Build a schema with realistic field types and generate up to 1,000 records of believable test data — names, emails, dates, UUIDs, and more.
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A JSON data generator creates realistic fake datasets from a schema definition. Instead of hand-crafting test records or using placeholder data like "foo", "bar", and 12345, a good generator produces data that looks and behaves like real production data — proper names, valid email formats, realistic date ranges, properly distributed numbers, and semantically consistent enums.
RealJSON's generator runs entirely in your browser. Define your schema fields, choose a count, and generate up to 1,000 JSON records in milliseconds. Download them as a .json file or copy directly to clipboard for use in tests, demos, database seeds, or API mocking.
Populate a development or staging database with realistic-looking records instead of "test1", "test2" placeholder data that makes bugs hard to spot visually.
Paste generated JSON into a mock server or JSON file to simulate real API responses during frontend development.
Show clients or stakeholders a prototype populated with believable data rather than obvious fakes.
Generate large datasets (up to 1,000 records) to test how your UI handles pagination, scrolling, and large list rendering.
Create fixture files for unit and integration tests that cover diverse input scenarios — different ages, countries, statuses, and date ranges.
Once you've generated data, use the Mock API Sandbox to serve it over simulated REST endpoints with full CRUD state. To test how your system handles edge cases in the generated data, run it through the JSON Chaos Injector.
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