Package Exports

@pr0gramm/fluester
@pr0gramm/fluester/dist/index.js

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Readme

fluester – [ˈflʏstɐ]

License

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

Add dependency to project

npm install @pr0gramm/fluester

Download whisper model of choice

npx --package @pr0gramm/fluester download-whisper

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)_/¯