JSON Generator

Generate sample JSON data with customizable schemas and data types for testing and prototyping

Random Data

Multiple Types

Custom Schemas

Realistic Data

Generation Schema

Define the structure and rules for generating your JSON data

Generated Data

JSON data generated from your schema

Define a schema and generate data to see results here

📚 Data Types

Basic Types

string - Random text

number - Numeric values

boolean - True/false

date - Date values

uuid - Unique IDs

Realistic Data

person.name - Full names

internet.email - Email addresses

address.city - City names

company.name - Company names

commerce.product - Product names

Complex Types

array - Lists of items

object - Nested objects

enum - Predefined values

Related JSON Tools

JSON Minifier

Compress JSON by removing whitespace and formatting

JSON Beautifier

Format and beautify JSON with proper indentation

JSON Converter

Convert JSON to XML, CSV, YAML and other formats

JSON Schema Validator

Validate JSON data against a JSON schema

About JSON Generator

JSON Generator creates realistic sample data based on customizable schemas. Perfect for testing APIs, prototyping applications, and generating mock data.

Key Features

Random Data Generation

Generate realistic random data for various data types

Multiple Data Types

Support for strings, numbers, booleans, arrays, and objects

Custom Schemas

Define your own data structure and generation rules

Realistic Data

Generate data that resembles real-world scenarios

Bulk Generation

Generate multiple records at once for testing

Export Options

Download generated data in various formats

Supported Data Types

Basic Types

• String: Names, emails, addresses
• Number: Integers, floats, ranges
• Boolean: True/false values
• Date: Timestamps, formatted dates

Complex Types

• Array: Lists of any data type
• Object: Nested data structures
• UUID: Unique identifiers
• Enum: Predefined value sets

Realistic Data

• Person: Names, ages, profiles
• Address: Streets, cities, countries
• Company: Names, domains, industries
• Lorem: Placeholder text

Generation Examples

See how the JSON Generator creates different types of data

Example 1: User Profile Data

Schema:

{
  "type": "object",
  "count": 3,
  "properties": {
    "id": {"type": "uuid"},
    "name": {"type": "person.name"},
    "email": {"type": "internet.email"},
    "age": {"type": "number", "min": 18, "max": 65},
    "active": {"type": "boolean"}
  }
}

Generated Data:

[
  {
    "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
    "name": "Alice Johnson",
    "email": "alice.johnson@example.com",
    "age": 29,
    "active": true
  },
  {
    "id": "b2c3d4e5-f6g7-8901-bcde-f23456789012",
    "name": "Bob Smith",
    "email": "bob.smith@example.com",
    "age": 34,
    "active": false
  }
]

Example 2: Product Catalog

Schema:

{
  "type": "object",
  "count": 2,
  "properties": {
    "id": {"type": "number", "min": 1000, "max": 9999},
    "name": {"type": "commerce.product"},
    "price": {"type": "number", "min": 10, "max": 500, "decimals": 2},
    "category": {"type": "enum", "values": ["Electronics", "Clothing", "Books"]},
    "inStock": {"type": "boolean"},
    "tags": {"type": "array", "items": {"type": "string"}, "length": 3}
  }
}

Generated Data:

[
  {
    "id": 1234,
    "name": "Wireless Headphones",
    "price": 89.99,
    "category": "Electronics",
    "inStock": true,
    "tags": ["wireless", "audio", "portable"]
  },
  {
    "id": 5678,
    "name": "Cotton T-Shirt",
    "price": 24.50,
    "category": "Clothing",
    "inStock": false,
    "tags": ["cotton", "casual", "comfortable"]
  }
]

Frequently Asked Questions

How do I define a custom schema?

You can define a schema using JSON format that specifies the data structure, types, constraints, and generation rules. The schema supports nested objects, arrays, and various data type configurations.

What data types are supported?

The generator supports basic types (string, number, boolean, date), complex types (object, array, enum), and realistic data types (person names, addresses, emails, company names, lorem text, and more).

Can I generate multiple records at once?

Yes, you can specify a count parameter in your schema to generate multiple records. The tool can generate hundreds or thousands of records efficiently for bulk testing.

How realistic is the generated data?

The generator uses realistic data sources and patterns to create believable test data. Names, addresses, emails, and other data types follow real-world formats and distributions.

Can I control the randomness?

Yes, you can set constraints like min/max values for numbers, length ranges for strings, specific value sets for enums, and array length limits to control the generated data.

What export formats are available?

Generated data can be exported as JSON, CSV, or copied to clipboard. You can also download the schema definition for reuse in future generations.