JSON to Pike Converter

How to use

1. Paste a representative JSON payload that matches the response, event, or config data your Pike code needs to parse.
2. Review the generated Pike classes, inferred scalar types, and array or child-class structure for nested content.
3. Copy the output into your project and add parser glue, modules, or project-specific conventions where needed.

Benefits

• Produces Pike model scaffolding that is easier to work with than repeated manual key access.
• Keeps nested payloads visible through explicit class fields and child types.
• Helps Pike utilities and backend code move toward more maintainable transport models.

Best use cases

• Pike services and scripts that repeatedly parse JSON payloads or config files.
• Internal tools that want readable class-based scaffolding for structured data.
• Teams maintaining Pike code that benefits from more explicit typed models.

Pike model tips

• Review `int`, `float`, and `array(...)` inference before wiring generated classes into production parsing code.
• Keep one realistic sample payload so child classes and repeated values reflect the data you actually receive.
• Add validation or custom decode helpers later if your Pike project has stricter domain rules than the raw payload.

Sample JSON

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

Sample Pike output

class UserModel
{
  int id;
  string name;
  int active;
  array(string) roles;
}

FAQ