diff --git a/DemoPrograms/Demo_OpenCV_Webcam_ASCII.py b/DemoPrograms/Demo_OpenCV_Webcam_ASCII.py
new file mode 100644
index 00000000..6f4e13b1
--- /dev/null
+++ b/DemoPrograms/Demo_OpenCV_Webcam_ASCII.py
@@ -0,0 +1,58 @@
+from PIL import Image
+import numpy as np
+import PySimpleGUI as sg; font_size=6
+# import PySimpleGUIQt as sg; font_size=8            # if using, be sure and use the second layout that is commented out
+# import PySimpleGUIWeb as sg; font_size=12           # yes, it runs in a webpage too!
+import cv2
+
+"""
+    Interesting program that shows your webcam's image as ASCII text.  Runs in realtime, producing a stream of
+    images so that it is actually animated ASCII text. Wild stuff that came about from a post on Reddit of all
+    places.  The software bits that turn the image into ASCII text were shamelessly taken from this gist:
+    https://gist.github.com/cdiener/10491632
+    Brilliant work to have pulled off so much with so little Numpy
+    What's remarkable about this program is that the animation is created by updating individual Text Elements going
+    down the window, one line at a time, every time through the loop.  That's 48 lines of text every time. Rough
+    timing shows an animation of more than 10 fps when running any of the PySimpleGUI ports.
+"""
+
+# The magic bits that make the ASCII stuff work shamelessly taken from https://gist.github.com/cdiener/10491632
+chars = np.asarray(list(' .,:;irsXA253hMHGS#9B&@'))
+SC, GCF, WCF = .1, 1, 7/4
+
+sg.ChangeLookAndFeel('Black')   # make it look cool
+
+# define the window layout
+NUM_LINES = 48  # number of lines of text elements. Depends on cameras image size and the variable SC (scaller)
+layout =  [*[[sg.T(i,size=(120,1), font=('Courier', font_size), key='_OUT_'+str(i))] for i in range(NUM_LINES)],
+          [ sg.Button('Exit')]]
+
+# if using PySimpleGUIQt, use this layout instead.  The text rows are too far apart otherwise.
+# layout =  [*[[sg.T(i, size_px=(800,12), font=('Courier', font_size), key='_OUT_'+str(i))] for i in range(NUM_LINES)],
+#           [ sg.Button('Exit')]]
+
+
+
+# create the window and show it without the plot
+window = sg.Window('Demo Application - OpenCV Integration', layout, location=(800,400),
+                   no_titlebar=True, grab_anywhere=True, element_padding=(0,0))
+
+# ---===--- Event LOOP Read and display frames, operate the GUI --- #
+cap = cv2.VideoCapture(0)                               # Setup the OpenCV capture device (webcam)
+while True:
+    event, values = window.Read(timeout=0)
+    if event in ('Exit', None):
+        break
+    ret, frame = cap.read()                             # Read image from capture device (camera)
+
+    img = Image.fromarray(frame)  # create PIL image from frame
+    # More magic that coverts the image to ascii
+    S = (round(img.size[0] * SC * WCF), round(img.size[1] * SC))
+    img = np.sum(np.asarray(img.resize(S)), axis=2)
+    img -= img.min()
+    img = (1.0 - img / img.max()) ** GCF * (chars.size - 1)
+
+    # "Draw" the image in the window, one line of text at a time!
+    for i, r in enumerate(chars[img.astype(int)]):
+        window.Element('_OUT_'+str(i)).Update("".join(r))
+window.Close()