AssemblyAI Transcription & Audio Intelligence
AssemblyAI provides audio transcription plus AI-powered analysis layers: sentiment, entities, speakers, chapters, and LeMUR for LLM-over-audio tasks.
Auth & Setup
npm install assemblyai
API key: D:\Ecosystem\secrets\MASTER_API_KEYS.env → ASSEMBLYAI_API_KEY
Base URL: https://api.assemblyai.com/v2/
Recommended model: universal-2 (not nano — deprecated)
Basic Transcription (Node.js SDK)
import { AssemblyAI } from 'assemblyai';
const client = new AssemblyAI({ apiKey: process.env.ASSEMBLYAI_API_KEY });
const transcript = await client.transcripts.transcribe({
audio_url: 'https://example.com/recording.mp3',
speech_model: 'universal-2'
});
console.log(transcript.text);
Transcription with Intelligence Features
const transcript = await client.transcripts.transcribe({
audio_url: 'https://example.com/call.mp3',
sentiment_analysis: true,
entity_detection: true,
speaker_labels: true, // diarization — who said what
auto_chapters: true, // automatic chapter markers
summarization: true,
summary_model: 'informative',
summary_type: 'bullets'
});
// Speaker labels
transcript.utterances.forEach(u => {
console.log(`Speaker ${u.speaker}: ${u.text}`);
});
// Sentiment per sentence
transcript.sentiment_analysis_results.forEach(r => {
console.log(`${r.sentiment}: ${r.text}`);
});
LeMUR — LLM Over Audio
Run any Claude prompt against the audio without transcribing first.
const response = await client.lemur.task({
transcript_ids: [transcript.id],
prompt: 'Summarize the key objections raised and how they were handled.',
final_model: 'anthropic/claude-3-5-sonnet'
});
console.log(response.response);
Async Pattern (REST API)
# Step 1: Submit
curl -X POST https://api.assemblyai.com/v2/transcript \
-H "Authorization: $ASSEMBLYAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{"audio_url": "https://example.com/audio.mp3", "speech_model": "universal-2"}'
# Returns: {"id": "abc123", "status": "processing"}
# Step 2: Poll (10s interval)
curl https://api.assemblyai.com/v2/transcript/abc123 \
-H "Authorization: $ASSEMBLYAI_API_KEY"
Intelligence Feature Cost Matrix
| Feature | Extra Cost | Use Case | |---------|-----------|----------| | sentiment_analysis | Low | Call coaching, review mining | | entity_detection | Low | CRM extraction, lead qualification | | speaker_labels | Low | Multi-party call diarization | | auto_chapters | Free | Video chapter markers | | summarization | Low | Executive call summaries | | LeMUR | Per token | Any LLM analysis over audio |
Use Cases for Video Production
- Transcribe client testimonial recordings for captions
- Extract chapter markers from long-form video recordings
- Analyze call recordings for script research (real objection language)
- Generate SRT files for video captioning pipeline
Related Topics
- [[merlino-voice]] — generate TTS audio for videos
- [[social-transcript-extractor]] — extract transcripts from social platforms
- [[yt-transcript-pipeline]] — YouTube transcript automation
#video-sop #assemblyai #transcription #audio #tts #call-analysis