The generator builds one language-neutral model from the JSON sample, then emits TypeScript, Go, or Python from that same model. Paths that need judgment—such as optional, nullable, mixed, or unknown values—are listed beside the output.
Generated types describe only the values that appear in the pasted JSON. Empty arrays and null-only fields remain unknown instead of receiving invented precision. Use JSON Schema or runtime validation when you need enforceable input rules.
Parsing, inference, and code generation run in the browser. The pasted JSON and generated code are not uploaded by this tool.
Common questions and answers about this topic.
Comparing object samples lets the generator identify fields that are absent in some records and mark them optional. Nested arrays remain arrays in the generated type.
A null-only value or an array that is always empty does not reveal a concrete type. The generator uses each language's safe fallback and lists the path in inference evidence.
No. The output is a development starting point inferred from examples. It does not validate future inputs, enforce ranges or formats, or prove that every optional field has been observed.