Formatter
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🎨 JSON Formatter & Beautifier

Enter JSON data to format and validate

📝 Input JSON

Paste your JSON data here to format, validate, or minify

✨ Formatted Output

Formatted JSON will appear here...

✅ JSON Validator

🔍 JSON Validation

🔄 JSON Converter

Convert JSON to other formats

📊 JSON to CSV

Convert JSON array to CSV format

📄 JSON to XML

Transform JSON to XML structure

📝 JSON to YAML

Convert JSON to YAML format

🔗 JSON to URL Params

Convert JSON to URL parameters

📥 Input JSON for Conversion

📋 JSON Examples & Use Cases

👤 User Profile

Common user profile structure with nested objects

{ "id": 123, "name": "John Doe", "email": "john@example.com", "profile": { "age": 30, "location": "New York" } }

📊 API Response

Typical REST API response with pagination

{ "data": [ {"id": 1, "title": "Post 1"}, {"id": 2, "title": "Post 2"} ], "meta": { "page": 1, "total": 100 } }

⚙️ Configuration

Application configuration with multiple environments

{ "database": { "host": "localhost", "port": 5432, "ssl": true }, "features": { "auth": true, "logging": false } }

🛒 E-commerce

Shopping cart with products and pricing

{ "cart": { "items": [ { "product": "Laptop", "price": 999.99, "quantity": 1 } ], "total": 999.99 } }

📅 Event Data

Event structure with dates and participants

{ "event": "Conference 2025", "date": "2025-07-15", "participants": [ "Alice", "Bob", "Charlie" ], "location": { "venue": "Convention Center", "city": "San Francisco" } }

🏢 Nested Complex

Complex nested structure with arrays and objects

{ "company": { "departments": [ { "name": "Engineering", "employees": [ { "name": "Alice", "skills": ["React", "Node.js"] } ] } ] } }

📖 JSON Guide & Best Practices

What is JSON?

JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format. It's easy for humans to read and write, and easy for machines to parse and generate.

JSON Syntax Rules

  • Data is in name/value pairs: "name": "value"
  • Data is separated by commas: {"name": "John", "age": 30}
  • Curly braces hold objects: {"key": "value"}
  • Square brackets hold arrays: ["apple", "banana", "orange"]
  • Strings must be in double quotes: "text"
  • Numbers can be integers or decimals: 42, 3.14
  • Boolean values: true, false
  • Null value: null

Data Types in JSON

Data Type Description Example Notes
String Text enclosed in double quotes "Hello World" Must use double quotes, not single
Number Integer or floating point 42, 3.14, -10 No leading zeros allowed
Boolean True or false value true, false Lowercase only
Null Empty value null Represents no value
Object Collection of key/value pairs {"name": "John"} Keys must be strings
Array Ordered list of values [1, 2, 3] Can contain mixed types

Common JSON Mistakes

  • Using single quotes: Use "text" not 'text'
  • Trailing commas: {"a": 1, "b": 2,} is invalid
  • Unquoted keys: {name: "John"} should be {"name": "John"}
  • Comments: JSON doesn't support comments
  • Undefined values: Use null instead of undefined
  • Functions: JSON can't contain functions

Best Practices

  • Use descriptive key names: "firstName" instead of "fn"
  • Be consistent with naming: Use camelCase or snake_case consistently
  • Validate JSON: Always validate before using in production
  • Keep it flat when possible: Avoid deep nesting
  • Use arrays for lists: Even if there's only one item
  • Include version information: For API responses
  • Use ISO 8601 for dates: "2025-07-12T10:30:00Z"

JSON vs Other Formats

Format Human Readable File Size Parse Speed Use Case
JSON Good Medium Fast Web APIs, Config files
XML Good Large Slow Enterprise systems, SOAP
YAML Excellent Medium Medium Configuration files
CSV Good Small Fast Tabular data
Binary Poor Small Very Fast High-performance apps

Security Considerations

  • Validate input: Never trust JSON from external sources
  • Limit size: Prevent large JSON payloads from causing issues
  • Sanitize data: Clean data before processing
  • Use HTTPS: Encrypt JSON data in transit
  • Avoid sensitive data: Don't include passwords or tokens