JSON to Code Generator
Transform your JSON data into strongly-typed code for TypeScript, Go, Rust, Kotlin, C#, and Python. Automatically infer types, handle nested structures, and generate production-ready code with customizable options.
Options
Stop Writing Boilerplate. Generate It.
You get an API response. Now you need types. You could write them manually—carefully transcribing each field, figuring out whether things are optional, handling nested objects. Or you could paste the JSON here and get production-ready code in seconds.
This isn't a toy that spits out generic types. The generator understands each language's conventions. TypeScript gets interfaces with proper optionals. Go gets structs with json tags. Rust gets serde-compatible types with Option for nullable fields. The output follows the idioms you'd write yourself—just faster.
Supported Languages & Features
- TypeScript: Generate interfaces or types with optional fields, nullable types, and export declarations
- Go: Create structs with JSON tags, pointer types for optional fields, and custom package names
- Rust: Build structs with derive macros (Debug, Serialize, Deserialize), serde annotations, and Option types
- Kotlin: Generate data classes with serialization support (kotlinx.serialization or Gson), nullable types
- C#: Produce classes or records with JSON attributes, nullable reference types, and custom namespaces
- Python: Create dataclasses or Pydantic models with type hints and optional fields
Common Use Cases
- Grab an API response sample and turn it into TypeScript interfaces for your frontend
- Convert configuration examples into Go structs for backend services
- Build Rust data models from JSON payloads with full serde support
- Create Kotlin data classes for Android development from API specs
- Generate C# DTOs for .NET applications based on actual data samples
- Produce Python dataclasses for data processing scripts from file formats
Smart Type Inference
The generator doesn't just look at one value. It analyzes your entire JSON structure. Arrays with mixed content? It merges the types intelligently. Fields that might be missing? Marked as optional. Nested objects? Extracted as separate types with proper references. It handles the edge cases so you don't have to think about them.
Frequently Asked Questions
How does type inference work?
The tool walks through your JSON recursively. For each value, it determines the type. Objects become complex types. Arrays get analyzed—if all items match, you get a typed array; if they differ, types get merged. Fields that could be null or missing get marked as optional using language-appropriate syntax.
Can I customize naming conventions?
Absolutely. Pick camelCase, PascalCase, snake_case, or kebab-case from the options. The generator converts all your property names to match while keeping the JSON field mappings correct through tags or annotations. So your code looks idiomatic but still deserializes correctly.
What about nested objects?
Nested structures get extracted automatically. Instead of one giant type with everything inline, you get a clean hierarchy. Each nested object becomes its own type definition, properly named and referenced. The result is more maintainable code that's easier to understand and reuse.
Are the generated types production-ready?
They're a solid starting point. The code follows best practices and includes serialization annotations. But real-world APIs have quirks—extra validation, custom serializers, business logic. Use the generated code as a foundation, then refine it based on your specific needs. It beats typing everything from scratch.
How do I handle API versioning?
Generate types for each version separately. Organize them using namespaces (C#), packages (Go), modules (Rust/Python), or different files (TypeScript). Consider marking deprecated fields as optional when migrating between versions. The generator makes it easy to maintain multiple versions without manually syncing changes.