diff --git a/3-colour to 2-colour converter.py b/3-colour to 2-colour converter.py
new file mode 100644
index 0000000..130890f
--- /dev/null
+++ b/3-colour to 2-colour converter.py	
@@ -0,0 +1,60 @@
+"""
+This is a python image converter specific for the E-Paper-Calendar
+on github by aceisace from the link below.
+(https://github.com/aceisace/E-Paper-Calendar-with-iCal-sync-and-live-weather)
+
+It will convert the 3-colour .bmp's to 2-colour .bmp's so that they can be
+used even with the 2-Colour 7.5" E-Paper Display from waveshare.
+
+Please use with caution. If the input and output paths are the same, the
+convertr will overwrite all .bmp files. It's highly recommended to make a
+backup of the entire 'Calendar" folder first.
+
+Copyright by Ace-Laboratory
+"""
+
+#--------------only change the following two lines-----------------#
+input_path =  '/home/pi/E-Paper-Master/Calendar/other/'
+output_path = '/home/pi/E-Paper-Master/Calendar/other/'
+#-----------------no need to change anything below-----------------#
+
+
+"""
+Info: These path contain the bmps that require converting.
+1) /home/pi/E-Paper-Master/Calendar/months/
+3) /home/pi/E-Paper-Master/Calendar/other/
+"""
+import glob, os, errno
+from PIL import Image
+import PIL.ImageOps
+
+imagenames = []
+
+print('opening the specified directory...')
+
+os.chdir(input_path) #folder containg files
+for files in glob.glob('*.bmp'): #find bmp files
+    imagenames.append(files) #add these files to a list
+
+print('Found these files:', imagenames) #print this list
+
+# 0 is black, 255 is white, 127 is red.
+# The following will convert the 'red' parts to white parts.
+thresh = 100 # any value below 127 works.
+fn = lambda x : 255 if x > thresh else 0
+
+try:
+    print('checking if the output path exists...')
+    os.makedirs(output_path)
+except OSError as e:
+    print('Oh, the output path exists already.')
+    print('Will attempt to overwrite all files')
+    if e.errno != errno.EEXIST:
+        raise
+
+print('attempting to convert images...')   
+for files in imagenames:
+    ((Image.open(input_path+files)).convert('L').point(fn, mode='1').save(output_path+files))
+
+print('All done!')
+print('You can find your converted files in: ',output_path)