# openai-whisper-js

`openai-whisper-js` is a Node.js wrapper for the OpenAI Whisper library, enabling seamless audio transcription using Whisper models. This package simplifies the process of interacting with Whisper by providing a JavaScript interface to execute transcriptions.

## Features
- Supports all Whisper models (`tiny`, `base`, `small`, `medium`, `large`, `turbo`, `large-v3`).
- Easy-to-use API for audio transcription.
- Handles Python virtual environment initialization.
- Debug mode for detailed logs during transcription.


## Installation

First, install the package:

```bash
npm install openai-whisper-js
```

### Prerequisites

- Python 3 installed on your system.
- Bash shell (`/bin/bash`) available.
- Ensure `ffmpeg` is installed for audio processing, as required by Whisper.

## Getting Started


### Usage Example

```typescript
import path from 'path';
import { whisper } from 'openai-whisper-js';

async function transcribeAudio() {
  try {
    const result = await whisper.transcribe({
      modelName: 'tiny',
      audio: path.join(__dirname, './audio/test.mp3'),
      // debug: true, // Uncomment for detailed logs
    });

    console.log('Transcription Result:', result);
  } catch (error) {
    console.error('Error during transcription:', error);
  }
}

transcribeAudio();
```

### Output
- On success, the transcription of the audio file will be printed to the console.
- If there’s an error, it will be logged to the console.

## API Reference

### `whisper.transcribe(options: ITranscribeOptions): Promise<string>`

Transcribes an audio file using the specified Whisper model.

#### Parameters
- **`modelName`** *(required)*: Whisper model to use. Supported values: `'tiny' | 'base' | 'small' | 'medium' | 'large' | 'turbo' | 'large-v3'`.
- **`audio`** *(required)*: Path to the audio file for transcription.
- **`debug`** *(optional)*: Boolean flag for enabling debug mode. Default: `false`.

#### Returns
A `Promise<string>` resolving to the transcription text.

### Advanced Options
You can extend the transcription options by modifying the output format or directory:

```typescript
await whisper.transcribe({
  modelName: 'base',
  audio: path.join(__dirname, './audio/test.mp3'),
  debug: true,
});
```

## Contributing

Contributions are welcome! Please open an issue or submit a pull request to improve the package.

## License

This project is licensed under the MIT License. See the [LICENSE](./LICENSE) file for details.

## Support

For issues or feature requests, visit the [GitHub repository](https://github.com/AhmedAdelFahim/openai-whisper-js/issues).

## Acknowledgments

- [OpenAI Whisper](https://github.com/openai/whisper) for the transcription capabilities.
- Inspiration from audio transcription libraries.

---

Developed by Ahmed Adel.