Delete CSV Comments

Delete CSV Comments removes comment lines like # or // from your CSV files. Clean your data quickly and export it instantly, all in the browser.

Paste your input above or import a file below.
No file chosen
Supported file types: .txt, .csv, .tsv, .log, .json, .xml, .md, .ini, .yaml, .yml, .html, .htm, .css
Total characters: 0
Options
Remove # comments
Remove // comments
Preserve blank lines

How to Use:

  • Paste your CSV into the input box or load a file using the Choose File button.
  • The tool scans for lines that begin with common comment markers and removes them.
  • In the Options section, toggle:
    • Remove # comments to delete lines that start with #.
    • Remove // comments to delete lines that start with //.
    • Preserve blank lines if you want to keep empty lines between rows.
  • Any time you make a change or adjust a setting, the cleaned output updates instantly and flashes blue.
  • Use Copy Output to copy the cleaned CSV to your clipboard.
  • Click Export to File to save the cleaned version as a .csv file.
  • Hit Clear All to reset everything including file input, output, toggles, and character counter.
  • Below the output, the Total characters count updates as you clean the data.

What Delete CSV Comments can do:

Delete CSV Comments helps clean up messy or auto-documented CSVs by removing unwanted comment lines that can break imports or data parsing. Whether the comments were added manually or generated by scripts, this tool strips them cleanly and leaves just the usable content. You decide what’s considered a comment and whether to keep blank lines for readability. All changes happen right in the browser, with no uploads or risk.

Example:

Before:

# metadata: exported from system
name,age,city
Alice,30,New York
// test user
Bob,25,Los Angeles

Charlie,28,Chicago

After:

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

Charlie,28,Chicago

Common Use Cases:

Delete CSV Comments is perfect when you’re working with CSV files that include inline documentation or metadata. Use it to prep data for import, strip out debug lines, or clean logs before analysis all without needing Excel or code.

Useful Tools & Suggestions:

Before deleting, run Filter CSV Cells to isolate rows starting with a comment marker like #. And after cleanup, Validate CSV helps ensure the file’s still structurally sound.

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