Convert TOML to Pydantic online, free. TOML is a readable configuration format built around key/value pairs and tables. Pydantic BaseModels validate and parse data into typed Python objects. TOML to Pydantic conversion parses your TOML against the TOML v1.0.0 grammar (https://toml.io/en/v1.0.0), builds an in-memory model of its keys, nested objects and arrays, then emits ready-to-use Pydantic types as Pydantic BaseModel classes with typed fields following the Pydantic docs conventions. Processing runs in your browser in JavaScript with no upload or server round-trip — no size limit beyond your device's memory, so multi-megabyte documents convert in milliseconds and sensitive payloads never leave your machine. Typical uses include FastAPI request/response models, settings validation and ETL parsing.
It maps the full structure of your TOML onto idiomatic Pydantic types, following the Pydantic docs conventions. 100% free, no registration, and complete privacy — everything runs locally in your browser, so your data never touches a server.
Paste TOML and generate Pydantic types from Pydantic immediately. Conversion runs client-side, so there is no upload wait and large documents stay fast.
Nested TOML objects, tables and arrays are mapped faithfully onto Pydantic, including nested types and optional fields.
Your TOML never leaves your device — everything is processed locally in JavaScript, with nothing logged or stored.
Unlimited conversions with no account, no quotas, and no watermark. Works on desktop and mobile.
A TOML document and its Pydantic equivalent:
TOML input:
host = "db.internal"
port = 5432
secure = trueOutput:
from pydantic import BaseModel
class Server(BaseModel):
host: str
port: int
secure: boolPaste your TOML into the editor and press "Convert to Pydantic". The tool parses it against the TOML v1.0.0 grammar, then generates Pydantic types following Pydantic docs conventions — instantly and entirely in your browser. You can validate or format the TOML first to be sure it is clean.
TOML values are typed and it has first-class dates and times, so they carry into Pydantic cleanly. TOML tables become nested Pydantic types, and arrays-of-tables become lists.
Optional or nullable members in the generated Pydantic are inferred from keys missing in some records of your TOML, following Pydantic docs. Include the optional fields in your sample so they are typed correctly.
TOML (Tom's Obvious Minimal Language) (TOML) — TOML is a readable configuration format built around key/value pairs and tables. Pydantic models (Pydantic) — Pydantic BaseModels validate and parse data into typed Python objects. This converter maps the structure of your TOML onto Pydantic so you can use it for FastAPI request/response models.
Yes. Invalid TOML is flagged with a clear error before anything is converted. Common TOML problems to check are correct key/value pairs, quoted strings, and valid [table] headers. Starting from clean input keeps the generated Pydantic accurate.
Yes. The entire TOML-to-Pydantic conversion runs locally in your browser in JavaScript — your TOML is never uploaded, logged or stored. That matters when the data is something like Rust Cargo & Python pyproject config, which should not leave your machine.
The generated Pydantic is ready for FastAPI request/response models, settings validation and ETL parsing. Copy or download it and drop it straight into your codebase.
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