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Generate realistic mock JSON data from JSON Schema definitions. Supports nested objects, arrays, enums, and custom formats.
JSON Schema Faker generates realistic mock JSON data from a JSON Schema definition. Instead of manually creating test data, you define the structure with a schema and this tool produces sample data that matches your specification.
It supports all JSON Schema draft versions (draft-04 through 2020-12), nested objects, arrays with min/max items, enums, string formats (email, date, uuid, uri, ipv4, ipv6, etc.), numbers with minimum/maximum, and booleans. The generated data is deterministic but randomized — useful for testing, prototyping, and demos.
The tool supports string/ number/ integer/ boolean/ array/ object types, nested properties, required fields, enums, string formats (email, date, date-time, uuid, uri, hostname, ipv4, ipv6, json-pointer), minimum/maximum for numbers, minLength/maxLength for strings, minItems/maxItems for arrays, pattern properties, additionalProperties, and $defs/definitions references.
The data uses a random seed for variety, but values are constrained by your schema constraints. Strings with format specifications (like "email" or "date") produce format-valid values. Enums randomly select from the defined values. Numbers respect minimum/maximum boundaries.
The JSON Schema Generator creates a JSON Schema from existing JSON data. This tool (JSON Schema Faker) does the reverse — it generates mock JSON data from a JSON Schema. They are complementary tools: use the Generator to create schemas from data, then use the Faker to produce test data from schemas.
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