TypeScript → Pydantic (in-browser)

This in-browser tool parses TypeScript interface and simple type aliases and generates equivalent Pydantic models (Python BaseModel). It maps basic types as follows:

• string → str
• number → float (or int with strict mode)
• boolean → bool
• Type[] / Array<Type> → List[Type]
• union with null or undefined → Optional[... ]
• nested interfaces → nested Pydantic models

Because TypeScript allows more flexible typing (union types, mapped types, generics), this tool handles the most common patterns and provides an editable result you can tweak for edge cases.

Input

interface Product {
  sku: string;
  price: number;
  tags?: string[];
  metadata: Record;
}

Output

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

class Product(BaseModel):
    sku: str
    price: float
    tags: Optional[List[str]] = None
    metadata: Dict[str, Any]

Why use an in-browser converter?

An in-browser converter keeps your types private (no server upload), works offline, and gives instant feedback. It's perfect for prototypes, documentation generation, or learning how TypeScript maps to Pydantic.

SEO-friendly longform: How to migrate TypeScript interfaces to Pydantic models

Introduction. Many modern backends use Python (FastAPI, Flask) with Pydantic models for request/response validation, while frontend codebases use TypeScript interfaces. Keeping both in sync manually is error-prone. This converter reduces friction by creating an initial Pydantic model from a TypeScript interface.

Step-by-step migration strategy

1. Gather canonical TypeScript interfaces from your frontend repository.
2. Paste them into the converter to generate initial Pydantic models.
3. Review and adjust field types and validation constraints (e.g. use constr, Field(..., gt=0)).
4. Integrate generated models into your backend and write tests that assert JSON compatibility.

SEO keywords & intent

This page targets keywords such as TypeScript to Pydantic, interface to pydantic, ts to pydantic converter. Content focuses on developer intent: migration, validation, synchronization, and automation.

Content length & authority

To rank well, expand this page with real-world examples, GitHub repo links (tutorials), a downloadable CLI version, and a changelog. Add structured data (JSON-LD) and an FAQ section to appear in search rich results.