Instantly convert JSON data into Rust struct code for seamless API integration, data processing, and model definitions.
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 YAML & YAML to JSON Converter
Bidirectionally convert between JSON and YAML structured data formats, with support for custom output styling.
JSON to Java POJO Generator
Automatically convert JSON strings into standard Java POJO class code for API integration, data modeling, and other development scenarios.
When importing JSON data from APIs or configuration files into a Rust project, manually writing the corresponding struct definitions is both tedious and error-prone. This tool parses your input JSON string, automatically infers its data structure, and generates Rust-compliant struct code—complete with field names, types, and common derive macros. Since a JSON object is an unordered collection of key-value pairs, the core function of this tool is to accurately map these objects directly into Rust structs.
Q: How are Rust types handled when a JSON field value is null?
A: The tool infers the field's type as Option<T>. For example, "name": null will generate pub name: Option<String>.
Q: How do I convert a JSON array into Rust code?
A: If you input a JSON array (e.g., [{"id": 1}]), the tool will generate a struct containing a Vec, such as pub items: Vec<Item>.
Please ensure your input JSON is properly formatted, otherwise it cannot be parsed. The tool's type inference is based on the appearance of the provided JSON values. For data types that might vary dynamically (e.g., a field that is sometimes a number and sometimes a string), we highly recommend manually checking and correcting the generated types. The generated code serves as a solid starting point; complex business logic—such as custom validation or lifetime annotations—must be added manually. This tool runs entirely locally in your browser, meaning your JSON data is never uploaded to our servers.
Handling external JSON data is a common task in Rust backend development. After using this tool to quickly generate struct prototypes, we recommend optimizing them using features from the serde crate. For instance, use #[serde(rename = "...")] to handle specific field name mappings, or #[serde(default)] to provide default values for optional fields. As a typical example, inputting the JSON {"userId": 123, "userName": "Alice", "tags": ["rust", "json"]} will generate a struct containing the fields pub user_id: i64, pub user_name: String, and pub tags: Vec<String>, while automatically adding the necessary derive macros.
