Convert CSV Columns to an Array

Convert CSV Columns to an Array quickly extracts each column and formats them into JavaScript-style arrays. Use headers as keys or generate generic column names. Instant preview and export.

Paste your input above or import a file below.
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Supported file types: .txt, .csv, .tsv, .log, .json, .xml, .md, .ini, .yaml, .yml, .html, .htm, .css
Total characters: 0
Options
Use first row as keys

How to Use:

  • Paste your CSV content into the “Input CSV” box or click “Choose File” to upload a compatible file
  • Supported file types: .txt, .csv, .tsv, .log, .json, .xml, .md, .ini, .yaml, .yml, .html, .htm, .css
  • Use the toggle Use first row as keys to determine how arrays are labeled:
    • If enabled, the tool uses the first row as the column names
    • If disabled, it uses generic names like col1, col2, etc.
  • Output updates instantly on the right, with a flashing border to confirm changes
  • You’ll see each column as a named array with quoted values
  • The character count below the output box updates in real time
  • Click “Convert” to reprocess the input manually if needed
  • Click “Copy Output” to copy all arrays to the clipboard
  • Click “Export to File” to save the result as a .txt file
  • Click “Clear All” to reset input, output, file selection, and toggles

What Convert CSV Columns to an Array can do:

Convert CSV Columns to an Array takes a CSV dataset and turns each column into a JavaScript-friendly array. Whether you’re preparing data for frontend work, visualization tools, or quick prototyping, this tool makes it easy to extract and structure columns without writing a line of code. Toggle headers on or off depending on your CSV structure.

Example:

Input:

name,age,email
Alice,30,[email protected]
Bob,25,[email protected]
Carol,28,[email protected]

Output:

name: ["Alice", "Bob", "Carol"]
age: ["30", "25", "28"]
email: ["[email protected]", "[email protected]", "[email protected]"]

Common Use Cases:

Use this tool to prep columns for charting libraries like Chart.js, populate form fields, seed test data in web apps, or generate reusable constant arrays for scripts. It’s also useful for developers quickly dissecting data without needing a full parser.

Useful Tools & Suggestions:

After the conversion, Convert an Array of Arrays to CSV makes it easy to rebuild the file later. And if you want to prep columns first, Extract a CSV Column helps isolate just what you need.

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