Test Data Generator
Generate realistic test data for development and testing
About Test Data Generator
This tool generates realistic test data for testing, development, and prototyping purposes. All data is randomly generated and does not represent real people or entities.
Available Data Types
Names
Generate realistic first names, last names, and full names based on the selected locale.
Emails
Generate random email addresses with realistic usernames and common domain names.
Phone Numbers
Generate phone numbers in the correct format for the selected locale/country.
Addresses
Generate complete addresses including street, city, state/province, postal code, and country.
Common Use Cases
- Populate databases with test data for development
- Create realistic demo content for presentations
- Test form validation and data processing
- Generate sample data for UI/UX prototypes
Privacy & Security
All data is generated locally in your browser. No data is sent to any server. The generated data is completely fictional and should not be used for any fraudulent purposes.
Best Practices
Match Locale to Target Audience
Select the appropriate locale for your target region. Names, addresses, and phone formats vary significantly by country. Japanese names for Japanese users, US formats for US testing.
Use Realistic Quantities
Generate appropriate amounts of test data. 10-100 records for UI testing, 1000+ for performance testing. Avoid generating more data than needed.
Include Edge Cases
Test data should include edge cases: very long names, special characters, empty optional fields. Generate multiple batches with different parameters.
Mark Data as Fake
When using fake data in staging environments, add a clear indicator (e.g., '[TEST]' prefix) to prevent confusion with real customer data.
Test Data Diversity
Generate diverse test data including different name lengths, email domains, and address formats. This helps catch formatting issues and display bugs.
Export in Appropriate Format
Use JSON for API testing, CSV for database imports, SQL for direct database seeding. Choose the format that matches your import process.
Troubleshooting
Why are generated names not diverse enough?
Try generating multiple batches or increasing the quantity. The randomization ensures variety over larger sample sizes. Different locales also provide different name pools.
How do I ensure unique email addresses?
The generator includes random strings in emails to ensure uniqueness. For guaranteed uniqueness in large datasets, export to CSV and check for duplicates, or add timestamps.
Can I customize the data format?
Select different output formats (JSON, CSV, SQL) from the dropdown. For custom formats, export as JSON and transform using your preferred tool or script.
Why do phone numbers look wrong for my country?
Phone number formats are locale-specific. Ensure you've selected the correct locale. Some locales may use placeholder formats that represent typical patterns rather than valid numbers.
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