Convert JSON data structures into Scala 3 case class code with automatic type inference to boost development efficiency.

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.

JSON to Java POJO Generator
Automatically convert JSON strings into standard Java POJO class code for API integration, data modeling, and other development scenarios.
Manually writing Scala case classes based on complex JSON structures is not only tedious but also prone to errors. This tool automatically parses valid JSON input, recursively analyzing its objects, arrays, primitive types, and null values to accurately map them into Scala 3 case class definitions. At its core is a type inference engine that maps JSON objects to case classes, arrays to List[T], and optional fields to Option[T], ensuring the generated code complies with Scala 3 syntax while maintaining strict type safety.
What type is generated for an empty JSON array?
An empty array ([]) defaults to List[Nothing]. We recommend manually adjusting this to a specific type, such as List[String], based on your business logic.
How can I ensure date fields have the correct type?
Date strings in JSON (e.g., "2023-10-26T10:00:00Z") are mapped to String. If you need to use java.time types, you will need to modify the code manually.
Please ensure your input is valid JSON to prevent mixed-type arrays from being inferred as Any. This tool does not store user data, but we advise against processing sensitive information. Complex nested structures may require manual verification for type accuracy.
For Scala developers, it is recommended to check if the Option type fields match your business logic after generation. For example, a common input like {"name":"Alice","age":30,"email":null} will output case class User(name: String, age: Int, email: Option[String]), where the email field requires Option operations to handle null values. Combining this with libraries like Circe or Play JSON can enable highly efficient serialization.