> ## Documentation Index
> Fetch the complete documentation index at: https://nvd-54.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Sonix audio 集成

> 使用 LangChain JavaScript 集成 Sonix audio document loader。

<Tip>
  **兼容性**

  Only available on Node.js.
</Tip>

This covers how to load document objects from an audio file using the [Sonix](https://sonix.ai/) API.

## 设置

To run this loader you will need to create an account on the [https://sonix.ai/](https://sonix.ai/) and obtain an auth key from the [https://my.sonix.ai/api](https://my.sonix.ai/api) page.

You'll also need to install the `sonix-speech-recognition` library:

```bash npm theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
npm install @langchain/community @langchain/core sonix-speech-recognition
```

## 用法

Once auth key is configured, you can use the loader to create transcriptions and then convert them into a Document.
In the `request` parameter, you can either specify a local file by setting `audioFilePath` or a remote file using `audioUrl`.
You will also need to specify the audio language. See the [list of supported Sonix languages](https://sonix.ai/docs/api#languages).

```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
import { SonixAudioTranscriptionLoader } from "@langchain/community/document_loaders/web/sonix_audio";

const loader = new SonixAudioTranscriptionLoader({
  sonixAuthKey: "SONIX_AUTH_KEY",
  request: {
    audioFilePath: "LOCAL_AUDIO_FILE_PATH",
    fileName: "FILE_NAME",
    language: "en",
  },
});

const docs = await loader.load();

console.log(docs);
```

***

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