whisper_edge 0.1.1

On-device speech-to-text for Flutter, powered by whisper.cpp. Offline transcription with timestamps, language detection and model downloads, on iOS and Android.

example/lib/main.dart

import 'package:flutter/material.dart';

import 'package:whisper_edge/whisper_edge.dart';

void main() {
  runApp(const MyApp());
}

/// Minimal smoke-test app for the whisper_edge plugin.
///
/// It prints the whisper/ggml build info (which proves the native library
/// loads) and shows the typical usage flow in code. For a full app built on
/// this plugin, see the PopyTranscribe project.
class MyApp extends StatelessWidget {
  const MyApp({super.key});

  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      home: Scaffold(
        appBar: AppBar(title: const Text('whisper_edge example')),
        body: Padding(
          padding: const EdgeInsets.all(16),
          child: Column(
            crossAxisAlignment: CrossAxisAlignment.stretch,
            children: [
              const Text('Native build info:',
                  style: TextStyle(fontWeight: FontWeight.bold)),
              const SizedBox(height: 8),
              Expanded(
                child: SingleChildScrollView(
                  child: Text(WhisperTranscriber.systemInfo),
                ),
              ),
              const SizedBox(height: 16),
              const Text(
                'Usage:\n'
                '  final dir = await getApplicationSupportDirectory();\n'
                '  final path = await WhisperModelDownloader()\n'
                '      .download(WhisperModel.baseQ5_1, dir);\n'
                '  final t = await WhisperTranscriber.load(path);\n'
                '  final r = await t.transcribeWavFile(wavPath);\n'
                '  print(r.text);',
                style: TextStyle(fontFamily: 'monospace', fontSize: 12),
              ),
            ],
          ),
        ),
      ),
    );
  }
}