diff --git a/paddlex/inference/utils/official_models.py b/paddlex/inference/utils/official_models.py
index d0081cd1f..c38c2638c 100644
--- a/paddlex/inference/utils/official_models.py
+++ b/paddlex/inference/utils/official_models.py
@@ -434,6 +434,34 @@ def is_available(cls):
             return False
 
 
+class _LocalModelHoster(_BaseModelHoster):
+    model_list = OCR_MODELS
+    alias = "local"
+    healthcheck_url = None
+
+    def get_model(self, model_name):
+        assert (
+                model_name in self.model_list
+        ), f"The model {model_name} is not supported on hosting {self.__class__.__name__}!"
+        model_dir = self._save_dir / f"{model_name}"
+        if os.path.exists(model_dir):
+            logging.info(
+                f"Model files already exist. Using cached files. To redownload, please delete the directory manually: `{model_dir}`."
+            )
+        else:
+            logging.warning(
+                f"local model ({model_name}) not found in {self._save_dir}. "
+            )
+            logging.info(
+                f"Using official model ({model_name}), the model files will be automatically downloaded and saved in `{model_dir}`."
+            )
+            raise FileNotFoundError
+        return model_dir
+
+    def _download(self):
+        pass
+
+
 class _BosModelHoster(_BaseModelHoster):
     model_list = ALL_MODELS
     alias = "bos"
@@ -551,11 +579,15 @@ def _build_hosters(self):
         return hosters
 
     def _get_model_local_path(self, model_name):
-        if len(self._hosters) == 0:
-            msg = "No available model hosting platforms detected. Please check your network connection."
-            logging.error(msg)
-            raise Exception(msg)
-        return self._download_from_hoster(self._hosters, model_name)
+        try:
+            local_hoster = _LocalModelHoster(self._save_dir)
+            return local_hoster.get_model(model_name)
+        except FileNotFoundError:
+            if len(self._hosters) == 0:
+                msg = "No available models detected. Please check your network connection."
+                logging.error(msg)
+                raise Exception(msg)
+            return self._download_from_hoster(self._hosters, model_name)
 
     def _download_from_hoster(self, hosters, model_name):
         for idx, hoster in enumerate(hosters):