JSON Formatter & Validator

Format, validate, escape and unescape JSON data with easy copy functionality

Complete Guide to JSON Processing

📋 JSON Fundamentals

What is JSON?

JavaScript Object Notation - lightweight, text-based data interchange format. Human-readable and language-independent.

Data Types

Supports: strings, numbers, booleans, arrays, objects, and null. No undefined, functions, or comments.

Syntax Rules

Uses double quotes for strings, comma-separated values, and specific nesting rules. Case-sensitive.

⚠️ Common Mistakes:

  • • Using single quotes instead of double quotes
  • • Trailing commas after last array/object item
  • • Undefined values (use null instead)
  • • Unescaped special characters in strings

✅ JSON Best Practices

Consistent Naming

Use camelCase for property names. Be consistent across your entire API or application.

Good: "firstName", "userAge" | Bad: "first_name", "user-age"

Meaningful Structure

Group related data, use nested objects appropriately, and maintain flat structures when possible.

Data Validation

Always validate JSON before processing. Use schema validation for production systems.

Security Considerations

Never parse untrusted JSON with eval(). Use JSON.parse() and implement proper error handling.

💡 Pro Tips:

  • • Use tools like JSON Schema for validation
  • • Implement consistent error response formats
  • • Consider JSONP for cross-domain requests
  • • Use compression for large JSON payloads

🚀 Professional Use Cases

API Development

  • • REST API responses
  • • Request/response logging
  • • API documentation
  • • Schema validation

Configuration

  • • Application settings
  • • Environment variables
  • • Build configurations
  • • Feature flags

Data Exchange

  • • System integration
  • • Data import/export
  • • Third-party APIs
  • • Database seeding

Frontend Development

  • • AJAX responses
  • • State management
  • • Local storage
  • • Progressive web apps

📊 JSON vs Other Data Formats

Format Pros Cons Best For
JSON Lightweight, readable, universal support No comments, limited data types APIs, web applications, configs
XML Schema validation, namespaces, attributes Verbose, complex parsing Enterprise systems, SOAP APIs
YAML Human-readable, comments, multi-line Indentation-sensitive, slower parsing Configuration files, documentation
CSV Simple, Excel compatible, compact Flat structure only, limited data types Tabular data, data analysis

Format Options

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