Turn a real JSON response into typed models
Name the root model, choose TypeScript, and generate nested interfaces with field types inferred from the sample structure.
JSON to Code infers nested objects, arrays, optional fields, and primitive types from a sample, then emits Swift Codable, TypeScript, Go, or Kotlin models. Keep the original schema visible, name the root type, and copy or save the generated source.
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Generate Swift, TypeScript, Go, or Kotlin models.
Infer nested objects, arrays, and optional fields.
Choose a meaningful root model name.
Keep source JSON and generated code side by side.
Copy the result or save it with the correct file extension.
The same Northstar schema proves TypeScript generation, source review, and Swift Codable output with a deliberate root name.
Name the root model, choose TypeScript, and generate nested interfaces with field types inferred from the sample structure.
Nested objects, arrays, booleans, and date-shaped strings remain readable in the source while you review the generated result.
Generate Swift, TypeScript, Go, or Kotlin from the same JSON and save or copy the model in the target language's native file format.
The practical details that make this job faster, clearer, or safer than doing it by hand.
The sample remains beside the output so every generated field can be traced back to real data.
Objects inside objects and object arrays become named supporting types rather than loose dictionaries.
Switch target language without rebuilding the input or losing the chosen root name.
Paste a representative JSON sample.
Choose the target language and root name.
Generate and compare source with output.
Copy or save the typed model.
No. It works from a JSON sample.