Convert YAML to Python online, free. YAML is an indentation-based superset of JSON favoured for human-edited config. Python dataclasses model structured data with type hints and no third-party deps. YAML to Python conversion parses your YAML against the YAML 1.2.2 grammar (https://yaml.org/spec/1.2.2/), builds an in-memory model of its keys, nested objects and arrays, then emits ready-to-use Python types following the Python dataclasses 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 scripts & data pipelines, FastAPI/Flask models and type-hinted application code.
It maps the full structure of your YAML onto idiomatic Python types, following the Python dataclasses conventions. 100% free, no registration, and complete privacy — everything runs locally in your browser, so your data never touches a server.
Paste YAML and generate Python types from Python immediately. Conversion runs client-side, so there is no upload wait and large documents stay fast.
Nested YAML objects, tables and arrays are mapped faithfully onto Python, including nested types and optional fields.
Your YAML 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 YAML document and its Python equivalent:
YAML input:
label: web
replicas: 3
exposed: falseOutput:
from dataclasses import dataclass
@dataclass
class Service:
label: str
replicas: int
exposed: boolPaste your YAML into the editor and press "Convert to Python". The tool parses it against the YAML 1.2.2 grammar, then generates Python types following Python dataclasses conventions — instantly and entirely in your browser. You can validate or format the YAML first to be sure it is clean.
YAML anchors and aliases are expanded and comments are dropped before Python is produced, and indentation defines the structure. Note that YAML 1.1 treats words like "yes" and "no" as booleans, so quote them if you want strings.
Optional or nullable members in the generated Python are inferred from keys missing in some records of your YAML, following Python dataclasses. Include the optional fields in your sample so they are typed correctly.
YAML (YAML Ain't Markup Language) (YAML) — YAML is an indentation-based superset of JSON favoured for human-edited config. Python dataclasses (Python) — Python dataclasses model structured data with type hints and no third-party deps. This converter maps the structure of your YAML onto Python so you can use it for scripts & data pipelines.
Yes. Invalid YAML is flagged with a clear error before anything is converted. Common YAML problems to check are spaces (never tabs) for indentation, consistent indent levels, and no duplicate keys. Starting from clean input keeps the generated Python accurate.
Yes. The entire YAML-to-Python conversion runs locally in your browser in JavaScript — your YAML is never uploaded, logged or stored. That matters when the data is something like Kubernetes & Docker Compose manifests, which should not leave your machine.
The generated Python is ready for scripts & data pipelines, FastAPI/Flask models and type-hinted application code. Copy or download it and drop it straight into your codebase.
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