real-time-asr

Here are 13 public repositories matching this topic...

deepgram-starters / flask-live-transcription

Get started using Deepgram's Live Transcription with this Flask demo app

python flask demo quickstart deepgram real-time-transcription real-time-asr live-transcription live-stt streaming-transcription live-speech-to-text

Updated Mar 14, 2026
Python

deepgram-starters / node-live-transcription

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Get started using Deepgram's Live Transcription with this Node demo app

javascript demo node quickstart deepgram real-time-transcription real-time-asr live-transcription live-stt streaming-transcription live-speech-to-text

Updated Feb 28, 2026
JavaScript

deepgram-starters / go-live-transcription

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Get started using Deepgram's Live Transcription with this Go demo app

go demo quickstart deepgram real-time-transcription real-time-asr live-transcription live-stt streaming-transcription live-speech-to-text

Updated Feb 28, 2026
Go

deepgram-starters / django-live-transcription

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Get started using Deepgram's Live Transcription with this Django demo app

python demo django quickstart deepgram real-time-transcription real-time-asr live-transcription live-stt streaming-transcription live-speech-to-text

Updated Mar 14, 2026
Python

deepgram-starters / fastapi-live-transcription

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Get started using Deepgram's Live STT with this FastAPI demo app

python demo quickstart fastapi deepgram real-time-transcription real-time-asr live-transcription live-stt streaming-transcription live-speech-to-text

Updated Mar 14, 2026
Python

deepgram-starters / deno-live-transcription

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Get started using Deepgram's Live Transcription with this Deno demo app

demo typescript quickstart deno deepgram real-time-transcription real-time-asr live-transcription live-stt streaming-transcription live-speech-to-text

Updated Feb 28, 2026
TypeScript

adityakamat24 / RTGX-Real-Time-Glossary-eXplainer

Sponsor

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RTGX is an AI-powered real-time glossary explainer that adds contextual subtitles during live lectures. It transcribes speech, identifies complex terms, and provides instant, context-aware definitions using LLM, built for accessibility and multi-language support.