Deepgram Rust Speech To Text

Using Deepgram Speech-to-Text (Rust SDK)

Use this skill for prerecorded transcription, live streaming transcription, or when mapping Deepgram docs to the Rust crate's real listen surface.

When to use this product

• Transcribing local files, URLs, or in-memory audio with Deepgram::transcription().
• Streaming audio over WebSocket with stream_request() / stream_request_with_options(...).
• Using common::options::Options for STT features such as model, language, punctuate, diarize, smart_format, utterances, and streaming knobs like endpointing.

This skill covers Nova models on /v1/listen — Deepgram's general-purpose STT family (nova-3, nova-2, nova, enhanced, base). Both Nova and Flux are actively maintained, industry-leading STT model families.

Use a different skill when:

• You need conversational-audio transcription with built-in turn detection (voice agents, interactive assistants) → deepgram-rust-conversational-stt (Flux on /v2/listen).
• You want analytics overlays on the transcript (summarize, sentiment, topics, intents) → deepgram-rust-audio-intelligence (same /v1/listen endpoint, different params).
• You need a full-duplex voice agent (STT + LLM + TTS in one WSS) → deepgram-rust-voice-agent.

Authentication

deepgram defaults to manage + listen + speak. For STT-only installs, trim features explicitly:

[dependencies]
deepgram = { version = "0.10.0", default-features = false, features = ["listen"] }
tokio = { version = "1", features = ["full"] }
futures = "0.3"

use deepgram::Deepgram;

let dg = Deepgram::new(std::env::var("DEEPGRAM_API_KEY")?)?;

• API keys use Authorization: Token <api_key>.
• Temporary tokens use Deepgram::with_temp_token(...) and send Bearer, but are mainly useful for voice APIs rather than Manage APIs.
• Self-hosted installs can use Deepgram::with_base_url(...) or Deepgram::with_base_url_and_api_key(...).

Quick start

Quick start: prerecorded file transcription

use deepgram::{
    common::{
        audio_source::AudioSource,
        options::{Language, Options},
    },
    Deepgram,
};
use tokio::fs::File;

static PATH_TO_FILE: &str = "examples/audio/bueller.wav";

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let api_key = std::env::var("DEEPGRAM_API_KEY")?;
    let dg = Deepgram::new(&api_key)?;

    let file = File::open(PATH_TO_FILE).await?;
    let source = AudioSource::from_buffer_with_mime_type(file, "audio/wav");

    let options = Options::builder()
        .punctuate(true)
        .language(Language::en_US)
        .build();

    let response = dg.transcription().prerecorded(source, &options).await?;
    println!("{}", response.results.channels[0].alternatives[0].transcript);
    Ok(())
}

Quick start: live WebSocket transcription

use std::time::Duration;

use deepgram::{
    common::options::{Encoding, Endpointing, Language, Options},
    Deepgram,
};
use futures::stream::StreamExt;

static PATH_TO_FILE: &str = "examples/audio/bueller.wav";
static AUDIO_CHUNK_SIZE: usize = 3174;
static FRAME_DELAY: Duration = Duration::from_millis(16);

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let api_key = std::env::var("DEEPGRAM_API_KEY")?;
    let dg = Deepgram::new(&api_key)?;

    let options = Options::builder()
        .smart_format(true)
        .language(Language::en_US)
        .build();

    let mut results = dg
        .transcription()
        .stream_request_with_options(options)
        .keep_alive()
        .encoding(Encoding::Linear16)
        .sample_rate(44100)
        .channels(2)
        .endpointing(Endpointing::CustomDurationMs(300))
        .interim_results(true)
        .utterance_end_ms(1000)
        .vad_events(true)
        .no_delay(true)
        .file(PATH_TO_FILE, AUDIO_CHUNK_SIZE, FRAME_DELAY)
        .await?;

    println!("Deepgram Request ID: {}", results.request_id());
    while let Some(result) = results.next().await {
        println!("{result:?}");
    }

    Ok(())
}

Key parameters

• Prerecorded entrypoints: prerecorded(...), prerecorded_callback(...), make_prerecorded_request_builder(...).
• Streaming entrypoints: stream_request(), stream_request_with_options(options), then .file(...), .stream(...), or .handle().await?.
• Core Options builder fields: model, language, punctuate, smart_format, diarize, multichannel, utterances, detect_language, keywords, search, replace, paragraphs.
• Streaming-only builder fields: encoding, sample_rate, channels, endpointing, utterance_end_ms, interim_results, no_delay, vad_events, keep_alive, callback.
• Main response types: prerecorded common::batch_response::Response; live common::stream_response::StreamResponse.

API reference (layered)

1. In-repo
   • README.md
   • src/listen/rest.rs
   • src/listen/websocket.rs
   • src/common/options.rs
   • examples/transcription/rest/prerecorded_from_file.rs
   • examples/transcription/websocket/simple_stream.rs
2. OpenAPI
   • Raw spec: https://developers.deepgram.com/openapi.yaml
   • Pre-recorded reference: https://developers.deepgram.com/reference/speech-to-text/listen-pre-recorded
3. AsyncAPI
   • Raw spec: https://developers.deepgram.com/asyncapi.yaml
   • Streaming reference: https://developers.deepgram.com/reference/speech-to-text/listen-streaming
4. Context7
   • /llmstxt/developers_deepgram_llms_txt
5. Product docs
   • https://developers.deepgram.com/docs/stt/getting-started

Gotchas

1. Use listen feature gates correctly. STT modules are behind the listen Cargo feature.
2. Options is by value for WebSocket builders. stream_request_with_options(options) takes ownership, unlike prerecorded APIs that take &Options.
3. Live and prerecorded responses differ. Intelligence-heavy fields such as summary, topics, and sentiments live on prerecorded response types, not StreamResponse.
4. Audio pacing matters. The example .file(...) helpers assume realistic chunk sizes and delays; sending audio too fast can produce bad streaming behavior.
5. Use Token, not Bearer, for API keys. Bearer is only for temporary tokens.

Example files in this repo

• examples/transcription/rest/prerecorded_from_file.rs
• examples/transcription/rest/prerecorded_from_url.rs
• examples/transcription/rest/callback.rs
• examples/transcription/rest/make_prerecorded_request_builder.rs
• examples/transcription/websocket/simple_stream.rs
• examples/transcription/websocket/callback_stream.rs
• examples/transcription/websocket/microphone_stream.rs
• examples/transcription/websocket/16_keepalive_close_stream.rs

Central product skills

For cross-language Deepgram product knowledge — the consolidated API reference, documentation finder, focused runnable recipes, third-party integration examples, and MCP setup — install the central skills:

npx skills add deepgram/skills

This SDK ships language-idiomatic code skills; deepgram/skills ships cross-language product knowledge (see api, docs, recipes, examples, starters, setup-mcp).