- Paste your JSON data or click Load Demo to try with sample data
- Select your target programming language from the dropdown
- The code is generated instantly as you type
- Copy the generated code or download as a file
- Use the generated types in your project
How does the tool handle nested objects?
The generator creates separate type definitions for each nested object. For example, if your JSON has an address object inside a user object, it will create both User and Address types with proper references.
What about arrays of objects?
Arrays of objects are handled by creating a type for the array items. The tool analyzes the first item to determine the structure and generates appropriate array types like User[] in TypeScript or []User in Go.
Does it support nullable types?
Yes, null values in JSON are converted to appropriate nullable types for each language - null in TypeScript, *Type or interface{} in Go, Optional in Python, and nullable reference types in C#.
Can I customize the root type name?
The default root type name is Root. You can easily rename it in the generated code, or the tool will use meaningful names based on the JSON structure when possible.
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JSON
JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format that is easy for humans to read and write, and easy for machines to parse and generate. It is based on a subset of JavaScript syntax but is language-independent.
AI Code Review
AI Code Review is an automated code review technique that integrates artificial intelligence (specifically Large Language Models like GPT-4 or Claude 3.5 Sonnet) into the Software Development Life Cycle (SDLC). When a developer submits code changes (such as a GitHub Pull Request or GitLab Merge Request), an AI Agent acts as a virtual senior engineer. It automatically reads the Diff, contextualizes the project, coding guidelines, and best practices, and quickly points out logical flaws, security vulnerabilities, performance bottlenecks, and stylistic issues. It posts comments directly on the specific lines of code and often generates fix snippets.
AutoGen
AutoGen is an open-source framework for developing Large Language Model (LLM) applications. Its core design philosophy is 'Multi-Agent Conversation': allocating complex tasks to multiple customizable agents (ConversableAgents) with different personas, tools, and system prompts, and letting them collaborate to solve problems by sending Messages to each other via natural language. This architecture greatly lowers the barrier to building highly autonomous AI systems.
Autonomous Driving
Autonomous Driving is a technology that enables vehicles to navigate and operate without human intervention by using a combination of sensors, artificial intelligence, and control systems. It encompasses various levels of automation defined by SAE International, ranging from Level 0 (no automation) to Level 5 (full automation), where the vehicle can handle all driving tasks in all conditions without any human input.
Barcode
Barcode is a machine-readable representation of data using patterns of parallel lines (1D) or geometric patterns (2D) that can be quickly scanned to retrieve encoded information.