Why use fake data?
Using real personal information in test systems is risky and, under privacy laws like the GDPR and various US state laws, may not be allowed. Realistic fake data lets developers, testers and designers see how an app handles names, addresses and numbers without exposing anyone.
What makes this data safe
- Phone numbers use 555-0100 to 555-0199, set aside in North America for fictional use.
- Emails use example.com, reserved by internet standards for documentation and testing.
- Addresses combine random house numbers and common street names; they are not real locations.
- Nothing is stored: data is generated in your browser.
Common uses
- Seeding a development database
- Filling forms during QA testing
- Realistic screenshots for app stores and pitch decks
- Teaching spreadsheets, SQL or data cleaning
Need just names? Try the random name generator. Need unique IDs? Use the UUID generator.
Last reviewed October 2026.
Frequently asked questions
What is a fake name generator for?
It creates realistic-looking but fictional people for testing software, filling in database and form mockups, demo screenshots, design prototypes and training materials, so you never have to use real customer data.
Are these real people?
No. Names are randomly combined, street numbers are random, phone numbers use the 555-01xx range reserved for fiction, and every email uses example.com, a domain reserved for documentation that never delivers mail.
Can I download the data?
Yes. Generate up to 100 people and download them as CSV or JSON, ready to import into spreadsheets, databases or test fixtures.
Can I use fake identities to sign up for services?
You should not use generated details to deceive anyone, avoid verification, or commit fraud. This tool is meant for testing, design and education.
Do the city and ZIP code match?
Each city is paired with its state and a ZIP code that starts with a prefix used in that area, which looks realistic for testing. Full addresses are not real, deliverable locations.