JSON → Pydantic Model Generatorv1 & v2

Instantly generate typed Pydantic models from any JSON - with nested classes, Optional fields, snake_case aliases, and full v1/v2 support.

Sample JSON presets:

Root class name:

Pydantic:

Field names:

All Optionalmodel_config / Config

JSON Input

Pydantic Model (v2)

from pydantic import BaseModel
from typing import Optional, List, Any

class Address(BaseModel):
    street: str
    city: str
    zip_code: str
    country: str


class UserProfile(BaseModel):
    id: int
    username: str
    email: str
    is_active: bool
    score: float
    bio: Optional[Any] = None
    tags: List[str]
    address: Address

2 classes12 fieldsOptional fieldsList typesNested models

JSON → Python Type Mapping

JSON Value	JSON Example	Python Type	Notes
String	"hello"	str	-
Integer	42	int	No decimal point
Float	3.14	float	Has decimal point
Boolean	true / false	bool	Mapped to Python True/False
Null	null	Optional[Any] = None	Field becomes Optional
Object	{"key": "val"}	NestedModel	Generates a new BaseModel subclass
Array (uniform)	["a", "b"]	List[str]	Type inferred from first element
Array (mixed)	[1, "x", true]	List[Any]	Heterogeneous array → Any
Empty array	[]	List[Any]	Cannot infer element type

FAQ

Frequently Asked Questions

Everything you need to know about this tool

Pydantic v2 (released 2023) is a complete rewrite in Rust, offering 5-50x faster validation. Key differences: v2 uses `model_config = ConfigDict(...)` instead of `class Config`, `model_validator` instead of `root_validator`, and `model_dump()` instead of `.dict()`. v2 is now the recommended choice for all new projects.

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