diff --git a/pydantic/__init__.py b/pydantic/__init__.py
index dcbc355d1fd..4fdba0824a9 100644
--- a/pydantic/__init__.py
+++ b/pydantic/__init__.py
@@ -1,6 +1,6 @@
 # flake8: noqa
 from . import dataclasses
-from .annotated_types import namedtuple_to_model, typeddict_to_model
+from .annotated_types import create_model_from_namedtuple, create_model_from_typeddict
 from .class_validators import root_validator, validator
 from .decorator import validate_arguments
 from .env_settings import BaseSettings
@@ -18,8 +18,8 @@
 # please use "from pydantic.errors import ..." instead
 __all__ = [
     # annotated types utils
-    'namedtuple_to_model',
-    'typeddict_to_model',
+    'create_model_from_namedtuple',
+    'create_model_from_typeddict',
     # dataclasses
     'dataclasses',
     # class_validators
diff --git a/pydantic/annotated_types.py b/pydantic/annotated_types.py
index 35ee5bce734..12d8b62166b 100644
--- a/pydantic/annotated_types.py
+++ b/pydantic/annotated_types.py
@@ -12,7 +12,7 @@ class TypedDict(Dict[str, Any]):
         __optional_keys__: FrozenSet[str]
 
 
-def typeddict_to_model(
+def create_model_from_typeddict(
     typeddict_cls: Type['TypedDict'], *, config: Optional[Type['BaseConfig']] = None
 ) -> Type['BaseModel']:
     """
@@ -45,7 +45,7 @@ def typeddict_to_model(
     return create_model(f'{typeddict_cls.__name__}Model', __config__=config, **field_definitions)
 
 
-def namedtuple_to_model(namedtuple_cls: Type['NamedTuple']) -> Type['BaseModel']:
+def create_model_from_namedtuple(namedtuple_cls: Type['NamedTuple']) -> Type['BaseModel']:
     """
     Convert a named tuple to a `BaseModel`
     A named tuple can be created with `typing.NamedTuple` and declared annotations
diff --git a/pydantic/validators.py b/pydantic/validators.py
index 75b3941f1bd..193f66b6d93 100644
--- a/pydantic/validators.py
+++ b/pydantic/validators.py
@@ -544,9 +544,9 @@ def pattern_validator(v: Any) -> Pattern[str]:
 
 
 def make_named_tuple_validator(namedtuple_cls: Type[NamedTupleT]) -> Callable[[Tuple[Any, ...]], NamedTupleT]:
-    from .annotated_types import namedtuple_to_model
+    from .annotated_types import create_model_from_namedtuple
 
-    NamedTupleModel = namedtuple_to_model(namedtuple_cls)
+    NamedTupleModel = create_model_from_namedtuple(namedtuple_cls)
 
     def named_tuple_validator(values: Tuple[Any, ...]) -> NamedTupleT:
         dict_values: Dict[str, Any] = dict(zip(NamedTupleModel.__annotations__, values))
@@ -559,9 +559,9 @@ def named_tuple_validator(values: Tuple[Any, ...]) -> NamedTupleT:
 def make_typeddict_validator(
     typeddict_cls: Type['TypedDict'], config: Type['BaseConfig']
 ) -> Callable[[Any], Dict[str, Any]]:
-    from .annotated_types import typeddict_to_model
+    from .annotated_types import create_model_from_typeddict
 
-    TypedDictModel = typeddict_to_model(typeddict_cls, config=config)
+    TypedDictModel = create_model_from_typeddict(typeddict_cls, config=config)
 
     def typeddict_validator(values: 'TypedDict') -> Dict[str, Any]:
         return TypedDictModel(**values).dict(exclude_unset=True)