diff --git a/docarray/typing/tensor/image/abstract_image_tensor.py b/docarray/typing/tensor/image/abstract_image_tensor.py
index 0d65f72ae9a..a6709920a13 100644
--- a/docarray/typing/tensor/image/abstract_image_tensor.py
+++ b/docarray/typing/tensor/image/abstract_image_tensor.py
@@ -2,6 +2,8 @@
 import warnings
 from abc import ABC
 
+import numpy as np
+
 from docarray.typing.tensor.abstract_tensor import AbstractTensor
 from docarray.utils._internal.misc import import_library, is_notebook
 
@@ -31,6 +33,22 @@ def to_bytes(self, format: str = 'PNG') -> bytes:
 
         return img_byte_arr
 
+    def save(self, file_path: str) -> None:
+        """
+        Save image tensor to an image file.
+
+        :param file_path: path to an image file. If file is a string, open the file by
+            that name, otherwise treat it as a file-like object.
+        """
+        PIL = import_library('PIL', raise_error=True)  # noqa: F841
+        from PIL import Image as PILImage
+
+        comp_backend = self.get_comp_backend()
+        np_img = comp_backend.to_numpy(self).astype(np.uint8)
+
+        pil_img = PILImage.fromarray(np_img)
+        pil_img.save(file_path)
+
     def display(self) -> None:
         """
         Display image data from tensor in notebook.
diff --git a/tests/units/typing/tensor/test_image_tensor.py b/tests/units/typing/tensor/test_image_tensor.py
new file mode 100644
index 00000000000..73c7b538d45
--- /dev/null
+++ b/tests/units/typing/tensor/test_image_tensor.py
@@ -0,0 +1,37 @@
+import os
+
+import numpy as np
+import pytest
+import torch
+from pydantic import parse_obj_as
+
+from docarray.typing import ImageNdArray, ImageTorchTensor
+from docarray.utils._internal.misc import is_tf_available
+
+tf_available = is_tf_available()
+if tf_available:
+    import tensorflow as tf
+
+    from docarray.typing.tensor.image import ImageTensorFlowTensor
+
+
+@pytest.mark.parametrize(
+    'cls_tensor,tensor',
+    [
+        (ImageTorchTensor, torch.zeros((224, 224, 3))),
+        (ImageNdArray, np.zeros((224, 224, 3))),
+    ],
+)
+def test_save_image_tensor_to_file(cls_tensor, tensor, tmpdir):
+    tmp_file = str(tmpdir / 'tmp.jpg')
+    image_tensor = parse_obj_as(cls_tensor, tensor)
+    image_tensor.save(tmp_file)
+    assert os.path.isfile(tmp_file)
+
+
+@pytest.mark.tensorflow
+def test_save_image_tensorflow_tensor_to_file(tmpdir):
+    tmp_file = str(tmpdir / 'tmp.jpg')
+    image_tensor = parse_obj_as(ImageTensorFlowTensor, tf.zeros((224, 224, 3)))
+    image_tensor.save(tmp_file)
+    assert os.path.isfile(tmp_file)