Live Transcription With Python and FastAPI

📰 Dev.to · Tonya Sims

Learn how to build a live transcription system using Python, FastAPI, and Deepgram for real-time speech-to-text functionality

intermediate Published 2 Mar 2022
Action Steps
  1. Install FastAPI and Deepgram using pip to set up the project environment
  2. Create a new FastAPI app to handle live transcription requests
  3. Configure Deepgram API credentials to enable speech-to-text functionality
  4. Build a live transcription endpoint using FastAPI to stream audio and receive transcriptions
  5. Test the live transcription system with a sample audio file to verify functionality
Who Needs to Know This

Developers and data scientists on a team can benefit from this tutorial to build real-time transcription systems, and product managers can use this to inform product decisions related to speech-to-text functionality

Key Insight

💡 FastAPI and Deepgram can be used together to build a live transcription system that streams audio and receives transcriptions in real-time

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📢 Live transcription with Python and FastAPI! Learn how to build a real-time speech-to-text system with Deepgram 🎙️

Full Article

Learn how to do a live, real-time transcription with FastAPI in Python and Deepgram
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