In this tutorial, we learn how to transcribe voice calls using Twilio and Python by combining it with the Deepgram Speech Recognition API. We first set up a virtual environment for our project and install necessary dependencies such as deepgram-sdk, twilio, python-dotenv, Flask, pysondb, and 'flask[async]'. Then we create a Flask application that runs without errors and set up an endpoint to handle incoming calls. We also store our environment variables in a .env file. Next, we implement the /recordings endpoint which uses Deepgram's speech-to-text feature to transcribe the audio of our call. We then add the utterances to the calls database. Finally, we create a /transcribe route and an index.html file that displays the phone speech-to-text transcript. After making a phone call and engaging in a conversation with the provided phone number, we can hang up and see the transcript appear in our browser. This project demonstrates how to build a speech-to-text Python application using Twilio and Deepgram.