JSON Converter

Convert JSON data to multiple formats including XML, CSV, TSV, and YAML. Perfect for data interchange, system integration, and exporting data to different applications.

What is JSON Conversion?

JSON conversion transforms JSON data structures into other popular data formats, making it easier to integrate with different systems, import into spreadsheets, or use in various applications that require specific data formats.

Supported Formats

• XML: Extensible Markup Language for structured data
• CSV: Comma-Separated Values for spreadsheet applications
• TSV: Tab-Separated Values, similar to CSV but tab-delimited
• YAML: YAML Ain't Markup Language for configuration files

Features

• Multiple format support: Convert to XML, CSV, TSV, and YAML
• Real-time conversion: Updates as you type or change formats
• Custom root names: Specify XML root element names
• Proper escaping: Handles special characters correctly
• Copy functionality: Copy converted data easily
• Download support: Save as files in target format
• Sample data: Includes test data for all formats

How to use this tool

1. Enter your JSON data in the input field
2. Select your target format (XML, CSV, TSV, or YAML)
3. For XML, optionally specify a custom root element name
4. View the converted output instantly
5. Copy or download the converted data

Format Requirements

CSV/TSV Conversion

• Array requirement: JSON must be an array of objects
• Consistent structure: All objects must have the same properties
• Proper escaping: Special characters are handled automatically
• Headers: First row contains column headers

XML Conversion

• Flexible structure: Works with objects and arrays
• Element wrapping: All values wrapped in XML elements
• Custom root: Specify root element name
• Nested support: Handles complex nested structures

YAML Conversion

• Clean formatting: Human-readable YAML output
• Proper indentation: Consistent 2-space indentation
• Type preservation: Maintains data types correctly
• Null handling: Converts null values properly

Example

Input JSON:

[
  {
    "id": 1,
    "name": "John Doe",
    "email": "john@example.com",
    "age": 30,
    "department": "Engineering"
  },
  {
    "id": 2,
    "name": "Jane Smith",
    "email": "jane@example.com",
    "age": 28,
    "department": "Marketing"
  }
]

Output formats:

• XML: Structured XML with root element
• CSV: Tabular format with headers
• TSV: Tab-separated values
• YAML: Human-readable configuration format

Best practices

• Data validation: Ensure JSON structure matches target format requirements
• Type consistency: Use consistent data types for CSV/TSV conversion
• Special characters: CSV handles quotes and commas automatically
• Root names: Use descriptive XML root element names
• Array structure: Use arrays of objects for tabular data

Use cases

• Data migration: Convert between different system formats
• API integration: Transform data for different API requirements
• Spreadsheet import: Convert to CSV/TSV for Excel, Google Sheets
• Configuration files: Generate YAML for application configs
• System integration: XML for enterprise system integration
• Data analysis: CSV/TSV for statistical analysis tools
• Documentation: YAML for human-readable configuration

Format Comparison

Performance considerations

• Conversion speed: All conversions happen instantly in browser
• Memory usage: Processes entire dataset in memory
• Large files: May impact performance with very large datasets
• Real-time updates: Converts on every keystroke for instant feedback

Related tools on ChangeBlogger

• JSON Validator – for validating and analyzing JSON
• JSON Prettifier – for formatting JSON with indentation
• JSON Minifier – for compressing JSON files
• JSON Syntax Highlighter – for color-coded JSON display
• JSON Stringifier – for converting JavaScript objects to JSON