CSV to JSON Converter

Why a Real CSV Parser Matters

Splitting CSV on commas naively breaks the moment a field contains a comma inside quotes (like "Smith, John") or a quoted field spanning multiple lines. This tool implements a proper RFC 4180-style parser that correctly handles quoted fields, escaped quotes (""), and embedded commas/newlines.

How to Use It

1. Paste CSV text or upload a .csv file.
2. The first row is treated as column headers by default.
3. Click Convert - each row becomes a JSON object keyed by the headers.
4. Copy or download the resulting JSON.

Data Integrity Notes

A row with fewer values than headers gets missing keys omitted (not silently set to empty string) so you can tell the difference; a row with extra values beyond the header count is flagged as a warning rather than silently dropping the extra data.

Limitations

This processes data entirely in your browser and applies a practical size limit to avoid freezing the tab on extremely large files - for very large CSV files, consider splitting them first.

Example

This CSV, where the address contains a comma inside quotes:

name,price,city
Blue Mug,249,"Pune, MH"
Travel Bottle,599,Noida

becomes one object per row, keyed by the header:

[
  {
    "name": "Blue Mug",
    "price": "249",
    "city": "Pune, MH"
  },
  {
    "name": "Travel Bottle",
    "price": "599",
    "city": "Noida"
  }
]

A naive split on commas would have produced four columns for the first row and shifted every value after it.

Where It Helps

• Turning a spreadsheet export into test data or a mock API response.
• Importing a product or contact list into a JavaScript app or a NoSQL database.
• Checking what a CSV really contains when the file looks broken in a spreadsheet.

Tips for Clean Results

• Keep one header row with unique, simple column names - they become your JSON keys.
• Save the file as UTF-8 so names with accents or non-Latin scripts convert correctly.
• Excel in some regions saves "CSV" with semicolons; if every row becomes a single field, that is the reason.

Going the other way? Use JSON to CSV. For database imports try CSV to SQL, and read our guide on how to convert CSV to JSON.