JSON Schema Compare

What is JSON Schema Compare?

JSON Schema Compare is a specialized tool designed to analyze and compare the structure (schema) of two JSON documents. Unlike standard JSON comparison tools that focus on data values, this tool examines the structure itself - the properties, their types, and their hierarchical organization.

How Does This Tool Work?

Simply upload or paste two JSON files into the text areas above. The tool will:

• Parse both JSON documents - Validates that both inputs are valid JSON
• Extract the schema structure - Identifies all properties and their types
• Compare the schemas - Analyzes differences in structure, not data values
• Present detailed results - Shows what's missing, added, or different between the two schemas

Key Features

• Schema-Only Comparison: Focuses on structure, not data values
• Missing Properties Detection: Identifies properties in JSON 1 that are absent in JSON 2
• Additional Properties Detection: Identifies new properties in JSON 2 not present in JSON 1
• Type Difference Detection: Finds properties that exist in both but have different types
• Nested Object Support: Handles complex nested JSON structures
• Array Analysis: Examines array structures and element types
• Real-time Validation: Validates JSON syntax as you type or paste
• File Upload Support: Upload .json files directly

Common Use Cases

• API Version Comparison: Compare different versions of API responses to identify breaking changes
• Data Migration: Ensure source and destination schemas are compatible
• Schema Documentation: Identify differences between expected and actual data structures
• Configuration Validation: Compare configuration files to ensure consistency
• Testing: Verify that test data matches expected schema structure
• Integration Development: Compare schemas from different systems for integration planning

Understanding the Results

The comparison results are organized into three categories:

• Properties Missing in JSON 2: These exist in JSON 1 but not in JSON 2 (potential data loss)
• Additional Properties in JSON 2: These are new in JSON 2 and don't exist in JSON 1 (potential new features)
• Type Differences: Properties that exist in both but have different data types (potential compatibility issues)

Example JSON Files

Try comparing these example JSON structures:

JSON 1 Example:

{
  "user": {
    "id": 123,
    "name": "John Doe",
    "email": "john@example.com",
    "age": 30
  },
  "settings": {
    "notifications": true
  }
}

JSON 2 Example:

{
  "user": {
    "id": 456,
    "name": "Jane Smith",
    "email": "jane@example.com",
    "phone": "+1234567890",
    "age": "25"
  },
  "settings": {
    "notifications": false,
    "theme": "dark"
  }
}

This comparison would show:

• Missing: user.age (if types differ)
• Additional: user.phone, settings.theme
• Type Difference: user.age (Number in JSON 1, String in JSON 2)