Mock Data Generator

What is mock data and when should you use it?

Mock data (also called fake, dummy, or synthetic data) is realistic-looking but entirely invented data used to develop and test software without touching real user records. Typical uses: seeding a development database, populating UI prototypes so layouts are judged with plausible names and addresses instead of "test test", load-testing an API with 1,000 varied records, and writing reproducible unit tests. Using invented data instead of production copies also keeps you clear of GDPR and similar privacy obligations — there is no personal data to leak.

This generator builds each row from embedded word lists — 50 first names, 50 last names, 20 cities and countries, 15 companies and job titles — combined per row so related fields stay consistent: a row's email is derived from the same first and last name that appear in its name column. Numbers, dates, and booleans are drawn uniformly from the ranges you set.

Why seeded (reproducible) random data matters

Enter any text in the seed field and the generator switches to a deterministic pseudo-random number generator (mulberry32): the same seed, columns, and row count always produce byte-for-byte identical output. That makes test fixtures stable across your team — a colleague entering seed demo-42 gets exactly your dataset — and lets bug reports reference reproducible data. Leave the seed empty for fresh random data on every click.

❓Mock Data Generator FAQ