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Live Transcription With Python and Django

Blog post from Deepgram

Post Details
Company
Date Published
Author
Tonya Sims
Word Count
1,547
Company Posts That Month
32
Language
English
Hacker News Points
-
Post removed?
No
Summary

In this tutorial, the author demonstrates how to create a live voice-to-text transcription application using Python and Django frameworks along with Deepgram's AI speech recognition. The project involves setting up a virtual environment, installing necessary dependencies like Django, Deepgram SDK, dotenv library, and Django Channels. Then, the author guides through creating a Django project and app, integrating Django Channels, adding Deepgram API key, getting mic data from the browser, establishing WebSocket connections between server-browser and server-Deepgram, and finally running the application to get real-time transcriptions. The code for this project is available on Github with instructions on how to run it.

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Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 4 1,262 387 113 +28%
Serverless 1 585 126 56 -21%
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