How can I convert a JSON string into a custom Python object?

Convert JSON to custom Python objects using several methods. The object_hook parameter in json.loads() allows custom deserialization: json.loads(json_str, object_hook=lambda d: MyClass(**d)). Use dataclasses with from_dict methods for cleaner code. Pydantic provides powerful validation and conversion: MyModel.parse_raw(json_str) automatically creates typed objects. For simple cases, use namedtuples or SimpleNamespace: json.loads(json_str, object_hook=lambda d: SimpleNamespace(**d)). Libraries like marshmallow offer schema-based deserialization with validation. Create custom JSONDecoder subclasses for complex conversions. The approach depends on validation needs and project complexity. Before processing in Python, use our JSON Editor at jsonconsole.com/json-editor to verify your JSON structure matches your class definition. Proper object mapping ensures type safety and makes your code more maintainable. Choose Pydantic for modern projects requiring validation.