CSV to JSON Converter: Transform Data Between Formats

CSV vs JSON: Key Differences

Understanding the differences between CSV and JSON helps you choose the right format for your use case:

In short: CSV is great for tabular data and spreadsheet interoperability, while JSON is the standard for APIs, configuration files, and complex data structures. Converting from CSV to JSON gives you the best of both worlds.

How to Convert CSV to JSON

Using FormatList's CSV to JSON converter is straightforward:

1. Step 1: Open the CSV to JSON Tool

   Go to formatlist.com/csv-to-json. You'll see a CSV input panel on the left and the JSON output on the right.

2. Step 2: Paste or Upload Your CSV

   Paste CSV data directly into the text area, or use the file upload button to load a .csv file from your computer. The tool supports large files up to your browser's memory limit.

3. Step 3: Configure Conversion Options

   Select the delimiter used in your CSV — comma (default), tab, semicolon, or pipe. Toggle the header row option on or off. When headers are enabled, the first row's values become the JSON object keys.

4. Step 4: Copy Your JSON

   The JSON output updates in real time as you type or change settings. Click Copy to copy the formatted JSON to your clipboard, ready for use in your application.

Examples

Basic CSV to JSON

Input CSV with headers:

name,email,age
Alice Johnson,alice@example.com,29
Bob Smith,bob@example.com,35
Carol Davis,carol@example.com,42

Converted JSON:

[
  {
    "name": "Alice Johnson",
    "email": "alice@example.com",
    "age": "29"
  },
  {
    "name": "Bob Smith",
    "email": "bob@example.com",
    "age": "35"
  },
  {
    "name": "Carol Davis",
    "email": "carol@example.com",
    "age": "42"
  }
]

With Semicolon Delimiter

product;price;quantity;inStock
Widget A;12.99;100;true
Widget B;24.99;50;false

[
  {
    "product": "Widget A",
    "price": "12.99",
    "quantity": "100",
    "inStock": "true"
  },
  {
    "product": "Widget B",
    "price": "24.99",
    "quantity": "50",
    "inStock": "false"
  }
]

Without Header Row

When headers are disabled, the tool generates numeric keys for each column:

10,Main Street,New York,NY
20,Elm Avenue,Los Angeles,CA

[
  {
    "col_0": "10",
    "col_1": "Main Street",
    "col_2": "New York",
    "col_3": "NY"
  },
  {
    "col_0": "20",
    "col_1": "Elm Avenue",
    "col_2": "Los Angeles",
    "col_3": "CA"
  }
]

Handling Quoted Fields and Special Characters

CSV data often contains quoted fields — especially when values include commas, newlines, or embedded quotes. FormatList's converter handles these cases automatically:

name,description,tags
"Widget A","A powerful, feature-rich widget","tools,popular"
"Widget B","Multi-line
description here","new"

The converter correctly parses:

• Commas inside quoted fields (e.g., "A powerful, feature-rich widget")
• Multi-line values within quotes
• Escaped double quotes ("") inside quoted fields
• Mixed quoted and unquoted fields in the same row

Common Use Cases

FAQ

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