Paste JSON and auto-generate a JSON Schema with type inference, required fields, and validation rules.
JSON Schema Generator converts a pasted JSON instance into a JSON Schema that describes the sample's observed structure. Values provide type information, nested objects become nested property definitions, and present object members inform required-field declarations and other validation rules. The important limitation is inference: one valid example shows what occurred, not everything the intended data contract permits. Optional properties, alternate representations, numeric bounds, string patterns, and relationships between fields may therefore require manual changes before the generated schema can serve as a dependable contract.
Each value in the pasted JSON supplies evidence for a corresponding schema section. Object member names become properties, nested objects retain their hierarchy, and primitive values supply types such as string, boolean, number, integer, or null. Array contents can provide evidence about allowed item shapes. The resulting schema describes the concrete structure demonstrated by the input.
A generated required declaration concerns whether a named property must be present in an object. It does not make a string nonempty, prohibit null, or establish a useful numeric range unless separate constraints express those conditions. Patterns, enumerated choices, conditional dependencies, uniqueness requirements, and business rules generally cannot be established from an ordinary JSON sample alone.
No. A property that is present in the only supplied object provides no evidence that omission is allowed. Review the generated required list and remove properties that the actual contract treats as optional. If the input contains several object examples, do not assume their differences are interpreted as optionality without checking the resulting schema.
Usually not without review. It is a useful structural draft, but sample JSON does not communicate intent such as identifier formats, maximum lengths, numeric limits, mutually dependent fields, or whether additional properties should be accepted. Test the schema against both valid and deliberately invalid instances, then add or revise constraints to match the real contract.
The behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
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