Test Data Generator
Multilingual mock data generator supporting names, addresses, emails, and various export formats like JSON, CSV, SQL
About Fake 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
Name
Generate realistic first names, last names, and full names based on the selected locale.
Generate random email addresses with realistic usernames and common domains.
Phone Number
Generate phone numbers formatted according to the selected locale/country.
Address
Generate complete addresses including street, city, state/province, postal code, and country.
Common Use Cases
- Populate databases with test data for development
- Create realistic sample content for demos
- 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 entirely fictional and should not be used for any fraudulent purposes.
Best Practices
Match Your Target Audience's Region
Choose the appropriate locale for your target region. Names, addresses, and phone formats vary by country. Use Japanese names for Japanese users, US formats for US testing.
Use Reasonable Quantities
Generate appropriate amounts of test data. Use 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: extra-long names, special characters, empty optional fields. Generate multiple batches with different parameters.
Label Data as Test Data
When using fake data in test environments, add clear identifiers (like '[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 discover formatting issues and display bugs.
Export in Appropriate Format
Use JSON for API testing, CSV for database imports, SQL for direct database population. Choose the format that matches your import process.
Troubleshooting
Why aren't the generated names diverse enough?
Try generating multiple batches or increasing the quantity. Randomization ensures diversity with large sample sizes. Different locales also provide different name pools.
How do I ensure email addresses are unique?
The generator includes random strings in emails to ensure uniqueness. For large datasets requiring guaranteed uniqueness, export as CSV and check for duplicates, or add timestamps.
Can I customize the data format?
Select different output formats (JSON, CSV, SQL) from the dropdown menu. For custom formats, export as JSON and use your preferred tool or script for conversion.
Why do phone numbers look wrong for my country?
Phone number formats are locale-specific. Ensure you've selected the correct locale. Some regions may use placeholder formats representing typical patterns rather than valid numbers.