diff --git a/frigate/data_processing/post/object_descriptions.py b/frigate/data_processing/post/object_descriptions.py
index 379fdab52..23af43548 100644
--- a/frigate/data_processing/post/object_descriptions.py
+++ b/frigate/data_processing/post/object_descriptions.py
@@ -7,6 +7,7 @@ import threading
 from pathlib import Path
 from typing import TYPE_CHECKING, Any
 
+import cv2
 import numpy as np
 from peewee import DoesNotExist
 
@@ -158,7 +159,7 @@ class ObjectDescriptionProcessor(PostProcessorApi):
         )
 
         if event.has_snapshot and source == "snapshot":
-            snapshot_image = self._read_and_crop_snapshot(event, camera_config)
+            snapshot_image = self._read_and_crop_snapshot(event)
             if not snapshot_image:
                 return
 
@@ -203,11 +204,50 @@ class ObjectDescriptionProcessor(PostProcessorApi):
             )
         return None
 
+    def _read_and_crop_snapshot(self, event: Event) -> bytes | None:
+        """Read, decode, and crop the snapshot image."""
+
+        snapshot_file = os.path.join(CLIPS_DIR, f"{event.camera}-{event.id}.jpg")
+
+        if not os.path.isfile(snapshot_file):
+            logger.error(
+                f"Cannot load snapshot for {event.id}, file not found: {snapshot_file}"
+            )
+            return None
+
+        try:
+            with open(snapshot_file, "rb") as image_file:
+                snapshot_image = image_file.read()
+
+                img = cv2.imdecode(
+                    np.frombuffer(snapshot_image, dtype=np.int8),
+                    cv2.IMREAD_COLOR,
+                )
+
+                # Crop snapshot based on region
+                # provide full image if region doesn't exist (manual events)
+                height, width = img.shape[:2]
+                x1_rel, y1_rel, width_rel, height_rel = event.data.get(
+                    "region", [0, 0, 1, 1]
+                )
+                x1, y1 = int(x1_rel * width), int(y1_rel * height)
+
+                cropped_image = img[
+                    y1 : y1 + int(height_rel * height),
+                    x1 : x1 + int(width_rel * width),
+                ]
+
+                _, buffer = cv2.imencode(".jpg", cropped_image)
+
+                return buffer.tobytes()
+        except Exception:
+            return None
+
     def _process_genai_description(
         self, event: Event, camera_config: CameraConfig, thumbnail
     ) -> None:
         if event.has_snapshot and camera_config.objects.genai.use_snapshot:
-            snapshot_image = self._read_and_crop_snapshot(event, camera_config)
+            snapshot_image = self._read_and_crop_snapshot(event)
             if not snapshot_image:
                 return
 
diff --git a/frigate/embeddings/maintainer.py b/frigate/embeddings/maintainer.py
index e8a41f10e..ca2fa9534 100644
--- a/frigate/embeddings/maintainer.py
+++ b/frigate/embeddings/maintainer.py
@@ -3,13 +3,10 @@
 import base64
 import datetime
 import logging
-import os
 import threading
 from multiprocessing.synchronize import Event as MpEvent
 from typing import Any
 
-import cv2
-import numpy as np
 from peewee import DoesNotExist
 
 from frigate.comms.detections_updater import DetectionSubscriber, DetectionTypeEnum
@@ -35,9 +32,6 @@ from frigate.config.camera.updater import (
     CameraConfigUpdateEnum,
     CameraConfigUpdateSubscriber,
 )
-from frigate.const import (
-    CLIPS_DIR,
-)
 from frigate.data_processing.common.license_plate.model import (
     LicensePlateModelRunner,
 )
@@ -589,42 +583,3 @@ class EmbeddingMaintainer(threading.Thread):
             return
 
         self.embeddings.embed_thumbnail(event_id, thumbnail)
-
-    def _read_and_crop_snapshot(self, event: Event, camera_config) -> bytes | None:
-        """Read, decode, and crop the snapshot image."""
-
-        snapshot_file = os.path.join(CLIPS_DIR, f"{event.camera}-{event.id}.jpg")
-
-        if not os.path.isfile(snapshot_file):
-            logger.error(
-                f"Cannot load snapshot for {event.id}, file not found: {snapshot_file}"
-            )
-            return None
-
-        try:
-            with open(snapshot_file, "rb") as image_file:
-                snapshot_image = image_file.read()
-
-                img = cv2.imdecode(
-                    np.frombuffer(snapshot_image, dtype=np.int8),
-                    cv2.IMREAD_COLOR,
-                )
-
-                # Crop snapshot based on region
-                # provide full image if region doesn't exist (manual events)
-                height, width = img.shape[:2]
-                x1_rel, y1_rel, width_rel, height_rel = event.data.get(
-                    "region", [0, 0, 1, 1]
-                )
-                x1, y1 = int(x1_rel * width), int(y1_rel * height)
-
-                cropped_image = img[
-                    y1 : y1 + int(height_rel * height),
-                    x1 : x1 + int(width_rel * width),
-                ]
-
-                _, buffer = cv2.imencode(".jpg", cropped_image)
-
-                return buffer.tobytes()
-        except Exception:
-            return None