Multi-Language Model Generator

Convert JSON to programming language models and types with advanced code generation

JSON Input

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How it works

  • Paste or type your JSON data in the editor above
  • Select your target programming language
  • Configure generation options
  • Get strongly-typed models instantly

Configuration

How to Use the Advanced JSON to Type and Class Generator and Model Generator

Step-by-step guide to effectively utilize the Advance Json to type Generator And Model Generator.

1

Paste Your JSON

Paste your JSON data into the editor or type it manually. The tool supports any valid JSON structure, including nested objects and arrays.

{ "id": 1, "name": "John", "emails": ["john@example.com"] }
2

Select Target Language

Choose your desired output language from TypeScript, Python, Go, Java, C#, Rust, or others. Configure naming conventions, optional field handling, and language-specific features.

Language: TypeScript | Style: PascalCase | Optional: ? syntax
3

Generate and Customize Models

Click Generate to create your typed models. The tool generates separate interfaces or classes for nested objects, handles arrays correctly, and maintains relationships between types.

interface User { id: number; name: string; emails: string[]; }
4

Enable Advanced Options (Optional)

Customize your models by enabling features like: Generate Constructor Generate Getters/Setters Use Optional Types Generate JSON Serialization

export class User { id: number; name: string; emails?: string[]; constructor(id: number, name: string, emails?: string[]) { this.id = id; this.name = name; this.emails = emails; } getId() { return this.id; } getName() { return this.name; } getEmails() { return this.emails; } setId(id: number) { this.id = id; } setName(name: string) { this.name = name; } setEmails(emails: string[]) { this.emails = emails; } toJSON() { return { id: this.id, name: this.name, emails: this.emails }; } static fromJSON(json: any) { return new User(json.id, json.name, json.emails); } }
5

Copy and Implement

Copy the generated code to your project. The output includes all necessary imports, type definitions, and follows best practices for your chosen language and framework.

// Copy to your TypeScript project export interface UserResponse { id: number; name: string; emails: string[]; }

💡 Pro Tip

Use a representative sample that includes all possible fields.

Advanced JSON to Type and Class Generator Use Cases

Discover how developers across different domains use our Advanced Json to Type and Class Generator tool.

Api Developers

  • Create TypeScript interfaces from API responses
  • Generate Python models for FastAPI projects
  • Convert OpenAPI JSON schemas to language-specific types
  • Build Go structs for JSON data in microservices
  • Make data transfer objects from API documentation

Frontend Developers

  • Type API responses to catch errors early
  • Create form validation schemas from JSON
  • Generate Redux action and state types
  • Convert GraphQL schema types to TypeScript interfaces
  • Build component props from JSON design data

Backend Developers

  • Create database model classes from JSON files
  • Generate message queue payload types for events
  • Convert third-party API JSON to typed models
  • Build configuration object types for app settings
  • Make test data factories with proper typing from JSON

🚀 Why Use This Tool?

Save hours of manual work, reduce errors, and ensure consistency.

FAQ

Frequently Asked Questions

Get answers to common questions about the Json to Type and Class Generator

We support TypeScript interfaces, Python dataclasses/Pydantic models, Go structs, Java classes, C# classes, Rust structs, Kotlin data classes, and Swift structs. Each output includes proper typing, optional fields, and language-specific conventions.

It automatically creates nested models for every level of your JSON, keeping the hierarchy intact. Nested objects and arrays are converted into strongly typed classes or interfaces.

Yes! You can choose options like generate constructors, getters/setters, optional types, and JSON serialization, and the tool also allows camelCase or snake_case naming conventions.

Yes, the tool detects invalid JSON and gives clear error messages, helping you fix formatting issues before generating models.

It’s perfect for API developers, frontend developers, and backend developers. Use it to create TypeScript interfaces, Python Pydantic models, Kotlin or Dart classes, database models, or configuration objects.

The tool identifies mixed or union types and generates flexible models using optional or union types in your chosen programming language.