Fake Data Generator
Pick the fields you need below and this fake data generator builds as many rows of realistic, entirely made-up test records as you need.
About
About Fake Data Generator
A random data generator produces realistic-looking but completely fictional records, names, emails, addresses, phone numbers, for testing software without ever touching a real person's information. This fake data generator builds those records with internally consistent formatting, so a generated US address actually pairs a real-format zip code with a matching state rather than mismatched random fields.
Testing with production data carries real legal exposure, since using actual customer records outside their original purpose can run into GDPR, CCPA, or similar regulations depending on where your users are. A random data generator sidesteps that entirely, giving your test environment data that behaves exactly like the real thing without creating any privacy liability.
Good test data also needs to be internally consistent, not just individually plausible. A generated email that doesn't match the generated name, or a zip code that doesn't correspond to the generated city, can cause a test to pass when a real-world case involving related fields would have failed. This generator keeps related fields paired correctly.
Select the fields you need, names, emails, phone numbers, company names, or full addresses, and set how many rows to produce. A preview builds on screen immediately, and you can export the finished set as JSON for an API test or CSV for a quick database seed.
Everything runs through a randomization algorithm in your browser rather than a server, which means generating even a few thousand rows happens almost instantly, with no API rate limit or queue to wait on.
FAQ
Frequently asked questions
Why not just use real user data for testing?
Beyond the legal risk under laws like GDPR, there's also the practical risk of a test environment leaking real customer information through logs, screenshots, or a misconfigured staging server. Mock data removes that risk entirely while still exercising your code the same way.
What formats can I export the generated data in?
CSV, which is useful for seeding a database or opening in a spreadsheet, or JSON, which fits naturally into an API test or a frontend mock.
Is the generated data guaranteed to never repeat?
Not with absolute certainty on very large batches, a first or last name might repeat across thousands of rows just by chance. Combinations like a full name paired with its generated email are effectively always unique though.
Can I send a real email to one of the generated addresses?
You shouldn't try. The addresses follow valid formatting so they'll pass form validation in your own testing, but the domains they use aren't real, so any message sent to one will simply bounce.
Does this tool send anything to a server during generation?
No, the entire randomization process runs client-side in your browser, so there's nothing to log or rate-limit on a server.
Is there a practical limit on how many rows I can generate at once?
You can comfortably generate several thousand rows in one batch. Pushing well past that, tens of thousands of rows, can start to slow your browser down briefly while it compiles the export file.
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