JSON to Kotlin Gson Converter
Generate Kotlin model classes with Gson annotations from JSON payloads for Android and Kotlin backend projects.
How to use
- Paste a representative JSON payload that reflects the real API structure.
- Review the generated Kotlin model classes, nested types, and Gson annotations.
- Copy the output into your Kotlin project and refine nullability or package naming as needed.
Benefits
- Speeds up Kotlin model generation for Android and JVM services.
- Preserves tricky JSON keys through Gson annotation-based mappings.
- Reduces manual data class authoring for nested payloads.
Best use cases
- Android projects using Retrofit with Gson converters.
- Kotlin services that consume third-party JSON APIs.
- Teams moving from handwritten DTOs to generated model scaffolds.
Kotlin Gson tips
- Review nullability carefully when APIs return optional or partially sparse data.
- Keep the payload sample close to real production responses for better type inference.
- Use generated models as DTOs and map them into domain models where needed.
Implementation tips
- Review Kotlin nullability for fields that may be missing in real responses.
- Keep generated Gson DTOs separate from domain models when layering matters.
- Check key naming for snake_case and symbol-heavy payloads before shipping.
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(
@SerializedName("id") val id: Int,
@SerializedName("name") val name: String,
@SerializedName("active") val active: Boolean
)
FAQ
Does the Kotlin Gson converter include annotation-based key mapping?
Yes. Gson-focused Kotlin output is designed to preserve JSON key mappings through generated annotations.
Should I choose Kotlin Gson or Kotlin data class output?
Choose Kotlin Gson when your parsing layer relies on Gson. Choose the standard Kotlin route for more generic data class scaffolding.