diff --git a/optimum/commands/export/openvino.py b/optimum/commands/export/openvino.py
index 3b6b4de69..383e1cc04 100644
--- a/optimum/commands/export/openvino.py
+++ b/optimum/commands/export/openvino.py
@@ -21,7 +21,6 @@
 from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE
 
 from ...exporters import TasksManager
-from ...exporters.openvino.convert import save_preprocessors
 from ...intel.utils.import_utils import DIFFUSERS_IMPORT_ERROR, is_diffusers_available
 from ...intel.utils.modeling_utils import _infer_library_from_model_name_or_path
 from ...utils.save_utils import maybe_load_preprocessors
@@ -244,6 +243,7 @@ def parse_args(parser: "ArgumentParser"):
 
     def run(self):
         from ...exporters.openvino.__main__ import infer_task, main_export, maybe_convert_tokenizers
+        from ...exporters.openvino.utils import save_preprocessors
         from ...intel.openvino.configuration import _DEFAULT_4BIT_CONFIG, OVConfig, get_default_int4_config
 
         if self.args.library is None:
diff --git a/optimum/exporters/openvino/convert.py b/optimum/exporters/openvino/convert.py
index fdcfbecf5..0c0d5f59d 100644
--- a/optimum/exporters/openvino/convert.py
+++ b/optimum/exporters/openvino/convert.py
@@ -21,7 +21,6 @@
 from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple, Union
 
 import onnx
-from transformers import PretrainedConfig
 from transformers.generation import GenerationMixin
 from transformers.utils import is_tf_available, is_torch_available
 
@@ -54,7 +53,6 @@
     is_transformers_version,
 )
 from optimum.utils import DEFAULT_DUMMY_SHAPES, is_diffusers_available
-from optimum.utils.save_utils import maybe_save_preprocessors
 
 from ...intel.utils.import_utils import is_nncf_available
 from ...intel.utils.modeling_utils import _infer_library_from_model_or_model_class
@@ -73,6 +71,7 @@
     clear_class_registry,
     remove_none_from_dummy_inputs,
     save_config,
+    save_preprocessors,
 )
 
 
@@ -827,28 +826,6 @@ def export_tokenizer(
         save_model(model, output / file_name.format(suffix))
 
 
-def save_preprocessors(
-    preprocessors: List, config: PretrainedConfig, output: Union[str, Path], trust_remote_code: bool
-):
-    model_name_or_path = config._name_or_path
-    if hasattr(config, "export_model_type"):
-        model_type = config.export_model_type.replace("_", "-")
-    else:
-        model_type = config.model_type.replace("_", "-")
-    if preprocessors is not None:
-        # phi3-vision processor does not have chat_template attribute that breaks Processor saving on disk
-        if is_transformers_version(">=", "4.45") and model_type == "phi3-v" and len(preprocessors) > 1:
-            if not hasattr(preprocessors[1], "chat_template"):
-                preprocessors[1].chat_template = getattr(preprocessors[0], "chat_template", None)
-        for processor in preprocessors:
-            try:
-                processor.save_pretrained(output)
-            except Exception as ex:
-                logger.error(f"Saving {type(processor)} failed with {ex}")
-    else:
-        maybe_save_preprocessors(model_name_or_path, output, trust_remote_code=trust_remote_code)
-
-
 def _add_runtime_options_to_rt_info(model: Model, options: Dict):
     """
     Add runtime optinos
diff --git a/optimum/exporters/openvino/utils.py b/optimum/exporters/openvino/utils.py
index 7fb1bb5f1..302fee5b6 100644
--- a/optimum/exporters/openvino/utils.py
+++ b/optimum/exporters/openvino/utils.py
@@ -18,13 +18,16 @@
 from pathlib import Path
 from typing import Any, Callable, Dict, List, Optional, Tuple, Union
 
+from transformers import PretrainedConfig
 from transformers.utils import is_torch_available
 
 from openvino.runtime import Dimension, PartialShape, Symbol
 from openvino.runtime.utils.types import get_element_type
 from optimum.exporters import TasksManager
 from optimum.exporters.onnx.base import OnnxConfig
+from optimum.intel.utils import is_transformers_version
 from optimum.utils import is_diffusers_available
+from optimum.utils.save_utils import maybe_save_preprocessors
 
 
 logger = logging.getLogger(__name__)
@@ -227,3 +230,25 @@ def save_config(config, save_dir):
         save_dir.mkdir(exist_ok=True, parents=True)
         output_config_file = Path(save_dir / "config.json")
         config.to_json_file(output_config_file, use_diff=True)
+
+
+def save_preprocessors(
+    preprocessors: List, config: PretrainedConfig, output: Union[str, Path], trust_remote_code: bool
+):
+    model_name_or_path = config._name_or_path
+    if hasattr(config, "export_model_type"):
+        model_type = config.export_model_type.replace("_", "-")
+    else:
+        model_type = config.model_type.replace("_", "-")
+    if preprocessors is not None:
+        # phi3-vision processor does not have chat_template attribute that breaks Processor saving on disk
+        if is_transformers_version(">=", "4.45") and model_type == "phi3-v" and len(preprocessors) > 1:
+            if not hasattr(preprocessors[1], "chat_template"):
+                preprocessors[1].chat_template = getattr(preprocessors[0], "chat_template", None)
+        for processor in preprocessors:
+            try:
+                processor.save_pretrained(output)
+            except Exception as ex:
+                logger.error(f"Saving {type(processor)} failed with {ex}")
+    else:
+        maybe_save_preprocessors(model_name_or_path, output, trust_remote_code=trust_remote_code)