diff --git a/src/eyetrax/app/demo.py b/src/eyetrax/app/demo.py
index 09d679e..7949855 100644
--- a/src/eyetrax/app/demo.py
+++ b/src/eyetrax/app/demo.py
@@ -1,9 +1,7 @@
 import time
 import cv2
 import numpy as np
-import argparse
 import os
-
 from eyetrax.utils.screen import get_screen_size
 from eyetrax.gaze import GazeEstimator
 from eyetrax.calibration import (
@@ -18,21 +16,12 @@ from eyetrax.filters import (
     KDESmoother,
     NoSmoother,
 )
+from eyetrax.cli import parse_common_args
 
 
 def run_demo():
-    parser = argparse.ArgumentParser(
-        description="Gaze Estimation with Kalman Filter or KDE"
-    )
-    parser.add_argument("--filter", choices=["kalman", "kde", "none"], default="none")
-    parser.add_argument("--camera", type=int, default=0)
-    parser.add_argument(
-        "--calibration", choices=["9p", "5p", "lissajous"], default="9p"
-    )
-    parser.add_argument("--background", type=str, default=None)
-    parser.add_argument("--confidence", type=float, default=0.5, help="0 < value < 1")
-    parser.add_argument("--model", default="ridge", help="Registered model to use")
-    args = parser.parse_args()
+
+    args = parse_common_args()
 
     filter_method = args.filter
     camera_index = args.camera
diff --git a/src/eyetrax/app/virtualcam.py b/src/eyetrax/app/virtualcam.py
index 63e7aed..1254abd 100644
--- a/src/eyetrax/app/virtualcam.py
+++ b/src/eyetrax/app/virtualcam.py
@@ -3,7 +3,6 @@ import time
 import cv2
 import numpy as np
 import pyvirtualcam
-
 from eyetrax.utils.screen import get_screen_size
 from eyetrax.gaze import GazeEstimator
 from eyetrax.calibration import (
@@ -18,17 +17,12 @@ from eyetrax.filters import (
     KDESmoother,
     NoSmoother,
 )
+from eyetrax.cli import parse_common_args
 
 
 def run_virtualcam():
-    parser = argparse.ArgumentParser(description="Virtual Camera Gaze Overlay")
-    parser.add_argument("--filter", choices=["kalman", "kde", "none"], default="none")
-    parser.add_argument("--camera", type=int, default=0)
-    parser.add_argument(
-        "--calibration", choices=["9p", "5p", "lissajous"], default="9p"
-    )
-    parser.add_argument("--confidence", type=float, default=0.5)
-    args = parser.parse_args()
+
+    args = parse_common_args()
 
     filter_method = args.filter
     camera_index = args.camera
@@ -36,6 +30,7 @@ def run_virtualcam():
     confidence_level = args.confidence
 
     gaze_estimator = GazeEstimator()
+
     if calibration_method == "9p":
         run_9_point_calibration(gaze_estimator, camera_index=camera_index)
     elif calibration_method == "5p":
diff --git a/src/eyetrax/cli.py b/src/eyetrax/cli.py
new file mode 100644
index 0000000..d4bead3
--- /dev/null
+++ b/src/eyetrax/cli.py
@@ -0,0 +1,44 @@
+import argparse
+
+
+def parse_common_args():
+
+    parser = argparse.ArgumentParser(description="Common Gaze Estimation Arguments")
+
+    parser.add_argument(
+        "--filter",
+        choices=["kalman", "kde", "none"],
+        default="none",
+        help="Select the filter to apply to gaze estimation, options are 'kalman', 'kde', or 'none'",
+    )
+    parser.add_argument(
+        "--camera",
+        type=int,
+        default=0,
+        help="Camera index for video capture, default is 0 (first camera)",
+    )
+    parser.add_argument(
+        "--calibration",
+        choices=["9p", "5p", "lissajous"],
+        default="9p",
+        help="Calibration method for gaze estimation, options are '9p', '5p', or 'lissajous'",
+    )
+    parser.add_argument(
+        "--background",
+        type=str,
+        default=None,
+        help="Path to a custom background image (optional)",
+    )
+    parser.add_argument(
+        "--confidence",
+        type=float,
+        default=0.5,
+        help="Confidence level for KDE smoothing, range 0 to 1",
+    )
+    parser.add_argument(
+        "--model",
+        default="ridge",
+        help="The machine learning model to use for gaze estimation, default is 'ridge'",
+    )
+
+    return parser.parse_args()