JSON to CSV Converter

Convert JSON data to CSV format with automatic column detection

Overview

A robust online JSON to CSV converter that transforms JSON data into CSV (Comma-Separated Values) format. This tool handles complex JSON structures, supports custom column mapping, and provides flexible output options for maximum compatibility with spreadsheet applications.

Key Benefits

  • Convert complex JSON structures to CSV format
  • Automatic column detection and mapping
  • Support for nested JSON objects and arrays
  • Custom delimiter options
  • Flexible header customization
  • Large file handling capability
  • Download converted CSV files instantly

Primary Use Cases

  • Converting API responses to spreadsheet format
  • Transforming JSON data for data analysis
  • Preparing data for Excel import
  • Creating CSV reports from JSON data
  • Processing JSON exports for database imports

Features

Main Features

  • Real-time JSON parsing and conversion
  • Nested object flattening
  • Array handling options
  • Custom column ordering
  • Multiple delimiter choices
  • Header row customization
  • Large file support

Technical Specifications

  • Handles JSON files up to 50MB
  • Supports nested structures
  • UTF-8 encoding support
  • Custom date formatting
  • Array value concatenation

How It Works

The JSON to CSV converter analyzes your JSON structure, flattens nested objects, and generates a tabular format suitable for CSV. It automatically maps properties to columns and handles complex data types appropriately.

Steps

  1. Upload or paste your JSON data
  2. Configure column mapping options
  3. Select delimiter preference
  4. Choose array handling method
  5. Preview the conversion results
  6. Download the converted CSV

Limitations

  • Maximum file size: 50MB
  • Complex nested structures may require custom mapping
  • Some data types may require transformation

Examples

Simple JSON to CSV Conversion

Converting an array of JSON objects to CSV

Input:

[
  {"name": "John Doe", "age": 30, "city": "New York"},
  {"name": "Jane Smith", "age": 25, "city": "Los Angeles"}
]

Output:

name,age,city
John Doe,30,New York
Jane Smith,25,Los Angeles

Nested JSON Structure

Converting JSON with nested objects and arrays

Input:

[
  {
    "id": 1,
    "name": "John",
    "skills": ["javascript", "python"],
    "address": {
      "city": "New York",
      "country": "USA"
    }
  },
  {
    "id": 2,
    "name": "Jane",
    "skills": ["java", "c++"],
    "address": {
      "city": "London",
      "country": "UK"
    }
  }
]

Output:

id,name,skills,address.city,address.country
1,John,"javascript,python",New York,USA
2,Jane,"java,c++",London,UK

Frequently Asked Questions

How are nested JSON objects handled?

Nested objects are flattened using dot notation in column headers, while arrays are typically joined with commas (configurable).

Can I customize the CSV format?

Yes, you can choose different delimiters, customize header names, and specify how arrays and nested objects should be handled.

What happens to null values?

Null values can be converted to empty fields or replaced with a custom placeholder of your choice.

Is the CSV Excel-compatible?

Yes, the generated CSV files are fully compatible with Excel and other spreadsheet applications.

Tips & Best Practices

Best Practices

  • Verify JSON structure before conversion
  • Consider flattening options for nested data
  • Choose appropriate array handling methods
  • Preview results before downloading
  • Back up data before conversion
  • Use appropriate encoding for special characters

Common Pitfalls

  • Inconsistent object structures
  • Unhandled special characters
  • Complex nested arrays
  • Missing required fields
  • Mixed data types

Technical Details

Supported Formats

  • Standard JSON arrays
  • Nested JSON objects
  • Mixed array types
  • Various number formats
  • Date strings

Limitations

  • Maximum file size: 50MB
  • Maximum nesting depth: 10 levels
  • Maximum array items: 10,000

Browser Compatibility

  • All modern browsers
  • Excel compatibility
  • Google Sheets support
  • LibreOffice compatibility

Security & Privacy

Data Handling

  • Client-side processing only
  • No server storage
  • No data transmission
  • Memory-only operation

Privacy Considerations

  • No data collection
  • No cookies required
  • No tracking
  • Open source code

Resources & References

Documentation

References