Whispermix

WhisperMix

WhisperMix transcribes audio to text with one API and multiple backends.

Use this skill when the user wants speech-to-text from an audio file (.mp3, .wav, .m4a, .ogg, .flac, .webm) in a Node.js project.

Do not use for TTS, translation, or live microphone streaming.

Choose a model (quick)

• Cloud, best quality/speed: groq/whisper-large-v3 or openai/whisper-1
• Local, fastest startup: efederici/parakeet-tdt-0.6b-v3-int4
• Local, better language control: xenova/whisper-large-v3

Important limits:

• Local models are file-only (fromFile), no fromStream.
• API models need OPENAI_API_KEY or GROQ_API_KEY.
• ffmpeg is required for long files.

Basic usage

Install:

npm install whispermix

File transcription:

import WhisperMix from 'whispermix';

const w = new WhisperMix({ model: 'groq/whisper-large-v3' });
const text = await w.fromFile('audio.mp3');
console.log(text);

Word timestamps:

import WhisperMix from 'whispermix';

const w = new WhisperMix({ model: 'openai/whisper-1' });
const result = await w.fromFile('audio.mp3', { wordTimestamps: true });
console.log(result.text);
console.log(result.words);

Troubleshooting

• OPENAI_API_KEY / GROQ_API_KEY is not set: set env var or use a local model.
• fromStream not supported: use fromFile with local models.
• Cannot find ffmpeg: install ffmpeg and retry.