Sample Data Generator
Generate realistic sample data for testing, development, and prototyping. Customize fields, format, and quantity to meet your needs.
Data Configuration
Configure the data fields and format for your sample data
How It Works
This Sample Data Generator creates realistic test data for your applications, databases, and testing scenarios. You can choose from various data types and customize the output format:
- Data Types: Choose from names, addresses, phone numbers, emails, dates, numbers, and more
- Quantity: Specify how many records you want to generate (up to 1000 at once)
- Format: Select between JSON, CSV, or plain text output formats
- Localization: Generate data appropriate for different regions and languages
- Custom Fields: Mix and match different data types to create complex record structures
Supported Data Types
| Data Type | Description | Example |
|---|---|---|
| First Name | Random first names | John, Sarah, Michael |
| Last Name | Random last names | Smith, Johnson, Williams |
| Full Name | Complete names | John Smith, Sarah Johnson |
| Valid email addresses | john.smith@example.com | |
| Phone | Phone numbers | +1-555-123-4567 |
| Address | Street addresses | 123 Main St, Anytown, ST 12345 |
| Company | Company names | Tech Solutions Inc, ABC Corp |
| Date | Random dates | 2023-05-15, 1990-12-03 |
| Number | Random numbers | 42, 1337, 999 |
| Boolean | True/false values | true, false |
| UUID | Unique identifiers | 550e8400-e29b-41d4-a716-446655440000 |
Use Cases
- Database Testing: Populate test databases with realistic data for development and testing
- API Testing: Generate sample data for API endpoints and integration testing
- UI/UX Design: Create mockups and prototypes with realistic content
- Performance Testing: Generate large datasets to test application performance
- Demo Data: Create sample data for product demonstrations and presentations
- Development: Quickly generate test data during application development
Export Formats
- JSON: Structured data format perfect for APIs and web applications
- CSV: Comma-separated values for spreadsheets and database imports
- SQL: INSERT statements ready for database insertion
- Plain Text: Simple text format for basic use cases