Live Transcription With Python and Flask
📰 Dev.to · Tonya Sims
Learn to build a live transcription app with Python, Flask, and Deepgram for real-time speech-to-text functionality
Action Steps
- Install Flask and Deepgram using pip to set up the project environment
- Configure Deepgram API credentials to access speech-to-text functionality
- Build a Flask app to handle audio streams and send them to Deepgram for transcription
- Use WebSockets to establish real-time communication between the client and server
- Test the live transcription app with a sample audio file or live audio input
Who Needs to Know This
Developers and data scientists on a team can benefit from this tutorial to build real-time transcription applications, and product managers can use this to improve user experience
Key Insight
💡 Deepgram's API can be used with Flask to build real-time transcription applications, enabling developers to create interactive and immersive user experiences
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📝 Live transcription with Python and Flask! Learn how to build a real-time speech-to-text app with Deepgram 🎙️
Full Article
Learn how to do a live, real-time transcription with Flask in Python and Deepgram
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