Whisper Speech-to-Text is a JavaScript library that allows you to record audio from a user's microphone, and then transcribe the audio into text using OpenAI's Whisper ASR system. This library is designed to be used in web applications.
- Real-time transcription of speech to text using OpenAI's Whisper ASR system.
- Easy to use API for starting, pausing, resuming, and stopping recordings.
- Automatic handling of microphone permissions and audio recording.
npm i whisper-speech-to-text
// Import the WhisperSTT class from the library
import { WhisperSTT } from "whisper-speech-to-text";
// Create a new instance of the WhisperSTT class, passing your OpenAI API key to the constructor
const whisper = new WhisperSTT("your-openai-api-key");
// Start recording audio
await whisper.startRecording();
// Pause the recording
await whisper.pauseRecording();
// Resume the recording
await whisper.resumeRecording();
// Stop the recording and get the transcription
await whisper.stopRecording((text) => {
console.log("Transcription:", text);
});
The WhisperSTT
class has the following methods:
startRecording()
: Starts recording audio from the user's microphone.pauseRecording()
: Pauses the current recording.resumeRecording()
: Resumes a paused recording.stopRecording(onFinish: (text: string) => void)
: Stops the current recording and transcribes the audio into text. The transcription is passed to theonFinish
callback.
Contributions to this project are welcome! If you would like to contribute, please follow these steps:
- Fork the repository on GitHub.
- Clone your fork to your local machine.
- Create a new branch for your changes.
- Make your changes and commit them to your branch.
- Push your changes to your fork on GitHub.
- Open a pull request from your branch to the main repository.
This library is not officially associated with OpenAI. Please use responsibly and ensure that your use case complies with OpenAI's use case policy.
If you encounter any problems or have any questions, please open an issue on the GitHub repository.