JSON to CSV Converter – Free Online Tool

You’ve got JSON data from an API or a web app, but you need to analyze it in Excel, Google Sheets, or another spreadsheet program. Manually reformatting? That’s a nightmare. A JSON to CSV Converter solves this problem instantly. Just paste in your JSON and it turns into rows and columns you can open, edit, and share.

Why You Might Need This Tool

• APIs give JSON, but analysts want CSV. Most APIs return JSON data. Business users often need CSV to filter, sort, and run formulas in Excel.
  
• Simple reporting. CSV is easier to share with colleagues who don’t know JSON.
  
• Data portability. CSV is the universal spreadsheet format, readable by almost any software.
  
• Clarity. JSON is structured, but not everyone finds it easy to read.
  

What the Converter Does

• Input: You provide JSON (copy-paste or upload).
  
• Parse: The tool reads the JSON structure.
  
• Flatten: Nested objects and arrays are flattened into rows and columns.
  
• Output: Clean CSV text that you can download or paste into Excel.
  

How the Conversion Works

Here’s the step-by-step logic behind JSON → CSV conversion:

1. Read JSON. The converter checks if the input is an array of objects or a nested object.
   
2. Extract keys. The unique field names across all objects become the CSV headers.
   
3. Handle nested data.
   
   • Objects inside objects get flattened (e.g., user.name).
     
   • Arrays may become multiple rows or a comma-joined string depending on settings.
     
4. Build rows. Each JSON object becomes one CSV row.
   
5. Output result. The tool produces a CSV string with headers and rows separated by commas (or semicolons if chosen).
   

Example Conversion

JSON Input:

[

  {“id”: 1, “name”: “Jane Doe”, “email”: “jane@example.com”},

  {“id”: 2, “name”: “John Smith”, “email”: “john@example.com”}

]

CSV Output:

id,name,email

1,Jane Doe,jane@example.com

2,John Smith,john@example.com

If nested objects exist:

JSON:

{

  “user”: {“id”: 3, “name”: “Ann O’Connor”},

  “status”: “active”

}

CSV:

user.id,user.name,status

3,Ann O’Connor,active

Advanced Features You Might See

• Delimiter choice: Use ,, ;, or tab.
  
• Quote handling: Wrap text values in quotes if they contain commas.
  
• Array handling: Join arrays with commas, or expand into multiple rows.
  
• Pretty headers: Convert user.name into User Name if desired.
  
• Privacy: Convert entirely in the browser, no data uploaded.