We're thrilled to release version 2.0 of the AssemblyAI Node SDK. The SDK has been rewritten from scratch using TypeScript and provides easy-to-use access to our API. You can use the SDK from Node.js (or a compatible framework) and enjoy an intuitive SDK with typed documentation whether you're using JavaScript or TypeScript.
Here are 3 samples of how you can use the new SDK.
1. Transcribe an audio or video file:
import { AssemblyAI } from "assemblyai"; const client = new AssemblyAI({ apiKey: process.env.ASSEMBLYAI_API_KEY, }) const transcript = await client.transcripts.create({ audio_url: './news.mp4', }) console.log(transcript.text)
Learn how to transcribe audio by following this step-by-step guide.
2. Talk to your audio data using LeMUR:
const { response } = await client.lemur.questionAnswer({ transcript_ids: [transcript.id], questions: [ { question: 'What are the highlights of the newscast?', answer_format: 'text', } ] }) console.log(response[0].question, response[0].answer)
With just a few lines of code, you can quickly transcribe your audio asynchronously and use LLMs on top of your spoken audio data using LeMUR.
3. Transcribe audio in real-time:
const rt = client.realtime.createService(); rt.on("transcript", (transcript: TranscriptMessage) => console.log('Transcript:', transcript)); rt.on("error", (error: Error) => console.error('Error', error)); rt.on("close", (code: number, reason: string) => console.log('Closed', code, reason)); await rt.connect(); // Pseudo code for getting audio from a microphone for example getAudio((chunk) => { rt.sendAudio(chunk); }); await rt.close();
Learn how to transcribe audio in real-time coming from a microphone by following this step-by-step guide.
To learn more about the SDK, check out the GitHub repository README and the AssemblyAI documentation.
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