Build a Real-Time Transcription App with React and Deepgram

A tutorial explains how to build a React-based real-time transcription application using Deepgram’s low-latency Nova-3 speech-to-text model and its Live Audio WebSocket API. The application captures microphone access through the MediaDevices API, divides audio into roughly 250-millisecond chunks with MediaRecorder, streams those chunks over a persistent WebSocket connection, and displays incoming transcription results dynamically in the interface. It contrasts Deepgram’s prerecorded and live transcription endpoints, describes response data such as transcripts, confidence scores, and word timestamps, and walks through creating a Vite React project with state for the transcript and recording status plus references for the microphone stream, recorder, and socket. A single toggle button starts or stops recording, while cleanup logic stops tracks, closes the socket, and ends the recorder; the resulting foundation can be extended for interviews, meetings, podcasts, accessibility tools, live captions, voice agents, and multilingual audio applications.

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