Sonix audio 集成

使用 LangChain JavaScript 集成 Sonix audio document loader。

兼容性

Only available on Node.js.

This covers how to load document objects from an audio file using the Sonix API.

设置

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

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

npm

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.

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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将这些文档连接到 Claude、VSCode 等工具，通过 MCP 获取实时答案。

在 GitHub 上编辑此页面 或 提交 issue。