JSON to Python Dataclass
What is JSON to Python Dataclass?
JSON to Python Dataclass turns sample JSON into a practical starter artifact for API development. Generate Python dataclasses from JSON payloads.
Generated output is meant to accelerate scaffolding. Review naming, optional fields, validation rules, and framework-specific annotations before production use.
How to use JSON to Python Dataclass
Paste a representative JSON payload and run JSON to Python Dataclass. Copy the generated model, struct, class, dataclass, or mock definition into your codebase, then refine it for your project conventions.
Available actions
- Generate Dataclass
- Import JSON file
- Copy output
- Download output
- Create expiring JSON share link
- Collapse all
- Expand all
- Escape JSON string
- Unescape JSON string
- Generate sample JSON
- Simple sample
- Medium sample
- Complex sample
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- Find in editor
- Previous match
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- Replace all
- Close search panel
Example
Input
{"id":1,"name":"Ada","roles":["admin"],"active":true}Output
@dataclass
class Root:
id: int
name: str
roles: list[str]
active: boolFAQ
Is JSON to Python Dataclass production ready?
It is a starter generated from one sample. Review optional fields, exact numeric types, nullability, validation, and naming before shipping.
Does code generation run on a server?
No. JSONFather generates the output in your browser.
Can it handle nested JSON?
Yes. Nested objects and arrays are converted into nested model types where possible.