diff --git a/mediapipe/tasks/python/test/vision/BUILD b/mediapipe/tasks/python/test/vision/BUILD
index e55e1b572..d555402b8 100644
--- a/mediapipe/tasks/python/test/vision/BUILD
+++ b/mediapipe/tasks/python/test/vision/BUILD
@@ -185,3 +185,20 @@ py_test(
         "@com_google_protobuf//:protobuf_python",
     ],
 )
+
+py_test(
+    name = "face_aligner_test",
+    srcs = ["face_aligner_test.py"],
+    data = [
+        "//mediapipe/tasks/testdata/vision:test_images",
+        "//mediapipe/tasks/testdata/vision:test_models",
+    ],
+    deps = [
+        "//mediapipe/python:_framework_bindings",
+        "//mediapipe/tasks/python/components/containers:rect",
+        "//mediapipe/tasks/python/core:base_options",
+        "//mediapipe/tasks/python/test:test_utils",
+        "//mediapipe/tasks/python/vision:face_aligner",
+        "//mediapipe/tasks/python/vision/core:image_processing_options",
+    ],
+)
diff --git a/mediapipe/tasks/python/test/vision/face_aligner_test.py b/mediapipe/tasks/python/test/vision/face_aligner_test.py
new file mode 100644
index 000000000..324bd0359
--- /dev/null
+++ b/mediapipe/tasks/python/test/vision/face_aligner_test.py
@@ -0,0 +1,190 @@
+# Copyright 2023 The MediaPipe Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Tests for face aligner."""
+
+import enum
+import os
+
+from absl.testing import absltest
+from absl.testing import parameterized
+
+from mediapipe.python._framework_bindings import image as image_module
+from mediapipe.tasks.python.components.containers import rect
+from mediapipe.tasks.python.core import base_options as base_options_module
+from mediapipe.tasks.python.test import test_utils
+from mediapipe.tasks.python.vision import face_aligner
+from mediapipe.tasks.python.vision.core import image_processing_options as image_processing_options_module
+
+_BaseOptions = base_options_module.BaseOptions
+_Rect = rect.Rect
+_Image = image_module.Image
+_FaceAligner = face_aligner.FaceAligner
+_FaceAlignerOptions = face_aligner.FaceAlignerOptions
+_ImageProcessingOptions = image_processing_options_module.ImageProcessingOptions
+
+_MODEL = 'face_landmarker_v2.task'
+_LARGE_FACE_IMAGE = 'portrait.jpg'
+_MODEL_IMAGE_SIZE = 256
+_TEST_DATA_DIR = 'mediapipe/tasks/testdata/vision'
+
+
+class ModelFileType(enum.Enum):
+  FILE_CONTENT = 1
+  FILE_NAME = 2
+
+
+class FaceAlignerTest(parameterized.TestCase):
+
+  def setUp(self):
+    super().setUp()
+    self.test_image = _Image.create_from_file(
+        test_utils.get_test_data_path(
+            os.path.join(_TEST_DATA_DIR, _LARGE_FACE_IMAGE)
+        )
+    )
+    self.model_path = test_utils.get_test_data_path(
+        os.path.join(_TEST_DATA_DIR, _MODEL)
+    )
+
+  def test_create_from_file_succeeds_with_valid_model_path(self):
+    # Creates with default option and valid model file successfully.
+    with _FaceAligner.create_from_model_path(self.model_path) as aligner:
+      self.assertIsInstance(aligner, _FaceAligner)
+
+  def test_create_from_options_succeeds_with_valid_model_path(self):
+    # Creates with options containing model file successfully.
+    base_options = _BaseOptions(model_asset_path=self.model_path)
+    options = _FaceAlignerOptions(base_options=base_options)
+    with _FaceAligner.create_from_options(options) as aligner:
+      self.assertIsInstance(aligner, _FaceAligner)
+
+  def test_create_from_options_fails_with_invalid_model_path(self):
+    with self.assertRaisesRegex(
+        RuntimeError, 'Unable to open file at /path/to/invalid/model.tflite'
+    ):
+      base_options = _BaseOptions(
+          model_asset_path='/path/to/invalid/model.tflite'
+      )
+      options = _FaceAlignerOptions(base_options=base_options)
+      _FaceAligner.create_from_options(options)
+
+  def test_create_from_options_succeeds_with_valid_model_content(self):
+    # Creates with options containing model content successfully.
+    with open(self.model_path, 'rb') as f:
+      base_options = _BaseOptions(model_asset_buffer=f.read())
+      options = _FaceAlignerOptions(base_options=base_options)
+      aligner = _FaceAligner.create_from_options(options)
+      self.assertIsInstance(aligner, _FaceAligner)
+
+  @parameterized.parameters(
+      (ModelFileType.FILE_NAME, _LARGE_FACE_IMAGE),
+      (ModelFileType.FILE_CONTENT, _LARGE_FACE_IMAGE),
+  )
+  def test_align(self, model_file_type, image_file_name):
+    # Load the test image.
+    self.test_image = _Image.create_from_file(
+        test_utils.get_test_data_path(
+            os.path.join(_TEST_DATA_DIR, image_file_name)
+        )
+    )
+    # Creates aligner.
+    if model_file_type is ModelFileType.FILE_NAME:
+      base_options = _BaseOptions(model_asset_path=self.model_path)
+    elif model_file_type is ModelFileType.FILE_CONTENT:
+      with open(self.model_path, 'rb') as f:
+        model_content = f.read()
+      base_options = _BaseOptions(model_asset_buffer=model_content)
+    else:
+      # Should never happen
+      raise ValueError('model_file_type is invalid.')
+
+    options = _FaceAlignerOptions(base_options=base_options)
+    aligner = _FaceAligner.create_from_options(options)
+
+    # Performs face alignment on the input.
+    alignd_image = aligner.align(self.test_image)
+    self.assertIsInstance(alignd_image, _Image)
+    # Closes the aligner explicitly when the aligner is not used in
+    # a context.
+    aligner.close()
+
+  @parameterized.parameters(
+      (ModelFileType.FILE_NAME, _LARGE_FACE_IMAGE),
+      (ModelFileType.FILE_CONTENT, _LARGE_FACE_IMAGE),
+  )
+  def test_align_in_context(self, model_file_type, image_file_name):
+    # Load the test image.
+    self.test_image = _Image.create_from_file(
+        test_utils.get_test_data_path(
+            os.path.join(_TEST_DATA_DIR, image_file_name)
+        )
+    )
+    # Creates aligner.
+    if model_file_type is ModelFileType.FILE_NAME:
+      base_options = _BaseOptions(model_asset_path=self.model_path)
+    elif model_file_type is ModelFileType.FILE_CONTENT:
+      with open(self.model_path, 'rb') as f:
+        model_content = f.read()
+      base_options = _BaseOptions(model_asset_buffer=model_content)
+    else:
+      # Should never happen
+      raise ValueError('model_file_type is invalid.')
+
+    options = _FaceAlignerOptions(base_options=base_options)
+    with _FaceAligner.create_from_options(options) as aligner:
+      # Performs face alignment on the input.
+      alignd_image = aligner.align(self.test_image)
+      self.assertIsInstance(alignd_image, _Image)
+      self.assertEqual(alignd_image.width, _MODEL_IMAGE_SIZE)
+      self.assertEqual(alignd_image.height, _MODEL_IMAGE_SIZE)
+
+  def test_align_succeeds_with_region_of_interest(self):
+    base_options = _BaseOptions(model_asset_path=self.model_path)
+    options = _FaceAlignerOptions(base_options=base_options)
+    with _FaceAligner.create_from_options(options) as aligner:
+      # Load the test image.
+      test_image = _Image.create_from_file(
+          test_utils.get_test_data_path(
+              os.path.join(_TEST_DATA_DIR, _LARGE_FACE_IMAGE)
+          )
+      )
+      # Region-of-interest around the face.
+      roi = _Rect(left=0.32, top=0.02, right=0.67, bottom=0.32)
+      image_processing_options = _ImageProcessingOptions(roi)
+      # Performs face alignment on the input.
+      alignd_image = aligner.align(test_image, image_processing_options)
+      self.assertIsInstance(alignd_image, _Image)
+      self.assertEqual(alignd_image.width, _MODEL_IMAGE_SIZE)
+      self.assertEqual(alignd_image.height, _MODEL_IMAGE_SIZE)
+
+  def test_align_succeeds_with_no_face_detected(self):
+    base_options = _BaseOptions(model_asset_path=self.model_path)
+    options = _FaceAlignerOptions(base_options=base_options)
+    with _FaceAligner.create_from_options(options) as aligner:
+      # Load the test image.
+      test_image = _Image.create_from_file(
+          test_utils.get_test_data_path(
+              os.path.join(_TEST_DATA_DIR, _LARGE_FACE_IMAGE)
+          )
+      )
+      # Region-of-interest that doesn't contain a human face.
+      roi = _Rect(left=0.1, top=0.1, right=0.2, bottom=0.2)
+      image_processing_options = _ImageProcessingOptions(roi)
+      # Performs face alignment on the input.
+      alignd_image = aligner.align(test_image, image_processing_options)
+      self.assertIsNone(alignd_image)
+
+
+if __name__ == '__main__':
+  absltest.main()
diff --git a/mediapipe/tasks/python/vision/BUILD b/mediapipe/tasks/python/vision/BUILD
index d0c97434f..dcd28dcf5 100644
--- a/mediapipe/tasks/python/vision/BUILD
+++ b/mediapipe/tasks/python/vision/BUILD
@@ -264,3 +264,22 @@ py_library(
         "//mediapipe/tasks/python/vision/core:vision_task_running_mode",
     ],
 )
+
+py_library(
+    name = "face_aligner",
+    srcs = [
+        "face_aligner.py",
+    ],
+    deps = [
+        "//mediapipe/python:_framework_bindings",
+        "//mediapipe/python:packet_creator",
+        "//mediapipe/python:packet_getter",
+        "//mediapipe/tasks/cc/vision/face_stylizer/proto:face_stylizer_graph_options_py_pb2",
+        "//mediapipe/tasks/python/core:base_options",
+        "//mediapipe/tasks/python/core:optional_dependencies",
+        "//mediapipe/tasks/python/core:task_info",
+        "//mediapipe/tasks/python/vision/core:base_vision_task_api",
+        "//mediapipe/tasks/python/vision/core:image_processing_options",
+        "//mediapipe/tasks/python/vision/core:vision_task_running_mode",
+    ],
+)
diff --git a/mediapipe/tasks/python/vision/face_aligner.py b/mediapipe/tasks/python/vision/face_aligner.py
new file mode 100644
index 000000000..53bf71f35
--- /dev/null
+++ b/mediapipe/tasks/python/vision/face_aligner.py
@@ -0,0 +1,158 @@
+# Copyright 2023 The MediaPipe Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""MediaPipe face aligner task."""
+
+import dataclasses
+from typing import Optional
+
+from mediapipe.python import packet_creator
+from mediapipe.python import packet_getter
+from mediapipe.python._framework_bindings import image as image_module
+from mediapipe.tasks.cc.vision.face_stylizer.proto import face_stylizer_graph_options_pb2
+from mediapipe.tasks.python.core import base_options as base_options_module
+from mediapipe.tasks.python.core import task_info as task_info_module
+from mediapipe.tasks.python.core.optional_dependencies import doc_controls
+from mediapipe.tasks.python.vision.core import base_vision_task_api
+from mediapipe.tasks.python.vision.core import image_processing_options as image_processing_options_module
+from mediapipe.tasks.python.vision.core import vision_task_running_mode as running_mode_module
+
+_BaseOptions = base_options_module.BaseOptions
+_FaceStylizerGraphOptionsProto = (
+    face_stylizer_graph_options_pb2.FaceStylizerGraphOptions
+)
+_RunningMode = running_mode_module.VisionTaskRunningMode
+_ImageProcessingOptions = image_processing_options_module.ImageProcessingOptions
+_TaskInfo = task_info_module.TaskInfo
+
+_FACE_ALIGNMENT_IMAGE_NAME = 'face_alignment'
+_FACE_ALIGNMENT_IMAGE_TAG = 'FACE_ALIGNMENT'
+_NORM_RECT_STREAM_NAME = 'norm_rect_in'
+_NORM_RECT_TAG = 'NORM_RECT'
+_IMAGE_IN_STREAM_NAME = 'image_in'
+_IMAGE_OUT_STREAM_NAME = 'image_out'
+_IMAGE_TAG = 'IMAGE'
+_TASK_GRAPH_NAME = 'mediapipe.tasks.vision.face_stylizer.FaceStylizerGraph'
+
+
+@dataclasses.dataclass
+class FaceAlignerOptions:
+  """Options for the face aligner task.
+
+  Attributes:
+    base_options: Base options for the face aligner task.
+  """
+
+  base_options: _BaseOptions
+
+  @doc_controls.do_not_generate_docs
+  def to_pb2(self) -> _FaceStylizerGraphOptionsProto:
+    """Generates a FaceStylizerOptions protobuf object."""
+    base_options_proto = self.base_options.to_pb2()
+    base_options_proto.use_stream_mode = False
+    return _FaceStylizerGraphOptionsProto(base_options=base_options_proto)
+
+
+class FaceAligner(base_vision_task_api.BaseVisionTaskApi):
+  """Class that performs face alignment on images."""
+
+  @classmethod
+  def create_from_model_path(cls, model_path: str) -> 'FaceAligner':
+    """Creates a `FaceAligner` object from a face landmarker task bundle and the default `FaceAlignerOptions`.
+
+    Note that the created `FaceAligner` instance is in image mode, for
+    aligning one face on a single image input.
+
+    Args:
+      model_path: Path to the face landmarker task bundle.
+
+    Returns:
+      `FaceAligner` object that's created from the model file and the default
+      `FaceAlignerOptions`.
+
+    Raises:
+      ValueError: If failed to create `FaceAligner` object from the provided
+        file such as invalid file path.
+      RuntimeError: If other types of error occurred.
+    """
+    base_options = _BaseOptions(model_asset_path=model_path)
+    options = FaceAlignerOptions(base_options=base_options)
+    return cls.create_from_options(options)
+
+  @classmethod
+  def create_from_options(cls, options: FaceAlignerOptions) -> 'FaceAligner':
+    """Creates the `FaceAligner` object from face aligner options.
+
+    Args:
+      options: Options for the face aligner task.
+
+    Returns:
+      `FaceAligner` object that's created from `options`.
+
+    Raises:
+      ValueError: If failed to create `FaceAligner` object from
+        `FaceAlignerOptions` such as missing the model.
+      RuntimeError: If other types of error occurred.
+    """
+    task_info = _TaskInfo(
+        task_graph=_TASK_GRAPH_NAME,
+        input_streams=[
+            ':'.join([_IMAGE_TAG, _IMAGE_IN_STREAM_NAME]),
+            ':'.join([_NORM_RECT_TAG, _NORM_RECT_STREAM_NAME]),
+        ],
+        output_streams=[
+            ':'.join([_FACE_ALIGNMENT_IMAGE_TAG, _FACE_ALIGNMENT_IMAGE_NAME]),
+            ':'.join([_IMAGE_TAG, _IMAGE_OUT_STREAM_NAME]),
+        ],
+        task_options=options,
+    )
+    return cls(
+        task_info.generate_graph_config(enable_flow_limiting=False),
+        _RunningMode.IMAGE,
+        None,
+    )
+
+  def align(
+      self,
+      image: image_module.Image,
+      image_processing_options: Optional[_ImageProcessingOptions] = None,
+  ) -> image_module.Image:
+    """Performs face alignment on the provided MediaPipe Image.
+
+    Only use this method when the FaceAligner is created with the image
+    running mode.
+
+    Args:
+      image: MediaPipe Image.
+      image_processing_options: Options for image processing.
+
+    Returns:
+      The aligned face image. The aligned output image size is the same as the
+      model output size. None if no face is detected on the input image.
+
+    Raises:
+      ValueError: If any of the input arguments is invalid.
+      RuntimeError: If face alignment failed to run.
+    """
+    normalized_rect = self.convert_to_normalized_rect(
+        image_processing_options, image
+    )
+    output_packets = self._process_image_data({
+        _IMAGE_IN_STREAM_NAME: packet_creator.create_image(image),
+        _NORM_RECT_STREAM_NAME: packet_creator.create_proto(
+            normalized_rect.to_pb2()
+        ),
+    })
+    if output_packets[_FACE_ALIGNMENT_IMAGE_NAME].is_empty():
+      return None
+    return packet_getter.get_image(output_packets[_FACE_ALIGNMENT_IMAGE_NAME])