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JSON Schema Validator

Validate JSON data against JSON Schema specifications with comprehensive error reporting and schema compliance verification.

Schema Validation
Error Detection
Compliance Check
Detailed Reports

JSON Schema

Define the validation rules and structure

JSON Data

The JSON data to validate against the schema

πŸ’‘ Validation Tips

Schema Best Practices

  • β€’ Use specific types (string, number, boolean, etc.)
  • β€’ Define required properties clearly
  • β€’ Add format validation for strings (email, date, etc.)
  • β€’ Set appropriate min/max constraints

Common Validation Keywords

  • β€’ type: Data type validation
  • β€’ required: Required properties
  • β€’ properties: Object property schemas
  • β€’ items: Array item schema

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What is JSON Schema Validation?

JSON Schema validation is the process of verifying that JSON data conforms to a predefined schema specification. A JSON Schema defines the structure, data types, constraints, and validation rules that JSON data must follow.

This validation ensures data integrity, consistency, and compliance with expected formats, making it essential for API development, data processing, and configuration management.

Key Features

Schema Compliance

Verify JSON data matches schema specifications

Error Detection

Identify validation errors with precise locations

Type Validation

Check data types, formats, and constraints

Schema Support

Support for JSON Schema Draft 7 and later

Detailed Reports

Comprehensive validation reports with suggestions

Real-time Validation

Instant validation as you type

Common Use Cases

API Development

  • β€’ Validate API request/response payloads
  • β€’ Ensure data contract compliance
  • β€’ Generate API documentation

Data Processing

  • β€’ Validate data before processing
  • β€’ Ensure data quality and consistency
  • β€’ Filter invalid records

Configuration Management

  • β€’ Validate configuration files
  • β€’ Ensure proper settings format
  • β€’ Prevent configuration errors

Data Validation

  • β€’ Validate user input forms
  • β€’ Check data integrity
  • β€’ Enforce business rules

Validation Examples

Example 1: User Profile Schema

JSON Schema:

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "minLength": 1
    },
    "email": {
      "type": "string",
      "format": "email"
    },
    "age": {
      "type": "integer",
      "minimum": 0,
      "maximum": 150
    }
  },
  "required": ["name", "email"]
}

Valid JSON Data:

{
  "name": "John Doe",
  "email": "john@example.com",
  "age": 30
}

Invalid JSON Data:

{
  "name": "",
  "email": "invalid-email",
  "age": -5
}

Example 2: API Response Schema

JSON Schema:

{
  "type": "object",
  "properties": {
    "status": {
      "type": "string",
      "enum": ["success", "error"]
    },
    "data": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {"type": "number"},
          "title": {"type": "string"}
        },
        "required": ["id", "title"]
      }
    }
  },
  "required": ["status"]
}

Valid Response:

{
  "status": "success",
  "data": [
    {"id": 1, "title": "First Item"},
    {"id": 2, "title": "Second Item"}
  ]
}

Frequently Asked Questions

What is JSON Schema?

JSON Schema is a vocabulary that allows you to annotate and validate JSON documents. It describes the structure, data types, and constraints that JSON data should follow, enabling automatic validation and documentation.

Which JSON Schema versions are supported?

Our validator supports JSON Schema Draft 7, Draft 2019-09, and Draft 2020-12. The tool automatically detects the schema version based on the $schema property or defaults to the latest supported version.

How do I handle validation errors?

Validation errors include detailed information about the location, expected value, and actual value. Use the error path to locate the problematic data and the error message to understand what needs to be fixed.

Can I validate nested objects and arrays?

Yes, JSON Schema supports complex nested structures. You can define schemas for nested objects using the "properties" keyword and for arrays using the "items" keyword with detailed validation rules.

What validation keywords are supported?

We support all standard JSON Schema keywords including type, properties, required, minimum, maximum, minLength, maxLength, pattern, format, enum, const, and many more for comprehensive validation.

Is my data secure when using this tool?

Yes, all validation is performed locally in your browser. Your JSON data and schemas are never sent to our servers, ensuring complete privacy and security of your sensitive information.