Automatically generate JSON Schema definitions from JSON data structures for data validation and API documentation.
When your JSON data structures are complex and deeply nested, manually writing a Schema is both time-consuming and error-prone. This tool automatically parses the input JSON object or array, infers its data types, property structures, and nested relationships, and outputs a definition document that complies with the JSON Schema Draft 7 standard. JSON Schema is a declarative format used to describe and validate JSON data structures, ensuring data consistency through type definitions, property constraints, and required field declarations.
Can JSON Schema validate email formats?
Yes. When the input JSON contains a string resembling an email address, the tool automatically adds the "format": "email" validation field.
How does the tool handle empty arrays or empty objects?
An empty array generates "items": {}, representing items of any type; an empty object only declares "type": "object", and property definitions must be added manually.
The input must be a valid JSON string. Complex validation rules (such as numerical ranges or regex patterns) need to be added manually. The generated list of required fields is inferred based on their presence in the sample data, so please adjust it according to your actual needs.
We recommend using representative data to generate a base Schema first, then manually adding constraints like minimum or pattern. For example, after generating a user object, you can add a "minimum": 18 validation rule to the age field. When used in conjunction with OpenAPI, the generated Schema can be directly embedded to define API response structures.
