Data ke Kelas

Ubah data JSON atau XML menjadi definisi class/struct/interface dalam TypeScript, Python, Go, Java, C#, Swift, Kotlin, Rust, Dart, JSON Schema, Ruby, C++, dan lainnya. Juga: Alat CSS | Alat HTML | Alat XML | Alat YAML | Semua Alat JSON | Validator JSON Schema | Penampil / Editor JSON | Evaluator JSONPath | JSON → SQL / TOML | Pemformat JSON.
Semua pemrosesan berlangsung secara lokal di browser Anda — data Anda tidak pernah diunggah ke server mana pun.
Input:
Bahasa:
Penamaan:
JSON input
Interface TypeScript
How to use: Choose input format (JSON or XML), paste your data in the left textarea, pick a target language, and click Convert (or just type — auto-converts on input).
Batch merge: Paste multiple JSON objects (newline-separated or array) to automatically merge fields from all samples for richer type inference.
Enum detection: String fields with 2–10 distinct values are auto-detected as enums and shown in the stats panel. JSON Schema output includes enum constraints.
Naming style: Override language defaults with Auto (language convention), camelCase, PascalCase, or snake_case.
TypeScript: Generates interface definitions with proper types, optional markers (?), and array types.
Python: Generates @dataclass classes with full type hints (List, Optional).
Go: Generates struct definitions with json:"key" tags and exported field names.
Java: Generates POJOs with @JsonProperty annotations and getter/setter methods.
C#: Generates classes with [JsonPropertyName] attributes and auto-properties.
Swift: Generates Codable structs with CodingKeys enum when needed.
Kotlin: Generates data class with Jackson @JsonProperty annotations. Fields default to null. Arrays use List<T>. Nullable types use ? suffix.
Rust: Generates struct with #[derive(Debug, Clone, Serialize, Deserialize)] and #[serde(rename)] attributes. Fields in snake_case. Optional uses Option<T>. Arrays use Vec<T>.
Dart: Generates class with manual fromJson()/toJson() methods. Field names in camelCase. Nullable fields use ?. Arrays use List<T>.
JSON Schema: Generates JSON Schema (Draft 7) with $schema, definitions, and $ref references. Includes required arrays and enum constraints for detected enums.
Ruby: Generates Ruby classes with attr_accessor, initialize, self.from_json, and to_json. Field names in snake_case.
C++: Generates C++ struct with nlohmann/json to_json() and static from_json() methods. Uses std::shared_ptr, std::vector, field names in snake_case.
XML input: Parsed into JSON-like structure first. Repeated elements become arrays, nested elements become objects, empty elements become null. Attributes inferred as typed fields.
Dari data contoh ke definisi tipe

Class, struct, atau interface adalah kontrak waktu-kompilasi: nama bidang plus tipe. Membuatnya dari data contoh adalah inferensi, bukan kebenaran — bidang yang tidak ada dalam contoh berarti tidak diketahui, bukan tidak ada; nilai yang pernah terlihat sebagai 2 menjadi integer meskipun 2.5 muncul kemudian. Gabungkan beberapa contoh untuk inferensi yang lebih kaya, lalu tinjau secara manual sifat opsional dan enum.