CSV to Pydantic model

Paste a CSV, get a Pydantic model. Nothing you paste is stored.

Paste a CSV and get a Pydantic v2 BaseModel for its rows: integers, decimals, booleans and ISO timestamps come out typed, and a column with empty cells becomes Optional. Handy for typing a csv.DictReader loop or a pandas ingest.

Inferred from the rows you paste, on the server, discarded after the response.

Try it on your own CSV

Example

CSV in:

sku,name,price,in_stock,created_at
A-100,Widget,9.99,true,2024-01-15T10:30:00Z
B-220,Gadget,19.5,false,2024-02-01T08:00:00Z
C-330,Doohickey,4.25,true,2024-03-11T14:45:00Z

Generated:

record_model.py

from datetime import datetime

from pydantic import BaseModel


class Record(BaseModel):
    id: int
    sku: str
    name: str
    price: float
    in_stock: bool
    created_at: datetime

Related

• CSV to SQL
• JSON to Pydantic
• JSON to Go