diff --git a/python-server/data/.empty b/python-server/data/.empty
new file mode 100644
index 0000000..e69de29
diff --git a/python-server/exec_server.py b/python-server/exec_server.py
index 59cd8cb..66e7356 100755
--- a/python-server/exec_server.py
+++ b/python-server/exec_server.py
@@ -20,7 +20,6 @@ class AppRequestHandler(socketserver.BaseRequestHandler):
                 data += tmp[:-len("\nterminate\n")]
               break
           data += tmp
-        print("Request: {}".format(data))
         retval = server_interface.parse_request(data)
         self.request.send(retval)
         self.request.send(b"terminate\n")
diff --git a/python-server/server_interface.py b/python-server/server_interface.py
index c9f6b65..b9fba50 100644
--- a/python-server/server_interface.py
+++ b/python-server/server_interface.py
@@ -1,15 +1,29 @@
+import speech
+import filesystem
+
+MAIN_DIR = b"data/"
+
 def parse_request(data):
     ''' parse request and call correct function '''
     
-    # echo/test connection
+    # echo/test connection #
     cleared_data = is_data_type(b"ECHOREQUEST,",data)
     if cleared_data:
         return cleared_data
+    
+    # handle audio transmission #
     cleared_data = is_data_type(b"AUDIO_TRANSMISSION,",data)
     if cleared_data:
-        with open("test.wav","wb") as f:
-            f.write(cleared_data)
-        return b"SUCCESS"
+        filename = None
+        try:
+            filename, base64_string = cleared_data.split(b',')
+            filename = MAIN_DIR + filename.split(b"/")[-1] + b".wav"
+            filename = filename.decode("utf-8")
+        except ValueError:
+            return b"ERROR_MALFORMED_REQUEST"
+        ret = filesystem.save_audio(filename, base64_string)
+        speech.async_create_transcript(filename)
+        return ret
 
     # other shit
     return b"UNRECOGNIZED_SERVER_OPTION\n"
diff --git a/python-server/speech.py b/python-server/speech.py
index bb9f145..753b34a 100644
--- a/python-server/speech.py
+++ b/python-server/speech.py
@@ -1,8 +1,20 @@
 import speech_recognition as spr
-def analyse(file_path):
+import multiprocessing as mp
+import os.path
+import filesystem
+import log
+
+def async_create_transcript(filename):
+    mp.Process(target=create_and_save_transcript,args=(filename,)).start()
+
+def create_and_save_transcript(filename):
+    transcript = analyse(filename)
+    filesystem.save_transcript(transcript)
+
+def analyse(filename):
     ''' returns the transcripted audio, or None if the analysis fails '''
     recognizer = spr.Recognizer()
-    with spr.AudioFile(file_path) as source:
+    with spr.AudioFile(filename) as source:
         audio = recognizer.record(source)
 
     try: