Live Transcription With Python and Django
Blog post from Deepgram
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.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 4 | 1,262 | 387 | 113 | +28% |
| Serverless | 1 | 585 | 126 | 56 | -21% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.