JSON Converter
Professional JSON converter supporting bidirectional conversion between JSON, XML, CSV, YAML, and TOML formats with intelligent parsing, validation, and formatting.
Format Selection
Conversion Options
Input (JSON)
Output (XML)
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Complete Guide to JSON Data Conversion
Table of Contents
JSON to XML Conversion
Converting JSON to XML preserves hierarchical structure while adapting to XML's attribute-based model. Our converter handles nested objects, arrays, and maintains data types through intelligent parsing.
- Nested objects become XML elements
- Arrays are handled as repeated elements
- Special characters are properly escaped
- Optional XML declaration inclusion
JSON to CSV Conversion
JSON to CSV conversion flattens hierarchical data into tabular format, ideal for spreadsheet analysis. Nested objects are flattened using dot notation for column headers.
- Automatic header extraction from object keys
- Nested object flattening with dot notation
- Array handling with delimiter separation
- Custom delimiter support (comma, semicolon, tab)
JSON to YAML Conversion
YAML conversion creates human-readable configuration files from JSON data. Perfect for DevOps workflows, configuration management, and documentation.
- Maintains data structure and types
- Configurable indentation (2, 4, or 8 spaces)
- Automatic string quoting when necessary
- Clean, readable output format
JSON to TOML Conversion
TOML (Tom's Obvious, Minimal Language) conversion creates configuration files optimized for readability and minimal complexity. Ideal for application configuration and settings management.
- Simple key-value pairs for primitive types
- Table sections for nested objects
- Array of tables for complex structures
- Type-safe value formatting
Best Practices for Data Conversion
Follow these guidelines to ensure successful data conversion and maintain data integrity:
- Validate Input: Always validate your source data format before conversion
- Handle Nested Data: Consider how nested structures will be represented in the target format
- Choose Appropriate Formats: Select formats based on your use case (CSV for tabular data, YAML for configuration)
- Test Conversions: Verify that converted data maintains its semantic meaning
- Use Type Detection: Enable auto-detection for unknown input formats
Frequently Asked Questions
Can I convert large JSON files?
Yes, our converter handles large datasets efficiently. For very large files (>10MB), consider using batch processing tools.
Will data types be preserved during conversion?
Yes, our intelligent parser maintains data types (strings, numbers, booleans, null) across all supported formats.
How are JSON arrays handled in XML conversion?
JSON arrays are converted to repeated XML elements with the same tag name, preserving the array structure.
Can I customize the output formatting?
Yes, you can adjust indentation, delimiters, and other formatting options for each output format.