Cut CSV

Cut CSV lets you trim your CSV data by column index or character length with live preview and export options. Customize output instantly and safely.

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
Cut by character count
Cut by column index
Maximize output

How to Use:

  • Paste your CSV data into the Input CSV box or import a supported file (.csv, .txt, .tsv, etc.) using the Choose File button just below the input.
  • Choose whether to cut by column index or cut by character count using the toggle switches in the Options box.
    • Cut by column index keeps only the first two columns.
    • Cut by character count truncates each row to the first 10 characters.
  • Use the Maximize output toggle to expand the output area for better viewing.
  • The result updates instantly in the Cut Output box, with a blue border flash.
  • Copy the result using Copy Output or download it as a .txt file using Export to File.
  • The counter below the output shows Total characters in the result.
  • Click Clear All to reset everything, including toggles and file input.

What Cut CSV can do:

Cut CSV gives you quick control over how much of your CSV content you keep. It can trim full tables down to just essential columns or limit long lines to a fixed number of characters useful for previews, sanitizing data, or keeping output compact. The tool updates live, supports file imports, and respects your formatting choices. You can flip between modes on the fly, view the change in real time, and copy or export the result. Everything happens right in your browser, no installs or uploads needed.

Example:

Input:

Name,Age,City,Occupation
Alice,30,New York,Engineer
Bob,27,London,Designer
Charlie,33,Sydney,Doctor

Output (Cut by column index):

Name,Age
Alice,30
Bob,27
Charlie,33

Output (Cut by character count):

Name,Age,C
Alice,30,N
Bob,27,Lon
Charlie,33

Common Use Cases:

You might want to use Cut CSV when previewing only part of a larger dataset, removing unwanted columns before further processing, or testing scripts with smaller samples. It’s great for slicing down rows or headers fast and exporting the trimmed result for sharing or storing.

Useful Tools & Suggestions:

Before slicing, run Find CSV Dimensions so you know exactly what you’re working with. And once you’ve trimmed it down, Save it cleanly with Export List as Excel if you’re jumping to spreadsheets.

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