.

Review before exporting

Check that removed rows were truly empty and that columns were not hiding important values lower in the file. If a report uses blank columns as visual spacing, keep a copy of the original export before cleanup.