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JSON to CSV Converter

Convert JSON arrays into CSV in your browser with upload, copy and download.

JSON Input

CSV Output

Frequently Asked Questions

What JSON shape?

Use an array of objects; a single object is wrapped automatically.

Quick Links

JSON to CSV Conversion: Complete Data Transformation Guide

Converting JSON data to CSV format is essential for data analysis, reporting, and integration with spreadsheet applications. Our free JSON to CSV converter handles complex nested structures while maintaining complete privacy - everything runs in your browser without uploading any data.

When to Convert JSON to CSV

✅ Common Use Cases

  • • API data analysis in Excel or Google Sheets
  • • Database exports for reporting
  • • Data migration between systems
  • • Creating reports from web applications
  • • Data backup and archival
  • • Integration with business intelligence tools

📊 Data Sources

  • • REST API responses
  • • NoSQL database exports
  • • Web application data
  • • Configuration files
  • • Log files and analytics data
  • • Third-party service integrations

JSON to CSV Conversion Process

Conversion Steps

1
JSON Parsing

JSON data is parsed and validated to ensure proper structure and format.

2
Structure Analysis

The tool analyzes the JSON structure to identify arrays, objects, and data types.

3
Header Generation

CSV headers are created based on JSON object keys or array structure.

4
Data Flattening

Nested JSON structures are flattened into tabular format suitable for CSV.

5
CSV Generation

Final CSV file is generated with proper formatting and escaping.

JSON Structure Examples

Example 1: Simple JSON Array

JSON Input
[
  {"name": "John", "age": 30, "city": "New York"},
  {"name": "Jane", "age": 25, "city": "Los Angeles"},
  {"name": "Bob", "age": 35, "city": "Chicago"}
]
CSV Output
name,age,city
John,30,New York
Jane,25,Los Angeles
Bob,35,Chicago

Example 2: Nested JSON Objects

JSON Input
[
  {
    "id": 1,
    "name": "Product A",
    "price": 29.99,
    "category": {
      "id": 1,
      "name": "Electronics"
    }
  },
  {
    "id": 2,
    "name": "Product B",
    "price": 19.99,
    "category": {
      "id": 2,
      "name": "Books"
    }
  }
]
CSV Output
id,name,price,category_id,category_name
1,Product A,29.99,1,Electronics
2,Product B,19.99,2,Books

Handling Complex JSON Structures

Nested Objects

Challenge: JSON objects within objects need to be flattened

Solution: Nested properties are converted to dot notation (e.g., user.address.street)

Arrays Within Objects

Challenge: Arrays of values need special handling

Solution: Arrays are converted to comma-separated strings or separate rows

Mixed Data Types

Challenge: Different data types in the same field

Solution: All values are converted to strings with proper escaping

Conversion Best Practices

✅ Do This

  • • Validate JSON structure before conversion
  • • Use consistent field names across objects
  • • Handle null and undefined values appropriately
  • • Test conversion with sample data first
  • • Document your JSON structure for reference
  • • Use our CSV Validator to check results

❌ Avoid This

  • • Converting malformed JSON without validation
  • • Ignoring data type consistency
  • • Not handling special characters properly
  • • Converting without understanding the structure
  • • Losing important nested data
  • • Not testing the conversion results

Common Issues & Solutions

Issue: Malformed JSON

Problem: JSON syntax errors prevent conversion

Solution: Validate JSON syntax using online JSON validators before conversion. Check for missing commas, brackets, or quotes.

Issue: Inconsistent Object Structure

Problem: Objects have different properties, causing missing columns

Solution: Normalize your JSON data structure or use our CSV Merge tool to combine results.

Issue: Special Characters in Data

Problem: Special characters break CSV formatting

Solution: Our converter automatically handles special characters with proper CSV escaping and quoting.

💡 Pro Tips for JSON to CSV Conversion

  • • Use our CSV to JSON converter for reverse conversions
  • • Test with small JSON samples before processing large datasets
  • • Use our CSV to Excel converter for advanced data analysis
  • • Consider flattening deeply nested JSON before conversion
  • • Use consistent naming conventions in your JSON objects
  • • Document your JSON structure for team collaboration and future reference