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How to Use

  1. Paste your JSON array in the left textarea
  2. Click "Convert to CSV" to transform JSON to CSV format
  3. View the CSV output in the right textarea
  4. Click "Copy CSV" to copy to clipboard or "Download CSV" to save as file
  5. Open in Excel, Google Sheets, or any spreadsheet application

Common JSON to CSV Use Cases

All conversion happens entirely in your browser. Your JSON data is never uploaded to any server, making it safe to convert sensitive business data, customer records, and proprietary API responses.

Why Convert JSON to CSV?

CSV (Comma-Separated Values) is universally supported by spreadsheet applications, databases, and data analysis tools. Converting JSON to CSV makes data accessible to non-technical users, enables Excel analysis, and simplifies data import/export workflows.

Common Use Cases

Features

Conversion Example

JSON Input

[
  {"name": "John Doe", "age": 30, "city": "New York"},
  {"name": "Jane Smith", "age": 25, "city": "London"},
  {"name": "Bob Johnson", "age": 35, "city": "Paris"}
]

CSV Output

name,age,city
"John Doe",30,"New York"
"Jane Smith",25,"London"
"Bob Johnson",35,"Paris"

Examples

Example 1: Converting a Simple JSON Array

The most straightforward case is a JSON array of flat objects. Each object becomes a row, and the keys become column headers.

Input JSON:

[
  { "id": 1, "name": "Alice", "email": "alice@example.com", "role": "admin" },
  { "id": 2, "name": "Bob", "email": "bob@example.com", "role": "editor" },
  { "id": 3, "name": "Carol", "email": "carol@example.com", "role": "viewer" }
]

Output CSV:

id,name,email,role
1,Alice,alice@example.com,admin
2,Bob,bob@example.com,editor
3,Carol,carol@example.com,viewer

This CSV can be opened directly in Excel or Google Sheets. The first row contains the headers derived from the JSON keys, and each subsequent row represents one object from the array.

Example 2: Flattening Nested JSON Objects

API responses often contain nested objects. The converter flattens them using dot-notation column names.

Input JSON:

[
  {
    "id": 101,
    "name": "Alice",
    "address": {
      "city": "New York",
      "country": "US"
    },
    "stats": {
      "posts": 42,
      "followers": 1200
    }
  },
  {
    "id": 102,
    "name": "Bob",
    "address": {
      "city": "London",
      "country": "GB"
    },
    "stats": {
      "posts": 18,
      "followers": 340
    }
  }
]

Output CSV:

id,name,address.city,address.country,stats.posts,stats.followers
101,Alice,New York,US,42,1200
102,Bob,London,GB,18,340

The nested address and stats objects are flattened into columns with dot-notation names. This preserves the structural information in the column names while producing a flat, spreadsheet-compatible format.

Example 3: Handling Arrays Within Objects

When JSON objects contain arrays, the converter joins the array values as a delimited string within a single cell.

Input JSON:

[
  { "id": 1, "name": "Alice", "tags": ["javascript", "react", "node"] },
  { "id": 2, "name": "Bob", "tags": ["python", "django"] },
  { "id": 3, "name": "Carol", "tags": ["java", "spring", "kubernetes"] }
]

Output CSV:

id,name,tags
1,Alice,javascript;react;node
2,Bob,python;django
3,Carol,java;spring;kubernetes

The tags array is joined with a semicolon separator. This keeps each record on a single row while preserving all array values. The separator character is configurable in the tool settings.

Frequently Asked Questions

Yes, our Json To Csv is completely free with no registration required. Use it unlimited times without any restrictions.

Yes, all processing happens locally in your browser. Your data never leaves your device and is not stored on our servers.

No installation needed. The tool works directly in your web browser on any device.

The tool supports all standard formats. Simply paste your input and the conversion happens instantly.

Yes, you can process multiple conversions by using the tool repeatedly. Each conversion is instant.