diff --git a/demo/estimate_smpl.py b/demo/estimate_smpl.py
index d7ca6b2d..a60dd41b 100644
--- a/demo/estimate_smpl.py
+++ b/demo/estimate_smpl.py
@@ -18,6 +18,7 @@
 from mmhuman3d.core.visualization.visualize_smpl import visualize_smpl_hmr
 from mmhuman3d.data.data_structures.human_data import HumanData
 from mmhuman3d.utils.demo_utils import (
+    batch_array_to_images,
     extract_feature_sequence,
     get_speed_up_interval,
     prepare_frames,
@@ -27,7 +28,6 @@
     speed_up_interpolate,
     speed_up_process,
 )
-from mmhuman3d.utils.ffmpeg_utils import array_to_images
 from mmhuman3d.utils.transforms import rotmat_to_aa
 
 try:
@@ -238,8 +238,7 @@ def single_person_with_mmdet(args, frames_iter):
         human_data = HumanData()
         frames_folder = osp.join(args.output, 'images')
         os.makedirs(frames_folder, exist_ok=True)
-        array_to_images(
-            np.array(frames_iter)[frame_id_list], output_folder=frames_folder)
+        batch_array_to_images(frames_iter, frame_id_list, frames_folder)
 
         for i, img_i in enumerate(sorted(os.listdir(frames_folder))):
             body_pose_.append(smpl_poses[i][1:])
@@ -271,9 +270,7 @@ def single_person_with_mmdet(args, frames_iter):
         else:
             frames_folder = osp.join(Path(args.show_path).parent, 'images')
             os.makedirs(frames_folder, exist_ok=True)
-            array_to_images(
-                np.array(frames_iter)[frame_id_list],
-                output_folder=frames_folder)
+            batch_array_to_images(frames_iter, frame_id_list, frames_folder)
 
         body_model_config = dict(model_path=args.body_model_dir, type='smpl')
         visualize_smpl_hmr(
@@ -412,8 +409,7 @@ def multi_person_with_mmtracking(args, frames_iter):
         human_data = HumanData()
         frames_folder = osp.join(args.output, 'images')
         os.makedirs(frames_folder, exist_ok=True)
-        array_to_images(
-            np.array(frames_iter)[frame_id_list], output_folder=frames_folder)
+        batch_array_to_images(frames_iter, frame_id_list, frames_folder)
 
         for i, img_i in enumerate(sorted(os.listdir(frames_folder))):
             for person_i in track_ids_lists[i]:
@@ -463,9 +459,7 @@ def multi_person_with_mmtracking(args, frames_iter):
         else:
             frames_folder = osp.join(Path(args.show_path).parent, 'images')
             os.makedirs(frames_folder, exist_ok=True)
-            array_to_images(
-                np.array(frames_iter)[frame_id_list],
-                output_folder=frames_folder)
+            batch_array_to_images(frames_iter, frame_id_list, frames_folder)
         body_model_config = dict(model_path=args.body_model_dir, type='smpl')
         visualize_smpl_hmr(
             poses=compressed_poses.reshape(-1, max_instance, 24 * 3),
diff --git a/mmhuman3d/utils/demo_utils.py b/mmhuman3d/utils/demo_utils.py
index 0a33e25f..deb9e7b0 100644
--- a/mmhuman3d/utils/demo_utils.py
+++ b/mmhuman3d/utils/demo_utils.py
@@ -11,6 +11,7 @@
 from scipy import interpolate
 
 from mmhuman3d.core.post_processing import build_post_processing
+from mmhuman3d.utils.ffmpeg_utils import array_to_images
 
 try:
     from typing import Literal
@@ -717,6 +718,28 @@ def get_different_colors(number_of_colors,
     return colors_final
 
 
+def batch_array_to_images(frames_iter: list,
+                          frame_id_list: list,
+                          frames_folder: str,
+                          splits: int = 10):
+    """Batch process the total amount of frames to avoid oom problems that
+    might arise when loading a large number of images to memory.
+
+    Args:
+        frames_iter (list): image frames list
+        frame_id_list (list): image frames indices
+        frames_folder (str): frames folder
+        splits (int): number of array splits
+    """
+
+    def frames_array_split(frames_iter: list, frame_id_list: list):
+        for f_i_l in np.array_split(frame_id_list, splits):
+            yield np.array(frames_iter)[f_i_l]
+
+    for frames_iter_split in frames_array_split(frames_iter, frame_id_list):
+        array_to_images(frames_iter_split, output_folder=frames_folder)
+
+
 class RunningAverage():
     r"""A helper class to calculate running average in a sliding window.
 
diff --git a/mmhuman3d/utils/ffmpeg_utils.py b/mmhuman3d/utils/ffmpeg_utils.py
index 0c30b5db..d00b51bf 100644
--- a/mmhuman3d/utils/ffmpeg_utils.py
+++ b/mmhuman3d/utils/ffmpeg_utils.py
@@ -230,7 +230,7 @@ def array_to_images(
         '-f',
         'image2',
         '-start_number',
-        '0',
+        str(len(os.listdir(output_folder))),
         os.path.join(output_folder, img_format),
     ]
     if not disable_log:
diff --git a/tests/test_vis/test_ffmpeg.py b/tests/test_vis/test_ffmpeg.py
index 8188e48c..28607115 100644
--- a/tests/test_vis/test_ffmpeg.py
+++ b/tests/test_vis/test_ffmpeg.py
@@ -4,6 +4,7 @@
 import numpy as np
 import pytest
 
+from mmhuman3d.utils.demo_utils import batch_array_to_images
 from mmhuman3d.utils.ffmpeg_utils import (
     array_to_images,
     array_to_video,
@@ -98,7 +99,8 @@ def test_array_saver():
 
     v = np.random.randint(
         low=0, high=255, size=(30, 512, 512, 3), dtype=np.uint8)
-    array_to_images(v, osp.join(root, 'img_folder_saver'))
+    batch_array_to_images(v, list(range(len(v))),
+                          osp.join(root, 'img_folder_saver'))
     array_to_video(v, osp.join(root, 'test_saver.mp4'))
     array_to_video(v[:, :-1, :-1, :], osp.join(root, 'test_even.mp4'))
     assert os.path.isfile(osp.join(root, 'test_saver.mp4'))