Fake Data Generator
Generate realistic fake data for testing and development — names, addresses, emails, phone numbers, companies, and more.
About Fake Test Data Generation
When developing or testing applications that handle personal data, you need realistic-looking test data that isn't real. Using actual personal data in development environments violates privacy regulations (GDPR, UK Data Protection Act) and creates data breach risks. Fake test data generators produce structurally valid but entirely fictional records that behave like real data without the risk.
Why use fake data?
- GDPR compliance — Personal data must not be used in non-production environments without explicit consent and appropriate safeguards. Synthetic data avoids this requirement entirely.
- Safe database seeding — Populate development and staging databases with realistic records without exposing real customer data to developers or testers.
- UI testing — Test how your interface handles different name lengths, edge cases (long addresses, special characters), and edge-case values.
- Load and performance testing — Generate large volumes of varied data to benchmark database queries and API performance.
- Demo environments — Populate a demo instance with plausible data for sales demos and training.
Output formats
- Table — Visual preview in the browser
- JSON — For use in code, API mocking, or configuration files
- CSV — For import into spreadsheets, databases, or BI tools
- SQL — Ready-to-run INSERT statements for database seeding
All generation happens in your browser — no data is sent to or stored on the server.
Frequently asked questions
Can I use this data in production?
No. This tool generates realistic-looking but entirely fictitious data for use in development, testing, demos, and prototyping only. Never use fake data in production databases or with real systems.
What formats can I export to?
You can copy the generated data as JSON, CSV, or SQL INSERT statements.