diff --git a/docarray/base_doc/docarray_response.py b/docarray/base_doc/docarray_response.py
index 8f00ffdbf5..4654069e7b 100644
--- a/docarray/base_doc/docarray_response.py
+++ b/docarray/base_doc/docarray_response.py
@@ -33,7 +33,7 @@ class DocArrayResponse(JSONResponse):
     ---
 
     ```python
-    from docarray.documets import Text
+    from docarray.documents import Text
     from docarray.base_doc import DocResponse
 
 
diff --git a/docarray/typing/tensor/ndarray.py b/docarray/typing/tensor/ndarray.py
index 6ea94dc697..fb2db8e857 100644
--- a/docarray/typing/tensor/ndarray.py
+++ b/docarray/typing/tensor/ndarray.py
@@ -31,11 +31,9 @@
     from docarray.typing.tensor.tensorflow_tensor import TensorFlowTensor  # noqa: F401
 
 if TYPE_CHECKING:
-
     from docarray.computation.numpy_backend import NumpyCompBackend
     from docarray.proto import NdArrayProto
 
-
 T = TypeVar('T', bound='NdArray')
 ShapeT = TypeVar('ShapeT')
 
@@ -150,12 +148,12 @@ def _docarray_from_native(cls: Type[T], value: np.ndarray) -> T:
             return cast(T, value.view(cls.__unparametrizedcls__))
         return value.view(cls)
 
-    def _docarray_to_json_compatible(self) -> np.ndarray:
+    def _docarray_to_json_compatible(self):
         """
         Convert `NdArray` into a json compatible object
         :return: a representation of the tensor compatible with orjson
         """
-        return self.unwrap()
+        return self.unwrap().tolist()
 
     def unwrap(self) -> np.ndarray:
         """
diff --git a/tests/units/array/test_array_from_to_json.py b/tests/units/array/test_array_from_to_json.py
index 2324652c6d..ce0ccb7fd7 100644
--- a/tests/units/array/test_array_from_to_json.py
+++ b/tests/units/array/test_array_from_to_json.py
@@ -149,6 +149,27 @@ class MyDoc(BaseDoc):
     assert v_after._storage == v._storage
 
 
+@pytest.mark.parametrize('dtype', [np.float16, np.float32, np.float64])
+def test_from_to_json_doclist_different_dtype(dtype):
+    emb = np.random.rand(128).astype(dtype)
+    da = DocList[MyDoc](
+        [
+            MyDoc(embedding=emb, text='hello', image=ImageDoc(url='aux.png')),
+            MyDoc(embedding=emb, text='hello world', image=ImageDoc()),
+        ]
+    )
+    json_da = da.to_json()
+    da2 = DocList[MyDoc].from_json(json_da)
+    assert len(da2) == 2
+    assert len(da) == len(da2)
+    for d1, d2 in zip(da, da2):
+        assert d1.embedding.tolist() == d2.embedding.tolist()
+        assert d1.text == d2.text
+        assert d1.image.url == d2.image.url
+    assert da[1].image.url is None
+    assert da2[1].image.url is None
+
+
 def test_union_type():
     from typing import Union