JSON to CSV Converter

[
  {"name": "Alice", "age": 28},
  {"name": "Bob", "age": 32}
]

[
  {
    "user": "john123",
    "profile": {
      "city": "NYC",
      "country": "USA"
    }
  }
]

[
  {
    "id": 1,
    "tags": ["web", "api"],
    "meta": {"active": true}
  }
]

What is JSON to CSV Conversion?

JSON to CSV conversion transforms JavaScript Object Notation (JSON) data into Comma-Separated Values (CSV) format. This is essential when you need to import JSON data into spreadsheet applications like Excel or Google Sheets, or when working with tools that require tabular data formats.

Key Features

• Multiple Delimiters: Choose comma, semicolon, tab, or pipe separators
• Nested Object Handling: Flatten complex JSON structures automatically
• Array Processing: Multiple options for handling array data
• Flexible Input: Supports JSON arrays, single objects, and NDJSON
• Download Ready: Export directly as .csv file
• Table Preview: See your data in table format before downloading

Common Use Cases

• API Data Export: Convert API responses to spreadsheet format
• Database Migration: Transform JSON exports for database imports
• Data Analysis: Prepare JSON data for Excel or statistical tools
• Report Generation: Create CSV reports from JSON logs
• Integration Tasks: Convert between systems using different formats

Handling Complex JSON Structures

Our converter intelligently handles various JSON complexities:

• Nested Objects: Flattens using dot notation (e.g., user.address.city)
• Arrays: Join items, extract first element, or get counts
• Mixed Types: Preserves data types while ensuring CSV compatibility
• Missing Fields: Handles inconsistent object structures gracefully

How to Use This Tool

1. Paste your JSON data in the input area
2. Select your preferred delimiter (comma, semicolon, tab, or pipe)
3. Choose how to handle nested objects and arrays
4. Click "Convert to CSV" to process your data
5. Preview the table or copy/download the CSV output

Pro Tips

• Use semicolon delimiter for Excel in European locales
• Enable "Quote string values" for data containing commas
• Flatten nested objects for easier spreadsheet analysis
• Test with a small sample first when converting large datasets
• Use NDJSON format for streaming large JSON files