Example Data
JSON Example
{
"name": "John Doe",
"age": 30,
"city": "New York",
"hobbies": ["reading", "swimming", "cod...YAML Example
name: John Doe age: 30 city: New York hobbies: - reading - swimming - coding address: street...
XML Example
<?xml version="1.0" encoding="UTF-8"?> <root> <name>John Doe</name> <age>30</age> <city>New Yo...
JSON
• JavaScript Object Notation
• Lightweight data interchange
• Human readable
• Widely supported
YAML
• YAML Ain't Markup Language
• Human-friendly data serialization
• Indentation-based structure
• Popular for configuration files
XML
• eXtensible Markup Language
• Tag-based structure
• Self-describing data
• Enterprise applications
About JSON, YAML, and XML Formatting
Format, validate, and convert between JSON, YAML, and XML data formats. Our formatter supports syntax validation, pretty printing, and seamless conversion between formats. Perfect for developers, data analysts, and API integration work.
Data Format Applications
- API request and response formatting
- Configuration file conversion
- Data migration and transformation
- Web service integration
Frequently Asked Questions
What's the difference between JSON, YAML, and XML?
JSON is lightweight and JavaScript-native, YAML is human-readable with indentation-based structure, and XML is verbose but self-documenting with tags. Each has specific use cases: JSON for APIs, YAML for config files, XML for enterprise systems.
How do I validate JSON syntax?
Valid JSON requires double quotes around strings, no trailing commas, and proper nesting. Common errors include single quotes, unquoted keys, and missing brackets. Our formatter automatically validates and highlights syntax errors.
When should I use YAML over JSON?
Use YAML for configuration files, documentation, and human-edited data due to its readability. Use JSON for APIs, data exchange, and programmatic processing due to its simplicity and universal support.
Can I convert between these formats without data loss?
Basic conversions preserve data structure, but some features are format-specific: YAML comments, XML attributes, and JSON's strict typing. Complex structures may require manual adjustment after conversion.
What are common JSON formatting best practices?
Use consistent indentation (2 or 4 spaces), meaningful key names, proper data types, and avoid deeply nested structures. Minify JSON for production APIs but use pretty-printing for development and debugging.
How do I handle large JSON files?
For large files, use streaming parsers, pagination, or split data into smaller chunks. Browser-based formatters like ours have memory limits, so consider server-side processing for files over 10MB.