JSON Schema Generator
How it works
Detects string, number, integer, boolean, null, array, and object types automatically.
Recursively generates schemas for deeply nested objects and arrays of objects.
Handles arrays with mixed types using anyOf. Detects homogeneous arrays for cleaner schemas.
Handles empty arrays, null values, and distinguishes between integer and floating-point numbers.
What This Tool Does
JSON Schema Generator is built for deterministic developer and agent workflows.
Generate JSON Schema from example JSON. Essential for AI function calling, structured output, and API validation.
Use How to Use for execution steps and FAQ for constraints, policies, and edge cases.
Last updated:
This tool is provided as-is for convenience. Output should be verified before use in any production or critical context.
Agent Invocation
Best Path For Builders
Dedicated API endpoint
Deterministic outputs, machine-safe contracts, and production-ready examples.
Dedicated API
https://aidevhub.io/api/json-schema-generator/ OpenAPI: https://aidevhub.io/api/openapi.yaml
Unified Runtime API
https://aidevhub.io/api/tools/run/?toolId=json-schema-generator&a=...
GET and POST are supported at /api/tools/run/ with identical validation and limits.
Limit: req / s, input max 256 KB.
REST API
Base URL
https://aidevhub.io/api/schema-generator/ 50 requests/day per IP. No authentication required. CORS enabled. OpenAPI spec
Endpoints
Example
curl -X POST https://aidevhub.io/api/schema-generator/ -H "Content-Type: application/json" -d '{"example": "{\"name\": \"Alice\", \"age\": 30}"}' Example Response
{
"schema": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"age": {
"type": "integer"
}
},
"required": [
"name",
"age"
]
}
} How to Use JSON Schema Generator
- 1
Provide example JSON
Paste one or more representative JSON objects. The tool analyzes the structure and infers types. Include examples showing all possible property types you want to allow.
- 2
Review generated schema
The tool generates a JSON Schema (Draft 7 or later). Check that all properties are present, types are correct (string, number, boolean, object, array), and array items are properly typed.
- 3
Add constraints and validation
Manually edit the schema to add minLength, maxLength, pattern (regex), enum values, minimum, maximum, required fields, and description fields for documentation.
- 4
Validate against your data
Use the schema with a validator library (e.g., Ajv in Node.js) to validate incoming data. Test with both valid and invalid examples to ensure the schema catches errors correctly.