Mockaroo generates realistic mock data in CSV, JSON, SQL, and Excel formats with a huge library of field types.
Mockaroo is the standard tool for synthetic test data. Design a schema with over 200 field types โ names, addresses, emails, dates, custom formulas โ and generate up to a million rows of realistic data in the format your system expects. It can generate scripts, mock REST APIs for prototyping, and save schemas for repeatable datasets. Developers use it to populate test environments without exposing production data.
Mockaroo’s field system is impressively deep: realistic addresses, industry-specific values, custom formulas, and nested structures cover most schema needs. The mock API feature doubles as a backend substitute during frontend development, serving generated data over REST endpoints.
QA teams standardize on Mockaroo datasets for regression fixtures, while developers use mock APIs to build frontends before backends exist. The breadth of realistic field types keeps test data believable enough to catch real bugs.
Mockaroo is free for limited row counts and saved schemas. Paid plans raise generation limits and add team features.
Developers, QA engineers, and data teams who need realistic test data quickly and safely.
Yes, with generation limits; paid plans increase volumes and saved schema counts.
Yes, Mockaroo can both generate data via API and serve mock APIs for application prototyping.
Faker libraries require scripting; Mockaroo provides a visual designer, more field types, and direct mock API hosting.
Yes, custom formulas and field definitions cover data shapes the built-in types don’t.
Paid plans generate up to millions of rows per export in the format you choose.
Yes, saved schemas regenerate identical-shaped datasets whenever needed.
Yes, arrays and nested objects are supported for complex data structures.
Synthetic data helps avoid exposing real personal data in test environments.
Yes, SQL export produces insert scripts ready for database seeding.
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