Generate realistic mock JSON data from JSON schemas for testing and development
Mock data generation creates realistic fake data based on JSON Schema definitions. It's useful for testing, development, and prototyping when you need sample data that matches your data structure.
The generator analyzes your JSON Schema and creates data that conforms to the defined types, constraints, and formats. It supports strings, numbers, booleans, arrays, objects, and various string formats like email, date, and UUID.
Access generation options through the settings panel. You can control array sizes, set a randomization seed for reproducible results, adjust the probability of optional properties being included, and choose whether to fill all properties or generate minimal data.
The generator supports basic types, object properties, arrays, string formats, enums, const values, minimum/maximum constraints, and composition keywords like anyOf and oneOf. Complex features like $ref are not currently supported.
Use the seed option in the settings panel to generate the same data every time. This is useful for consistent testing scenarios or when you need to recreate specific data sets.
Yes, adjust the array count to control how many items are generated in arrays, and use the optionals probability to control how often optional properties are included in generated objects.