assemblyai-core-workflow-a

name	assemblyai-core-workflow-a
description	Execute AssemblyAI primary workflow: async transcription with audio intelligence. Use when transcribing audio/video files, enabling speaker diarization, sentiment analysis, entity detection, PII redaction, or content moderation. Trigger with phrases like "assemblyai transcribe", "assemblyai transcription", "transcribe audio", "speaker diarization assemblyai".
allowed-tools	Read, Write, Edit, Bash(npm:*), Grep
version	1.5.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","ai","speech-to-text","assemblyai","transcription"]
compatibility	Designed for Claude Code

AssemblyAI Core Workflow A — Async Transcription

Overview

Primary money-path workflow: submit audio for async transcription with audio intelligence features. The SDK handles file upload (for local files), queues the transcription job, and polls until completion.

Prerequisites

• assemblyai package installed
• API key configured in ASSEMBLYAI_API_KEY

Instructions

Step 1: Basic Async Transcription

import { AssemblyAI } from 'assemblyai';

const client = new AssemblyAI({
  apiKey: process.env.ASSEMBLYAI_API_KEY!,
});

// Remote URL — SDK queues and polls automatically
const transcript = await client.transcripts.transcribe({
  audio: 'https://example.com/meeting-recording.mp3',
});

console.log(transcript.text);
console.log(`Duration: ${transcript.audio_duration}s`);
console.log(`Words: ${transcript.words?.length}`);

Step 2: Local File Upload

// The SDK uploads the file and transcribes in one call
const transcript = await client.transcripts.transcribe({
  audio: './recordings/interview.wav',
});

// Or from a buffer/stream
 fs  ;
 buffer = fs.();
 transcript2 =  client..({
  : buffer,
});