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Automatically map JSON data structures to C++ class or struct definitions for rapid generation of data models used in APIs and configuration files.

JSON to Java POJO Generator
Automatically convert JSON strings into standard Java POJO class code for API integration, data modeling, and other development scenarios.

JSON to XML & XML to JSON Converter
A two-way conversion tool for JSON and XML data structures, designed for development, testing, and data processing.

JSON to C# Class Converter
Automatically convert JSON data into C# class definitions, ideal for .NET developers building data models.

JSON to CSV & CSV to JSON Converter
Convert seamlessly between JSON arrays and CSV tabular data. Ideal for data analysis and software development.

JSON to Java POJO Generator
Automatically convert JSON strings into standard Java POJO class code for API integration, data modeling, and other development scenarios.

JSON to XML & XML to JSON Converter
A two-way conversion tool for JSON and XML data structures, designed for development, testing, and data processing.

JSON to C# Class Converter
Automatically convert JSON data into C# class definitions, ideal for .NET developers building data models.

JSON to CSV & CSV to JSON Converter
Convert seamlessly between JSON arrays and CSV tabular data. Ideal for data analysis and software development.

JSON to YAML & YAML to JSON Converter
Bidirectionally convert between JSON and YAML structured data formats, with support for custom output styling.
Manually writing C++ data structures for complex JSON data is time-consuming and error-prone. This tool automatically generates the corresponding C++ struct or class definition code by parsing your input JSON string based on its key-value pairs and nested relationships. JSON is a lightweight data-interchange format, while C++ structs are composite data types used to organize related data. The core function of this tool is to map JSON objects to C++ structs, map JSON arrays to std::vector<T>, and intelligently infer the types of member variables.
std::string, int/double, bool, std::vector, and nested structs.<string>, <vector>) and follows C++ naming conventions, ready to be copied directly into your project.Q: Can the JSON to C++ tool handle null values?
A: They are typically mapped to the default value of the corresponding type or generated as a std::optional type. For example, a null in JSON might appear on the C++ side as an uninitialized int or an empty std::optional<std::string>.
Q: Can this tool generate JSON parsing code?
A: No. This tool only generates the "skeleton" of the data structure (class/struct definitions) and does not include runtime functionality to parse JSON strings or serialize C++ objects. You will need to use third-party libraries like RapidJSON or nlohmann/json to handle the actual data binding and conversion.
Please ensure your input JSON format is valid (you can use an online JSON validator to check it beforehand). The type mappings generated by the tool (such as whether a JSON number is mapped to an int or a double) are based on general rules; for extremely large integers or high-precision floating-point numbers, please adjust them manually. The generated member variable names are converted from JSON keys, so please verify that they comply with your project's naming conventions (e.g., camelCase).
For C++ backend projects interacting with RESTful APIs, this tool can significantly simplify the definition of data contracts. A typical use case is converting a sample JSON response from API documentation directly into a C++ model, and then using the from_json/to_json functions of the nlohmann/json library for deserialization/serialization. For instance, when processing a response from a user list API, the tool can quickly generate a top-level struct containing a std::vector<User>, saving you the time of manually writing the type for each field. We recommend adding constructors, getters/setters, or serialization methods to the generated code based on your business requirements.