JSON Schema Generator Online

Paste a JSON sample and generate a copy-ready JSON Schema. The tool runs locally in your browser, so private API payloads and config snippets stay on your device.

0 characters

When This Generator Helps

JSON Schema is useful when you need a clear contract for API requests, webhook payloads, app configuration, or exported data. This generator inspects your sample JSON and creates a starting schema with object properties, required fields, array item types, and primitive value types.

The output is designed as a practical draft, not a final business rule document. Review the schema before relying on it for production validation, especially when a field can be optional, nullable, constrained to specific values, or matched to a format such as email, URI, UUID, or date-time.

Practical Examples

API response contract

Paste a real API response when you want a starting contract for frontend validation, SDK tests, or webhook documentation. For example, a response with id, status, items, and createdAt fields will produce object properties, required keys, array item schemas, and common string formats.

Configuration validation draft

Use a sample config object to create a first validation draft for app settings, feature flags, or deployment options. After generation, review which fields should be optional, whether unknown properties are allowed, and whether numbers need ranges or strings need enum values.

Related JSON Tools

FAQ

Does the tool upload my JSON?
No. Schema generation happens in your browser. The page does not send your pasted JSON to an API.
Why does the schema mark every object key as required?
A single JSON sample only shows fields that are present. The generator treats those fields as required so the result is explicit. Remove fields from the required array if they are optional in real data.
How are mixed arrays represented?
If sample array items have different types, the output uses anyOf. If array items are similar objects, the generator merges their properties and marks only fields found in every sample item as required.
Can the generator infer string formats?
It detects common string patterns such as email, URI, UUID, date, and date-time. You should still review those guesses against your own validation rules.
What should I check before using the schema?
Confirm optional fields, nullable values, number ranges, string length limits, allowed enum values, and whether additional unknown properties should be accepted.