> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-update-1770920925-e15dbde.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Open AI whisper audio integration

> Integrate with the Open AI whisper audio document loader using LangChain JavaScript.

<Tip>
  **Compatibility**

  Only available on Node.js.
</Tip>

This covers how to load document objects from an audio file using the [Open AI Whisper](https://platform.openai.com/docs/guides/speech-to-text) API.

## Setup

To run this loader you will need to create an account on the Open AI and obtain an auth key from the [https://platform.openai.com/account](https://platform.openai.com/account) page.

## Usage

Once auth key is configured, you can use the loader to create transcriptions and then convert them into a Document.

```typescript theme={null}
import { OpenAIWhisperAudio } from "@langchain/community/document_loaders/fs/openai_whisper_audio";

const filePath = "./src/document_loaders/example_data/test.mp3";

const loader = new OpenAIWhisperAudio(filePath, {
  transcriptionCreateParams: {
    language: "en",
  },
});

const docs = await loader.load();

console.log(docs);
```

***

<Callout icon="pen-to-square" iconType="regular">
  [Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/oss/javascript/integrations/document_loaders/file_loaders/openai_whisper_audio.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).
</Callout>

<Tip icon="terminal" iconType="regular">
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</Tip>