JSON to CSV Converter [2025]

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Transform complex JSON data into CSV format with intelligent structure handling. Perfect for data analysis and system integration.

✓ Smart Flattening✓ Array Handling✓ Instant Preview

Key Features

  • Intelligent flattening of nested JSON objects using dot notation.
  • Smart array handling with options to expand or preserve array structure.
  • Support for complex JSON structures with unlimited nesting levels.
  • Customizable options for null values and string formatting.
  • Browser-based conversion with no data sent to servers.
  • Support for large JSON files up to 10MB.
  • Real-time preview and instant conversion.
  • One-click copy and download functionality.

Common Use Cases

Data Analysis

  • • API responses
  • • Log processing
  • • Analytics data
  • • Metrics conversion

Integration

  • • Data migration
  • • System exports
  • • Database imports
  • • Batch processing

Reporting

  • • Excel analysis
  • • Data visualization
  • • Business reports
  • • Performance metrics

Structure Handling Examples

Nested Objects

JSON Input:

{
  "user": {
    "name": "John",
    "address": {
      "city": "New York"
    }
  }
}

CSV Output:

user.name,user.address.city
John,New York

Array Handling

JSON Input:

{
  "name": "John",
  "tags": ["dev", "admin"]
}

CSV Output:

name,tags[0],tags[1]
John,dev,admin

Frequently Asked Questions

How are nested objects handled?

Nested objects are flattened using dot notation by default. For example, {"user": {"name": "John"}} becomes a column "user.name". You can disable this feature to keep objects as JSON strings in the CSV.

What about arrays in the JSON?

Arrays can be handled in two ways: expanded into separate columns (tags[0], tags[1], etc.) or preserved as JSON strings. The tool automatically detects arrays and provides options for how to process them.

Is there a file size limit?

The converter supports JSON files up to 10MB in size. For larger files, consider splitting them into smaller chunks or using command-line tools for batch processing.

What about special characters in fields?

The converter automatically handles special characters, including commas, quotes, and newlines, by properly escaping them and wrapping fields in quotes when necessary to maintain CSV compatibility.

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