CSV to JSON Converter

What is CSV to JSON Converter?

Transform CSV and TSV data into JSON format with intelligent parsing that handles quoted fields, escaped characters, and nested data structures. Supports automatic format detection, type conversion for numbers and booleans, and multiple output structures including arrays, objects, and minified JSON. Handles both comma-separated (CSV) and tab-separated (TSV) files with options to transpose data and parse embedded JSON within cells.

Key Features

• Smart Parsing: Automatically handles quoted fields, escaped characters, and multi-line data
• Type Detection: Optional parsing of numbers, booleans, null values, and embedded JSON
• Data Transformation: Transpose option to convert columns into rows
• Multiple Output Formats: Array, Hash (object), or Minified JSON output
• File Support: Direct upload of .csv and .tsv files
• Flexible Separators: Support for comma (CSV) and tab (TSV) delimited files

How to Use

1. Paste your CSV/TSV data or upload a file using the "Open CSV/TSV File" button
2. Select the appropriate separator (Comma for CSV, Tab for TSV)
3. Configure parsing options:
   • Parse numbers: Convert numeric strings to actual numbers
   • Parse JSON: Parse embedded JSON objects within cells
   • Transpose: Convert columns to rows (useful for pivot-style data)
4. Choose output format:
   • Array: Standard array of objects (default)
   • Hash: Object with first column values as keys
   • Minify: Compact JSON without formatting
5. Click "Convert" to generate JSON output
6. Copy the result or download as a .json file

Example Usage

Input CSV:

name,age,active,metadata
John Doe,30,true,"{""role"":""admin""}"
Jane Smith,25,false,"{""role"":""user""}"

Output JSON (Array format with parsing enabled):

[
  {
    "name": "John Doe",
    "age": 30,
    "active": true,
    "metadata": {"role": "admin"}
  },
  {
    "name": "Jane Smith",
    "age": 25,
    "active": false,
    "metadata": {"role": "user"}
  }
]

Common Use Cases

• Converting spreadsheet exports to JSON for web applications
• Preparing data for REST API consumption
• Transforming database exports for JavaScript processing
• Converting survey data or analytics exports to structured format
• Creating configuration files from tabular data