JSON to Kotlin Converter

How to use

1. Paste a representative JSON payload with the fields, nested objects, and arrays your Kotlin app actually uses.
2. Review the generated Kotlin data classes and Jackson-friendly property annotations for inferred field types and nullability.
3. Copy the output into your Android or JVM project and refine constructor defaults, packages, or serializer annotations as needed.

Benefits

• Produces idiomatic Kotlin data classes that are easy to adapt across Android and backend projects.
• Keeps DTO scaffolding lightweight when you do not want Gson-specific helpers.
• Reduces manual nested model authoring from large API payloads.

Best use cases

• Android apps that want plain Kotlin DTOs before choosing a serializer-specific stack.
• Kotlin backend services that need quick model scaffolding from external API payloads.
• Teams standardizing on idiomatic data classes with their own mapping or validation layers.

Plain Kotlin tips

• Use this route when you want clean data class scaffolding rather than Gson helper methods.
• Review nullability carefully if your real payloads omit fields that are present in the sample.
• Adopt the Kotlin Gson route later if your transport layer depends on Gson annotations and fromJson helpers.

Implementation tips

• Review nullability for fields that may be missing from responses.
• Keep generated models near network DTO layers.
• Use naming conventions that match your existing Kotlin style guides.

Sample JSON

{
  "id": 101,
  "name": "Ada Lovelace",
  "active": true,
  "roles": ["admin", "editor"],
  "profile": {
    "email": "ada@example.com",
    "score": 9.8
  }
}

Sample output

data class UserModel(
  @JsonProperty("id") val id: Int,
  @JsonProperty("name") val name: String,
  @JsonProperty("active") val active: Boolean
)

FAQ