from dataclasses import dataclass
@dataclass
class Root:
id: int
name: str
email: str
active: bool
score: float
address: Address
tags: list[str]
orders: list[OrdersItem]
@dataclass
class OrdersItem:
id: int
total: float
@dataclass
class Address:
street: str
city: strFAQ
What output formats are supported?
Are nested objects handled?
Does it use snake_case?
About JSON to Python
What this tool does
Data converter tools transform structured data between JSON, CSV, YAML, XML, TOML, SQL, TypeScript interfaces, Go structs, and more. They handle nested objects, arrays, and type inference automatically.
Why use this tool
APIs return JSON, spreadsheets export CSV, infrastructure config uses YAML, and legacy systems speak XML. Being able to convert between these formats without writing a custom script saves hours of tedious data wrangling.
How it works
The tool parses your input format into an in-memory object tree, then serializes that tree into the target format. Type information (string, number, boolean) is inferred from values and mapped to the closest equivalent in the output format.
Pro tip
When converting CSV to JSON, the first row is treated as column headers by default. If your CSV has no headers, toggle that option off to get array-of-arrays output instead.
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