If this tool helped you, you can buy us a coffee ☕
Automatically convert JSON strings into standard Java POJO class code for API integration, data modeling, and other development scenarios.
When mapping JSON data from API responses to Java objects, manually writing the corresponding Plain Old Java Objects (POJOs) is not only time-consuming but also prone to errors. This tool parses your input JSON string, automatically infers its structure, data types, and nested relationships, and generates ready-to-use Java class code. The basic processing units are JSON objects ({}) or arrays ([]), and the core principle relies on mapping JSON key-value pairs to Java class member variables and data types.
string, number, boolean, null, array, and object to Java's String, Integer/Double, Boolean, List<T>, and custom classes.Is the code generated by the JSON to Java tool accurate?
The tool uses logical inference based on the JSON structure, making it highly accurate for standard data type mapping. For example, inputting {"name": "John", "age": 25} will generate a class containing private String name; and private Integer age;. However, for special formats (like date strings), developers may need to manually adjust the type to LocalDateTime.
How does it handle JSON arrays?
The tool maps JSON arrays to the java.util.List<T> type. For instance, {"items": [1, 2, 3]} will generate private List<Integer> items;.
Please ensure your input JSON is valid; otherwise, it cannot be parsed. The generated code does not include annotations for third-party serialization libraries (such as Jackson or Gson). If you need them for specific frameworks, please add them manually. For deeply nested or highly complex JSON structures, we recommend converting them in steps or manually optimizing the generated class structure to avoid class explosion.
In microservices or decoupled frontend/backend architectures, this tool helps quickly synchronize data contracts. When integrating a new API, we recommend using this tool to generate base POJOs from the response examples in the API documentation, then supplementing them with validation annotations or inheritance relationships based on your business logic. For example, inputting a complex JSON containing user information and an order list allows the tool to generate multiple associated classes like User and Order at once, significantly boosting initial development efficiency.
