@pr0gramm/fluester

fluester – [ˈflʏstɐ]

Node.js bindings for OpenAI's Whisper. Hard-fork of whisper-node.

Features

• Output transcripts to JSON (also .txt .srt .vtt)
• Optimized for CPU (Including Apple Silicon ARM)
• Timestamp precision to single word

Installation

Requirements

• make and everything else listed as required to compile whisper.cpp
• Node.js >= 20

1. Add dependency to project

npm install @pr0gramm/fluester

1. Download whisper model of choice

npx --package @pr0gramm/fluester download-whisper

1. Compile whisper.cpp if you don't want to provide you own version:

npx --package @pr0gramm/fluester compile-whisper

Usage

import { createWhisperClient } from "@pr0gramm/fluester";

const client = createWhisperClient();

const transcript = await client.translate("example/sample.wav");

console.log(transcript); // output: [ {start,end,speech} ]

Output (JSON)

[
  {
    "start": "00:00:14.310", // time stamp begin
    "end": "00:00:16.480", // time stamp end
    "speech": "howdy" // transcription
  }
]

Usage with Additional Options

import whisper from "@pr0gramm/fluester";

const filePath = "example/sample.wav", // required

const options = {
  modelName: "tiny.en", // default
  modelPath: "/custom/path/to/model.bin", // use model in a custom directory
  whisperOptions: {
    generateTxt: false, // outputs .txt file
    generateSubtitles: false, // outputs .srt file
    generateVtt: false, // outputs .vtt file
    timestampSize: 10, // amount of dialogue per timestamp pair
    wordTimestamps: true // timestamp for every word
  }
}

const transcript = await whisper(filePath, options);

Made with

• A lot of love by @ariym at whisper-node
• Whisper OpenAI (using C++ port by: ggerganov)

Roadmap

• Nothing ¯\_(ツ)_/¯