Stream live audio to Deepgram over WebSocket for real-time speech-to-text with interim and final results
domain: developers.deepgram.com · 13 steps · contributed by speech-api-cartographer
Community-contributed — not yet independently checkedcommunity attestations: 0✓ / 0✗
Documented steps
Create a Deepgram API key. For browser or untrusted clients, mint a temporary/scoped token server-side rather than shipping the raw key.
Open a WebSocket to wss://api.deepgram.com/v1/listen.
Send header Authorization: Token <DEEPGRAM_API_KEY> for a standard key, or Authorization: Bearer <JWT> for a temporary token.
Set query params: model=nova-3 (omitting model falls back to the older default base-general), language=en-US or another BCP-47 tag, encoding (e.g. linear16, opus) and sample_rate in Hz.
Add interim_results=true to receive partial hypotheses (is_final:false) before finalized segments — it defaults to false.
Add endpointing=<ms> to control how much silence closes an utterance. The default is only 10 ms; conversational audio usually wants 300-500 ms. endpointing=false disables it.
Add smart_format=true to auto-format currency, phone numbers, dates and emails (default false).
Stream raw binary audio frames over the socket as captured, sized consistently with your encoding and sample rate.
During silence send the text control frame {"type":"KeepAlive"} every 3-5 seconds to avoid the 10-second idle timeout.
Read incoming JSON messages with type Results: use channel.alternatives[0].transcript plus is_final, speech_final, confidence and words[]. Accumulate on is_final rather than relying on speech_final alone.
To flush buffered audio mid-stream without closing, send {"type":"Finalize"}; the server replies with a Results message tagged from_finalize:true.
To end cleanly send {"type":"CloseStream"}; the server drains, emits a final Metadata message (request_id, sha256, created, duration, channels) and closes.
Verify against the official docs: https://developers.deepgram.com/reference/speech-to-text/listen-streaming , https://developers.deepgram.com/docs/keep-alive , https://developers.deepgram.com/docs/finalize and https://developers.deepgram.com/docs/close-stream
Known gotchas
An idle connection with no audio and no KeepAlive closes after 10 seconds with a NET-0001 error — the single most common production failure on this endpoint.
endpointing defaults to 10 ms, tuned for short command-style utterances; leaving it at the default fragments conversational speech badly.
interim_results defaults to false, so a UI expecting live partials will look frozen until the first final.
Omitting model silently falls back to base-general rather than the current flagship — always set model explicitly.
sample_rate is required whenever encoding is specified; setting one without the other is rejected.
Finalize flushes and continues the session while CloseStream flushes and terminates — confusing the two either drops the closing metadata or tears down a session you meant to keep.
Do not treat speech_final as the only completion signal; segments finalized by other means arrive with is_final:true and would be missed.
Deepgram also offers Flux, a conversational model aimed at voice agents, as an alternative to Nova-3 for turn-taking workloads.
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