diff --git a/docarray/typing/bytes/audio_bytes.py b/docarray/typing/bytes/audio_bytes.py
index 4a0283c8761..3dab08230a7 100644
--- a/docarray/typing/bytes/audio_bytes.py
+++ b/docarray/typing/bytes/audio_bytes.py
@@ -7,6 +7,7 @@
 
 from docarray.typing.abstract_type import AbstractType
 from docarray.typing.proto_register import _register_proto
+from docarray.typing.tensor.audio import AudioNdArray
 from docarray.utils._internal.misc import import_library
 
 if TYPE_CHECKING:
@@ -43,51 +44,48 @@ def _to_node_protobuf(self: T) -> 'NodeProto':
 
         return NodeProto(blob=self, type=self._proto_type_name)
 
-    def load(self) -> Tuple[np.ndarray, int]:
+    def load(self) -> Tuple[AudioNdArray, int]:
         """
-        Load the Audio from the bytes into a numpy.ndarray Audio tensor
+        Load the Audio from the AudioBytes into an AudioNdArray
 
         ---
 
         ```python
         from typing import Optional
         from docarray import BaseDoc
-        from docarray.typing import AudioUrl, NdArray, AudioBytes
-
-        import numpy as np
+        from docarray.typing import AudioBytes, AudioNdArray, AudioUrl
 
 
         class MyAudio(BaseDoc):
             url: AudioUrl
-            tensor: Optional[NdArray]
-            bytes: Optional[AudioBytes]
+            tensor: Optional[AudioNdArray]
+            bytes_: Optional[AudioBytes]
             frame_rate: Optional[float]
 
 
         doc = MyAudio(url='https://www.kozco.com/tech/piano2.wav')
-        doc.bytes = doc.url.load_bytes()
-        doc.tensor, doc.frame_rate = doc.bytes.load()
+        doc.bytes_ = doc.url.load_bytes()
+        doc.tensor, doc.frame_rate = doc.bytes_.load()
 
         # Note this is equivalent to do
 
         doc.tensor, doc.frame_rate = doc.url.load()
 
-        assert isinstance(doc.tensor, np.ndarray)
+        assert isinstance(doc.tensor, AudioNdArray)
         ```
 
         ---
-        :return: np.ndarray representing the Audio as RGB values
+        :return: tuple of an AudioNdArray representing the audio bytes content,
+            and an integer representing the frame rate.
         """
-        if TYPE_CHECKING:
-            import pydub
-        else:
-            pydub = import_library('pydub', raise_error=True)
+        pydub = import_library('pydub', raise_error=True)  # noqa: F841
+        from pydub import AudioSegment
 
-        segment = pydub.AudioSegment.from_file(io.BytesIO(self))
+        segment = AudioSegment.from_file(io.BytesIO(self))
 
         # Convert to float32 using NumPy
         samples = np.array(segment.get_array_of_samples())
 
         # Normalise float32 array so that values are between -1.0 and +1.0
         samples_norm = samples / 2 ** (segment.sample_width * 8 - 1)
-        return samples_norm, segment.frame_rate
+        return parse_obj_as(AudioNdArray, samples_norm), segment.frame_rate
diff --git a/docarray/typing/bytes/image_bytes.py b/docarray/typing/bytes/image_bytes.py
index e5d1d400d99..b3b1261f6b2 100644
--- a/docarray/typing/bytes/image_bytes.py
+++ b/docarray/typing/bytes/image_bytes.py
@@ -7,6 +7,7 @@
 
 from docarray.typing.abstract_type import AbstractType
 from docarray.typing.proto_register import _register_proto
+from docarray.typing.tensor.image import ImageNdArray
 from docarray.utils._internal.misc import import_library
 
 if TYPE_CHECKING:
@@ -81,16 +82,15 @@ def load(
         width: Optional[int] = None,
         height: Optional[int] = None,
         axis_layout: Tuple[str, str, str] = ('H', 'W', 'C'),
-    ) -> np.ndarray:
+    ) -> ImageNdArray:
         """
-        Load the image from the bytes into a numpy.ndarray image tensor
+        Load the image from the ImageBytes into an ImageNdArray
 
         ---
 
         ```python
         from docarray import BaseDoc
-        from docarray.typing import ImageUrl
-        import numpy as np
+        from docarray.typing import ImageNdArray, ImageUrl
 
 
         class MyDoc(BaseDoc):
@@ -103,7 +103,7 @@ class MyDoc(BaseDoc):
         )
 
         img_tensor = doc.img_url.load()
-        assert isinstance(img_tensor, np.ndarray)
+        assert isinstance(img_tensor, ImageNdArray)
 
         img_tensor = doc.img_url.load(height=224, width=224)
         assert img_tensor.shape == (224, 224, 3)
@@ -119,10 +119,10 @@ class MyDoc(BaseDoc):
         :param height: height of the image tensor.
         :param axis_layout: ordering of the different image axes.
             'H' = height, 'W' = width, 'C' = color channel
-        :return: np.ndarray representing the image as RGB values
+        :return: ImageNdArray representing the image as RGB values
         """
-
         raw_img = self.load_pil()
+
         if width or height:
             new_width = width or raw_img.width
             new_height = height or raw_img.height
@@ -132,7 +132,8 @@ class MyDoc(BaseDoc):
         except Exception:
             tensor = np.array(raw_img)
 
-        return self._move_channel_axis(tensor, axis_layout=axis_layout)
+        img = self._move_channel_axis(tensor, axis_layout=axis_layout)
+        return parse_obj_as(ImageNdArray, img)
 
     @staticmethod
     def _move_channel_axis(
diff --git a/docarray/typing/bytes/video_bytes.py b/docarray/typing/bytes/video_bytes.py
index bac2733b8db..1f4e22e4fd1 100644
--- a/docarray/typing/bytes/video_bytes.py
+++ b/docarray/typing/bytes/video_bytes.py
@@ -60,8 +60,7 @@ def load(self, **kwargs) -> VideoLoadResult:
 
         ```python
         from docarray import BaseDoc
-        from docarray.typing import VideoUrl
-        import numpy as np
+        from docarray.typing import AudioNdArray, NdArray, VideoNdArray, VideoUrl
 
 
         class MyDoc(BaseDoc):
@@ -73,9 +72,9 @@ class MyDoc(BaseDoc):
         )
 
         video, audio, key_frame_indices = doc.video_url.load()
-        assert isinstance(video, np.ndarray)
-        assert isinstance(audio, np.ndarray)
-        assert isinstance(key_frame_indices, np.ndarray)
+        assert isinstance(video, VideoNdArray)
+        assert isinstance(audio, AudioNdArray)
+        assert isinstance(key_frame_indices, NdArray)
         ```
 
         ---
diff --git a/docarray/typing/tensor/image/abstract_image_tensor.py b/docarray/typing/tensor/image/abstract_image_tensor.py
index 7b033a4ee33..0d65f72ae9a 100644
--- a/docarray/typing/tensor/image/abstract_image_tensor.py
+++ b/docarray/typing/tensor/image/abstract_image_tensor.py
@@ -1,7 +1,6 @@
 import io
 import warnings
 from abc import ABC
-from typing import TYPE_CHECKING
 
 from docarray.typing.tensor.abstract_tensor import AbstractTensor
 from docarray.utils._internal.misc import import_library, is_notebook
@@ -15,11 +14,8 @@ def to_bytes(self, format: str = 'PNG') -> bytes:
         :param format: the image format use to store the image, can be 'PNG' , 'JPG' ...
         :return: bytes
         """
-        if TYPE_CHECKING:
-            from PIL import Image as PILImage
-        else:
-            PIL = import_library('PIL', raise_error=True)  # noqa: F841
-            from PIL import Image as PILImage
+        PIL = import_library('PIL', raise_error=True)  # noqa: F841
+        from PIL import Image as PILImage
 
         if format == 'jpg':
             format = 'jpeg'  # unify it to ISO standard
@@ -40,11 +36,8 @@ def display(self) -> None:
         Display image data from tensor in notebook.
         """
         if is_notebook():
-            if TYPE_CHECKING:
-                from PIL import Image as PILImage
-            else:
-                PIL = import_library('PIL', raise_error=True)  # noqa: F841
-                from PIL import Image as PILImage
+            PIL = import_library('PIL', raise_error=True)  # noqa: F841
+            from PIL import Image as PILImage
 
             np_array = self.get_comp_backend().to_numpy(self)
             img = PILImage.fromarray(np_array)
diff --git a/docarray/typing/url/any_url.py b/docarray/typing/url/any_url.py
index 4aacf250d89..e414a5572e2 100644
--- a/docarray/typing/url/any_url.py
+++ b/docarray/typing/url/any_url.py
@@ -142,7 +142,6 @@ def from_protobuf(cls: Type[T], pb_msg: 'str') -> T:
     def load_bytes(self, timeout: Optional[float] = None) -> bytes:
         """Convert url to bytes. This will either load or download the file and save
         it into a bytes object.
-        :param uri: the URI of Document. Can be a local file path or a (remote) URL
         :param timeout: timeout for urlopen. Only relevant if URI is not local
         :return: bytes.
         """
diff --git a/docarray/typing/url/audio_url.py b/docarray/typing/url/audio_url.py
index bab24b518cf..43cdf37c36d 100644
--- a/docarray/typing/url/audio_url.py
+++ b/docarray/typing/url/audio_url.py
@@ -1,8 +1,7 @@
 import warnings
-from typing import TYPE_CHECKING, Any, Tuple, Type, TypeVar, Union
-
-import numpy as np
+from typing import TYPE_CHECKING, Any, Optional, Tuple, Type, TypeVar, Union
 
+from docarray.typing import AudioNdArray
 from docarray.typing.bytes.audio_bytes import AudioBytes
 from docarray.typing.proto_register import _register_proto
 from docarray.typing.url.any_url import AnyUrl
@@ -44,19 +43,17 @@ def validate(
             raise ValueError('Audio URL must have a valid extension')
         return cls(str(url), scheme=None)
 
-    def load(self: T) -> Tuple[np.ndarray, int]:
+    def load(self: T) -> Tuple[AudioNdArray, int]:
         """
-        Load the data from the url into an AudioNdArray.
-
+        Load the data from the url into an AudioNdArray and the frame rate.
 
         ---
 
         ```python
         from typing import Optional
-        from docarray import BaseDoc
-        import numpy as np
 
-        from docarray.typing import AudioUrl, AudioNdArray
+        from docarray import BaseDoc
+        from docarray.typing import AudioNdArray, AudioUrl
 
 
         class MyDoc(BaseDoc):
@@ -66,16 +63,29 @@ class MyDoc(BaseDoc):
 
         doc = MyDoc(audio_url='https://www.kozco.com/tech/piano2.wav')
         doc.audio_tensor, _ = doc.audio_url.load()
-        assert isinstance(doc.audio_tensor, np.ndarray)
+        assert isinstance(doc.audio_tensor, AudioNdArray)
         ```
 
         ---
 
-        :return: AudioNdArray representing the audio file content.
+        :return: tuple of an AudioNdArray representing the Audio file content,
+            and an integer representing the frame rate.
+
         """
-        bytes_ = AudioBytes(self.load_bytes())
+        bytes_ = self.load_bytes()
         return bytes_.load()
 
+    def load_bytes(self, timeout: Optional[float] = None) -> AudioBytes:
+        """
+        Convert url to AudioBytes. This will either load or download the file and save
+        it into an AudioBytes object.
+
+        :param timeout: timeout for urlopen. Only relevant if url is not local
+        :return: AudioBytes object
+        """
+        bytes_ = super().load_bytes(timeout=timeout)
+        return AudioBytes(bytes_)
+
     def display(self):
         """
         Play the audio sound from url in notebook.
diff --git a/docarray/typing/url/image_url.py b/docarray/typing/url/image_url.py
index 7fa0f58af80..b5b221f939e 100644
--- a/docarray/typing/url/image_url.py
+++ b/docarray/typing/url/image_url.py
@@ -1,9 +1,9 @@
 import warnings
 from typing import TYPE_CHECKING, Any, Optional, Tuple, Type, TypeVar, Union
 
-import numpy as np
-
+from docarray.typing import ImageBytes
 from docarray.typing.proto_register import _register_proto
+from docarray.typing.tensor.image import ImageNdArray
 from docarray.typing.url.any_url import AnyUrl
 from docarray.utils._internal.misc import is_notebook
 
@@ -76,16 +76,15 @@ def load(
         height: Optional[int] = None,
         axis_layout: Tuple[str, str, str] = ('H', 'W', 'C'),
         timeout: Optional[float] = None,
-    ) -> np.ndarray:
+    ) -> ImageNdArray:
         """
-        Load the data from the url into a numpy.ndarray image tensor
+        Load the data from the url into an ImageNdArray
 
         ---
 
         ```python
         from docarray import BaseDoc
-        from docarray.typing import ImageUrl
-        import numpy as np
+        from docarray.typing import ImageUrl, ImageNdArray
 
 
         class MyDoc(BaseDoc):
@@ -98,7 +97,7 @@ class MyDoc(BaseDoc):
         )
 
         img_tensor = doc.img_url.load()
-        assert isinstance(img_tensor, np.ndarray)
+        assert isinstance(img_tensor, ImageNdArray)
 
         img_tensor = doc.img_url.load(height=224, width=224)
         assert img_tensor.shape == (224, 224, 3)
@@ -116,13 +115,24 @@ class MyDoc(BaseDoc):
             'H' = height, 'W' = width, 'C' = color channel
         :param timeout: timeout (sec) for urlopen network request.
             Only relevant if URL is not local
-        :return: np.ndarray representing the image as RGB values
+        :return: ImageNdArray representing the image as RGB values
         """
         from docarray.typing.bytes.image_bytes import ImageBytes
 
         buffer = ImageBytes(self.load_bytes(timeout=timeout))
         return buffer.load(width, height, axis_layout)
 
+    def load_bytes(self, timeout: Optional[float] = None) -> ImageBytes:
+        """
+        Convert url to ImageBytes. This will either load or download the file and save
+        it into an ImageBytes object.
+
+        :param timeout: timeout for urlopen. Only relevant if url is not local
+        :return: ImageBytes object
+        """
+        bytes_ = super().load_bytes(timeout=timeout)
+        return ImageBytes(bytes_)
+
     def display(self) -> None:
         """
         Display image data from url in notebook.
diff --git a/docarray/typing/url/url_3d/mesh_url.py b/docarray/typing/url/url_3d/mesh_url.py
index 2f235b6fb01..788bc4f02ac 100644
--- a/docarray/typing/url/url_3d/mesh_url.py
+++ b/docarray/typing/url/url_3d/mesh_url.py
@@ -33,7 +33,6 @@ def load(
 
          ```python
          from docarray import BaseDoc
-         import numpy as np
 
          from docarray.typing import Mesh3DUrl, NdArray
 
diff --git a/docarray/typing/url/video_url.py b/docarray/typing/url/video_url.py
index e6b35642f5e..dfbc8114063 100644
--- a/docarray/typing/url/video_url.py
+++ b/docarray/typing/url/video_url.py
@@ -1,7 +1,7 @@
 import warnings
-from typing import TYPE_CHECKING, Any, Type, TypeVar, Union
+from typing import TYPE_CHECKING, Any, Optional, Type, TypeVar, Union
 
-from docarray.typing.bytes.video_bytes import VideoLoadResult
+from docarray.typing.bytes.video_bytes import VideoBytes, VideoLoadResult
 from docarray.typing.proto_register import _register_proto
 from docarray.typing.url.any_url import AnyUrl
 from docarray.utils._internal.misc import is_notebook
@@ -99,11 +99,20 @@ class MyDoc(BaseDoc):
         :return: AudioNdArray representing the audio content, VideoNdArray representing
             the images of the video, NdArray of the key frame indices.
         """
-        from docarray.typing.bytes.video_bytes import VideoBytes
-
-        buffer = VideoBytes(self.load_bytes(**kwargs))
+        buffer = self.load_bytes(**kwargs)
         return buffer.load()
 
+    def load_bytes(self, timeout: Optional[float] = None) -> VideoBytes:
+        """
+        Convert url to VideoBytes. This will either load or download the file and save
+        it into an VideoBytes object.
+
+        :param timeout: timeout for urlopen. Only relevant if url is not local
+        :return: VideoBytes object
+        """
+        bytes_ = super().load_bytes(timeout=timeout)
+        return VideoBytes(bytes_)
+
     def display(self):
         """
         Play video from url in notebook.
diff --git a/tests/integrations/document/test_proto.py b/tests/integrations/document/test_proto.py
index 02b9aae3f00..2f656e6b4b4 100644
--- a/tests/integrations/document/test_proto.py
+++ b/tests/integrations/document/test_proto.py
@@ -122,6 +122,7 @@ class MyDoc(BaseDoc):
 
     assert doc.bytes_ == b'hello'
     assert doc.img_bytes == b'img'
+    assert isinstance(doc.img_bytes, ImageBytes)
 
 
 @pytest.mark.tensorflow
diff --git a/tests/integrations/predefined_document/test_image.py b/tests/integrations/predefined_document/test_image.py
index f77e945d714..b9fa418e29c 100644
--- a/tests/integrations/predefined_document/test_image.py
+++ b/tests/integrations/predefined_document/test_image.py
@@ -5,6 +5,7 @@
 
 from docarray import BaseDoc
 from docarray.documents import ImageDoc
+from docarray.typing import ImageBytes
 from docarray.utils._internal.misc import is_tf_available
 
 tf_available = is_tf_available()
@@ -71,6 +72,7 @@ def test_byte():
 
     img = ImageDoc(url=REMOTE_JPG)
     img.bytes_ = img.url.load_bytes()
+    assert isinstance(img.bytes_, ImageBytes)
 
 
 @pytest.mark.slow
diff --git a/tests/units/typing/url/test_audio_url.py b/tests/units/typing/url/test_audio_url.py
index 9168302aada..8b8757868d2 100644
--- a/tests/units/typing/url/test_audio_url.py
+++ b/tests/units/typing/url/test_audio_url.py
@@ -7,7 +7,7 @@
 
 from docarray import BaseDoc
 from docarray.base_doc.io.json import orjson_dumps
-from docarray.typing import AudioTorchTensor, AudioUrl
+from docarray.typing import AudioBytes, AudioTorchTensor, AudioUrl
 from docarray.utils._internal.misc import is_tf_available
 from tests import TOYDATA_DIR
 
@@ -130,3 +130,11 @@ def test_proto_audio_url(file_url):
     uri = parse_obj_as(AudioUrl, file_url)
     proto = uri._to_node_protobuf()
     assert 'audio_url' in str(proto)
+
+
+def test_load_bytes():
+    uri = parse_obj_as(AudioUrl, REMOTE_AUDIO_FILE)
+    audio_bytes = uri.load_bytes()
+    assert isinstance(audio_bytes, bytes)
+    assert isinstance(audio_bytes, AudioBytes)
+    assert len(audio_bytes) > 0
diff --git a/tests/units/typing/url/test_video_url.py b/tests/units/typing/url/test_video_url.py
index e0dba53b6fe..f08d951bbec 100644
--- a/tests/units/typing/url/test_video_url.py
+++ b/tests/units/typing/url/test_video_url.py
@@ -10,6 +10,7 @@
 from docarray.typing import (
     AudioNdArray,
     NdArray,
+    VideoBytes,
     VideoNdArray,
     VideoTorchTensor,
     VideoUrl,
@@ -158,4 +159,5 @@ def test_load_bytes():
     uri = parse_obj_as(VideoUrl, file_url)
     video_bytes = uri.load_bytes()
     assert isinstance(video_bytes, bytes)
+    assert isinstance(video_bytes, VideoBytes)
     assert len(video_bytes) > 0