JSON to Pydantic v2 Model
Python / FastAPI
Compile sample JSON payloads into typed Python pydantic.BaseModel schemas with PEP 8 Field(alias=...) mapping and rich scalar validation.
About This Tool
FastAPI, Litestar, and modern Python data pipelines rely on Pydantic BaseModel classes to validate incoming JSON payloads. Writing nested models and Field(alias="...") annotations by hand for large camelCase REST responses slows down API integration.
This generator inspects JSON objects or arrays of objects, infers nested child models bottom-up, maps non-Pythonic keys to PEP 8 snake_case attributes, and detects standard library UUID and ISO 8601 datetime strings automatically.
Key Features
- Pydantic v2 ConfigDict Support: Emits populate_by_name=True in ConfigDict whenever camelCase or hyphenated JSON keys require Field aliases.
- Smart Format Inference: Recognizes UUIDs, ISO 8601 timestamps, dates, EmailStr, and HttpUrl values and generates exact imports.
- Multi-Sample Array Merging: Merges fields across JSON arrays and marks keys that appear conditionally or hold null values as optional.