Delete Empty CSV Values

Delete Empty CSV Values with ease. Instantly strip blank cells from your CSV rows, optionally collapse columns, and preview changes live in your browser.

Paste your input above or import a file below.
No file chosen
Supported file types: .csv, .txt
Total characters: 0
Options
Collapse rows (remove empty columns)
Trim values before checking
Maximize output

How to Use:

  • Paste your CSV into the Input CSV box or import a .csv or .txt file using Choose File
  • Enable Trim values before checking to remove surrounding whitespace before evaluating if a field is empty
  • Toggle Collapse rows to remove empty cells entirely, shortening each row
  • Use Maximize output to expand the output area for reviewing larger results
  • Click Clean to process the data the output updates live and flashes on change
  • Use Copy Output to copy the cleaned CSV or Export to File to save it
  • Hit Clear All to reset all fields and toggle states

What Delete Empty CSV Values can do:

Delete Empty CSV Values gives you a quick way to clean up messy spreadsheets and exports where empty values clutter the data. It strips out any blank cells and optionally collapses the rows to contain only non-empty fields. If you just want to clear the empties but keep the structure, leave row collapsing off. It trims each value if needed and works entirely in your browser, no uploads or installs. Useful for prepping files for import, analysis, or simply tidying up before sharing.

Example:

Input:

name,age,city
Alice,30,London
Bob,,Paris
Charlie,35,
,40,Berlin
David,,
,,,

Output (collapse ON, trim ON):

name,age,city
Alice,30,London
Bob,Paris
Charlie,35
40,Berlin
David

Output (collapse OFF, trim ON):

name,age,city
Alice,30,London
Bob,,Paris
Charlie,35,
,40,Berlin
David,,

Common Use Cases:

Whether you’re importing a dataset, cleaning up form responses, or preparing files for analysis, this tool helps you remove unnecessary blanks in a click. Collapsing rows makes the output more compact, while keeping structure helps maintain column consistency. It’s perfect for developers, analysts, or anyone wrangling exported CSVs from inconsistent sources.

Useful Tools & Suggestions:

Try Find Incomplete CSV Records first to spot where blanks are hiding. Then after deleting the empties, Fill Incomplete CSV Records can help patch up anything that’s missing but still needed.

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