whisper_library_flutter 0.0.0

Whisper Is Library for transcribe sound wav AKA Speech To Text Or Extract Text From Audio

Whisper Library

Whisper Library Is library for transcribe sound to wav

Demo

📚️ Docs

1. Documentation
2. Youtube
3. Telegram Support Group
4. Contact Developer (check social media or readme profile github)

🔖️ Features

1. ✅ 📱️ Cross Platform support (Device, Edge Severless functions)
2. ✅ 📜️ Standarization Style Code
3. ✅ ⌨️ Cli (Terminal for help you use this library or create project)
4. ✅ 🔥️ Api (If you developer bot / userbot you can use this library without interact cli just add library and use 🚀️)
5. ❌ 🧩️ Customizable Extension (if you want add extension so you can more speed up on development)
6. ❌ ✨️ Pretty Information (user friendly for newbie)

❔️ Fun Fact

This library 100% use on every my create project (App, Server, Bot, Userbot)

📈️ Proggres

• 10-02-2025 Starting Release Stable With core Features

📥️ Install Library

1. Dart

dart pub add whisper_library_dart

2. Flutter

flutter pub add whisper_library_flutter

🚀️ Quick Start

Example Quickstart script minimal for insight you or make you use this library because very simple

import 'dart:io';
import 'package:general_lib/general_lib.dart';
import 'package:whisper_library_dart/whisper_library_dart.dart';

void main(List<String> args) async {
  print("start");
  String whisperModelPath = "path_to_file/ggml-small.bin";
  final WhisperLibrary generalAiSpeechToText = WhisperLibrary(
    libraryWhisperPath: "path_to_file/libwhisper.so",
  );
  await generalAiSpeechToText.ensureInitialized();
  final isLoadedModel = generalAiSpeechToText.loadWhisperModel(
    whisperModelPath: whisperModelPath,
  );
  if (isLoadedModel == false) {
    print("cant loaded");
    exit(1);
  }
  File fileWav = File(
    "path_to_file_sound/jfk.wav",
  );
  await Future.delayed(Duration(seconds: 2));
  DateTime dateTime = DateTime.now();
  final result = await generalAiSpeechToText.transcribeToJson(
    fileWav: fileWav,
    useCountProccecors: 1,
    useCountThread: (Platform.numberOfProcessors / 2).toInt(),
  );
  print("seconds: ${DateTime.now().difference(dateTime)}");
  result.printPretty();

  exit(0);
}

Reference

1. Azkadev-Whisper Original Idea and concept library + Developer Maintance this library
2. Ggerganov-whisper.cpp ffi bridge main script so that this program can run