Delete Empty CSV Columns

Delete Empty CSV Columns instantly in your browser. Remove blank or whitespace-only columns with live preview, trimming, and export options.

Paste your input above or import a file below.
No file chosen
Supported file types: .txt, .csv, .log
Total characters: 0
Options
Trim fields
Ignore header row
Remove whitespace-only columns

How to Use:

  • Paste your CSV data into the CSV Input box or click Choose File to upload a .csv, .txt, or .log file.
  • The tool scans each column and removes ones that are completely empty or match your cleanup rules.
  • Use the Options box to adjust how empty columns are identified:
    • Trim fields: Removes spaces before checking if a field is empty.
    • Ignore header row: Keeps the first row untouched when analyzing column emptiness.
    • Remove whitespace-only columns: Deletes columns with cells that contain only spaces or tabs.
  • The cleaned output appears live in the Cleaned Output box as you type or toggle settings.
  • View the Total characters count under the output to track the size of your result.
  • Click Copy Output to copy the cleaned CSV to your clipboard.
  • Use Export to File to download the result as a .csv file.
  • Click Clear All to reset input, output, toggles, and file name.

What Delete Empty CSV Columns can do:

This tool strips out columns in your CSV that don’t contain useful data. It’s useful for cleaning exported spreadsheets, removing placeholder columns, or prepping data for import into systems that reject empty fields. You can choose whether to trim spacing, ignore headers, or be strict about what “empty” means. Everything runs in your browser and updates instantly.

Example:

Input:

name,age,city,empty
Alice,30,New York,
Bob,25,Los Angeles,
Charlie,22,Chicago,

Output:

name,age,city
Alice,30,New York
Bob,25,Los Angeles
Charlie,22,Chicago

Common Use Cases:

Perfect for cleaning up CSVs before sharing with teammates, importing into a database, or sending to clients. It removes clutter and helps you avoid errors from systems that expect clean, populated fields.

Useful Tools & Suggestions:

Run Analyze CSV first to check which columns are actually empty across all rows. And after deleting them, use Count CSV Columns to confirm your structure is still solid.

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