JSON to CodeDeveloper & Data

Turn a representative JSON response into typed models you can review beside it.

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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What it does

Generate reviewable typed models from real JSON samples across four target languages.

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.

Sample to typed model

Keep the API response beside the code inferred from it.

The same Northstar schema proves TypeScript generation, source review, and Swift Codable output with a deliberate root name.

01

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.

02

Keep the source schema visible while reviewing inference

Nested objects, arrays, booleans, and date-shaped strings remain readable in the source while you review the generated result.

03

Switch to Swift Codable without rebuilding the sample

Generate Swift, TypeScript, Go, or Kotlin from the same JSON and save or copy the model in the target language's native file format.

Why it belongs

Why JSON to Code earns a place in the toolbox.

The practical details that make this job faster, clearer, or safer than doing it by hand.

Inference stays inspectable

The sample remains beside the output so every generated field can be traced back to real data.

Nested models are generated together

Objects inside objects and object arrays become named supporting types rather than loose dictionaries.

One sample, four ecosystems

Switch target language without rebuilding the input or losing the chosen root name.

How to use it

From opening the tool to saving the result.

  1. 01

    Paste a representative JSON sample.

  2. 02

    Choose the target language and root name.

  3. 03

    Generate and compare source with output.

  4. 04

    Copy or save the typed model.

Questions

Before you try JSON to Code

Does it need a schema file?

No. It works from a JSON sample.

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