Automated summary
Implements real-time streaming transcription using Deepgram's WebSocket API for live audio processing.
Strengths
- Full TypeScript implementation with event handlers
- Includes browser microphone integration
- Handles errors with auto-reconnect
- Supports model and language configuration
Limitations
- Requires a Deepgram API key and network connectivity
- Latency can vary based on audio quality
- Not suitable for pre-recorded audio
Use for building live transcription, voice interfaces, or real-time audio processing applications.
Do not use for non-real-time batch transcription or when offline speech recognition is needed.
Security analysis
SafeThe 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.
No concerns found
How this analysis is madeExamples
Set up a real-time streaming transcription service with Deepgram using the WebSocket API.Implement a live transcription client that captures microphone audio and displays interim results.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-authsetup - 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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Original excerpt: Prerequisites
- Completed
deepgram-install-authsetup - Understanding of WebSocket patterns
- Audio input source (microphone or stream)
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