Transcription en temps réel avec Deepgram

VérifiéSûr

Implémente la transcription en temps réel en streaming via l'API WebSocket de Deepgram. Utilisé pour construire des applications de transcription en direct, interfaces vocales ou traitement audio en temps réel. Gère les connexions WebSocket, les résultats intermédiaires et le streaming de données audio.

Spar Skills Guide Bot
Data & IAIntermédiaire
7002/06/2026
Claude CodeCursorWindsurfCopilotCodex
#deepgram#real-time-transcription#live-audio#streaming-speech#web-sockets

Recommandé pour

Notre avis

Implémente une transcription en temps réel via l'API WebSocket de Deepgram pour le traitement audio en direct.

Points forts

  • Implémentation TypeScript complète avec gestion d'événements
  • Intègre la capture microphone dans le navigateur
  • Gère les erreurs avec reconnexion automatique
  • Configuration flexible du modèle et de la langue

Limites

  • Nécessite une clé API Deepgram et une connexion réseau
  • La latence peut varier selon la qualité audio
  • Non adapté pour l'audio pré-enregistré
Quand l'utiliser

Utilisez ce skill pour construire des applications de transcription en direct, des interfaces vocales ou des pipelines de traitement audio en temps réel.

Quand l'éviter

Ne l'utilisez pas pour la transcription par lots hors ligne ou lorsque la reconnaissance vocale sans réseau est requise.

Analyse de sécurité

Sûr
Score qualité85/100

The skill provides guidance and code examples for using Deepgram's WebSocket API. It does not contain any destructive or exfiltrating commands, and the allowed Bash tools are for standard package installation.

Aucun point d'attention détecté

Exemples

Real-time streaming setup
Set up a real-time streaming transcription service with Deepgram using the WebSocket API.
Live microphone transcription
Implement a live transcription client that captures microphone audio and displays interim results.
Streaming pipeline with error handling
Create a Deepgram streaming pipeline with auto-reconnect and error handling.

name: deepgram-core-workflow-b description: | Implement real-time streaming transcription with Deepgram. Use when building live transcription, voice interfaces, or real-time audio processing applications. Trigger with phrases like "deepgram streaming", "real-time transcription", "live transcription", "websocket transcription", "voice streaming". allowed-tools: Read, Write, Edit, Bash(npm:), Bash(pip:), Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Deepgram Core Workflow B: Real-time Streaming

Overview

Implement real-time streaming transcription using Deepgram's WebSocket API for live audio processing.

Prerequisites

  • Completed deepgram-install-auth setup
  • Understanding of WebSocket patterns
  • Audio input source (microphone or stream)

Instructions

Step 1: Set Up WebSocket Connection

Initialize a live transcription connection with Deepgram.

Step 2: Configure Stream Options

Set up interim results, endpointing, and language options.

Step 3: Handle Events

Implement handlers for transcript events and connection lifecycle.

Step 4: Stream Audio Data

Send audio chunks to the WebSocket connection.

Output

  • Live transcription WebSocket client
  • Event handlers for real-time results
  • Audio streaming pipeline
  • Graceful connection management

Error Handling

| Error | Cause | Solution | |-------|-------|----------| | Connection Closed | Network interruption | Implement auto-reconnect | | Buffer Overflow | Too much audio data | Reduce sample rate or chunk size | | No Transcripts | Silent audio | Check audio levels and format | | High Latency | Network/processing delay | Use interim results |

Examples

TypeScript WebSocket Client

// services/live-transcription.ts
import { createClient, LiveTranscriptionEvents } from '@deepgram/sdk';

export interface LiveTranscriptionOptions {
  model?: 'nova-2' | 'nova' | 'enhanced' | 'base';
  language?: string;
  punctuate?: boolean;
  interimResults?: boolean;
  endpointing?: number;
  vadEvents?: boolean;
}

export class LiveTranscriptionService {
  private client;
  private connection: any = null;

  constructor(apiKey: string) {
    this.client = createClient(apiKey);
  }

  async start(
    options: LiveTranscriptionOptions = {},
    handlers: {
      onTranscript?: (transcript: string, isFinal: boolean) => void;
      onError?: (error: Error) => void;
      onClose?: () => void;
    } = {}
  ): Promise<void> {
    this.connection = this.client.listen.live({
      model: options.model || 'nova-2',
      language: options.language || 'en',
      punctuate: options.punctuate ?? true,
      interim_results: options.interimResults ?? true,
      endpointing: options.endpointing ?? 300,
      vad_events: options.vadEvents ?? true,
    });

    this.connection.on(LiveTranscriptionEvents.Open, () => {
      console.log('Deepgram connection opened');
    });

    this.connection.on(LiveTranscriptionEvents.Transcript, (data: any) => {
      const transcript = data.channel.alternatives[0].transcript;
      const isFinal = data.is_final;

      if (transcript && handlers.onTranscript) {
        handlers.onTranscript(transcript, isFinal);
      }
    });

    this.connection.on(LiveTranscriptionEvents.Error, (error: Error) => {
      console.error('Deepgram error:', error);
      handlers.onError?.(error);
    });

    this.connection.on(LiveTranscriptionEvents.Close, () => {
      console.log('Deepgram connection closed');
      handlers.onClose?.();
    });
  }

  send(audioData: Buffer): void {
    if (this.connection) {
      this.connection.send(audioData);
    }
  }

  async stop(): Promise<void> {
    if (this.connection) {
      this.connection.finish();
      this.connection = null;
    }
  }
}

Browser Microphone Integration

// services/microphone.ts
import { LiveTranscriptionService } from './live-transcription';

export async function startMicrophoneTranscription(
  onTranscript: (text: string, isFinal: boolean) => void
): Promise<{ stop: () => void }> {
  const service = new LiveTranscriptionService(process.env.DEEPGRAM_API_KEY!);

  // Get microphone access
  const stream = await navigator.mediaDevices.getUserMedia({ audio: true });

  // Create audio context and processor
  const audioContext = new AudioContext({ sampleRate: 16000 });
  const source = audioContext.createMediaStreamSource(stream);
  const processor = audioContext.createScriptProcessor(4096, 1, 1);

  // Start transcription
  await service.start({
    model: 'nova-2',
    interimResults: true,
    punctuate: true,
  }, {
    onTranscript,
    onError: console.error,
  });

  // Process audio
  processor.onaudioprocess = (event) => {
    const inputData = event.inputBuffer.getChannelData(0);
    const pcmData = new Int16Array(inputData.length);

    for (let i = 0; i < inputData.length; i++) {
      pcmData[i] = Math.max(-32768, Math.min(32767, inputData[i] * 32768));
    }

    service.send(Buffer.from(pcmData.buffer));
  };

  source.connect(processor);
  processor.connect(audioContext.destination);

  return {
    stop: () => {
      processor.disconnect();
      source.disconnect();
      stream.getTracks().forEach(track => track.stop());
      service.stop();
    }
  };
}

Node.js with Audio File Streaming

// stream-file.ts
import { createReadStream } from 'fs';
import { LiveTranscriptionService } from './services/live-transcription';

async function streamAudioFile(filePath: string) {
  const service = new LiveTranscriptionService(process.env.DEEPGRAM_API_KEY!);

  const finalTranscripts: string[] = [];

  await service.start({
    model: 'nova-2',
    punctuate: true,
    interimResults: false,
  }, {
    onTranscript: (transcript, isFinal) => {
      if (isFinal) {
        finalTranscripts.push(transcript);
        console.log('Final:', transcript);
      }
    },
    onClose: () => {
      console.log('Complete transcript:', finalTranscripts.join(' '));
    },
  });

  // Stream file in chunks
  const stream = createReadStream(filePath, { highWaterMark: 4096 });

  for await (const chunk of stream) {
    service.send(chunk);
    // Pace the streaming to match real-time
    await new Promise(resolve => setTimeout(resolve, 100));
  }

  await service.stop();
}

Python Streaming Example

# services/live_transcription.py
from deepgram import DeepgramClient, LiveTranscriptionEvents, LiveOptions
import asyncio

class LiveTranscriptionService:
    def __init__(self, api_key: str):
        self.client = DeepgramClient(api_key)
        self.connection = None
        self.transcripts = []

    async def start(self, on_transcript=None):
        self.connection = self.client.listen.asynclive.v("1")

        async def on_message(self, result, **kwargs):
            transcript = result.channel.alternatives[0].transcript
            if transcript and on_transcript:
                on_transcript(transcript, result.is_final)

        async def on_error(self, error, **kwargs):
            print(f"Error: {error}")

        self.connection.on(LiveTranscriptionEvents.Transcript, on_message)
        self.connection.on(LiveTranscriptionEvents.Error, on_error)

        options = LiveOptions(
            model="nova-2",
            language="en",
            punctuate=True,
            interim_results=True,
        )

        await self.connection.start(options)

    def send(self, audio_data: bytes):
        if self.connection:
            self.connection.send(audio_data)

    async def stop(self):
        if self.connection:
            await self.connection.finish()

Auto-Reconnect Pattern

// services/resilient-live.ts
export class ResilientLiveTranscription {
  private service: LiveTranscriptionService;
  private reconnectAttempts = 0;
  private maxReconnectAttempts = 5;

  async connect(options: LiveTranscriptionOptions) {
    try {
      await this.service.start(options, {
        onClose: () => this.handleDisconnect(options),
        onError: (err) => console.error('Stream error:', err),
      });
      this.reconnectAttempts = 0;
    } catch (error) {
      await this.handleDisconnect(options);
    }
  }

  private async handleDisconnect(options: LiveTranscriptionOptions) {
    if (this.reconnectAttempts < this.maxReconnectAttempts) {
      this.reconnectAttempts++;
      const delay = Math.pow(2, this.reconnectAttempts) * 1000;
      console.log(`Reconnecting in ${delay}ms...`);
      await new Promise(r => setTimeout(r, delay));
      await this.connect(options);
    }
  }
}

Resources

Next Steps

Proceed to deepgram-common-errors for error handling patterns.

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