JSON Tools for AI Developers · Runs locally

For AI developers JSON Workbench

Natural language generation · Schema · Zod · OpenAPI · Function Calling · MCP · 30+ tools

JSON to code

After you have an API response, writing interface / struct by hand is slow and easy to miss fields.

Paste JSON, pick a language, click Generate code. Supports TS, JS, Python, Go, Rust, Java, Kotlin, Swift, C#, and PHP.

Inference only sees the sample. Nullable, unions, and date formats still follow the docs. Don't treat this as the final domain model.

Generation stays local. You don't have to redact a response before uploading it to a codegen site.

The language is only a wrapper

The same JSON, a different language — only syntax changes. The field set does not become complete because you picked Go. Missing fields stay missing.

How this differs from Zod

To code emits static types. Zod emits runtime validation. TypeScript projects often use both: types for the compiler, Zod at the boundary.

How to use it

  1. Paste a JSON object and pick a target language.
  2. Click Generate code.
  3. Make some fields optional per the docs and add comments.
  4. If nesting is deep, split into several types and generate again.
  5. Copy into the project. Use the Zod page if you need runtime checks.

When to use it

  • Generate a TypeScript interface from one response.
  • Draft a Go struct with json tags.
  • Start a Python dataclass / type hints.
  • Compare with OpenAPI: one doc, one repo type.

Keep in mind

  • Edit dates, decimals, and big integers to match the language.
  • Very deep nesting produces ugly anonymous types. Split the sample.
  • JSON is not uploaded.

FAQ

Does TypeScript get an interface?

Types are generated from the object shape. Use the Zod page for runtime validation.

Do Go structs get json tags?

Common fields include a json tag. Re-run naming to match your repo if needed.

What if nesting is very deep?

It expands when it can. Split into several samples if it gets too deep.

Is the JSON uploaded?

No.

Can it generate generics?

It follows the concrete sample and will not invent T. Edit wrapper types by hand.

What about Java / Kotlin naming?

Common camelCase conversion. Reformat if it disagrees with your Checkstyle.

How is this different from the Python Dict page?

The Dict page converts literals. This page generates type-definition code.

How do optional fields appear?

Keys that were not in the sample do not appear. Add optional fields to the sample, or edit after generate.

Related tools

JSON to Zod JSON Schema Python Dict convert Back to the Workbench →