speech_to_text_pro #

A production-ready, high-performance Flutter plugin for speech-to-text recognition on Android, iOS, macOS, and Web. This plugin is designed for developers who need more than just basic voice commands—it offers Infinite Continuous Listening, Smart Transcription Sticking, and Deep Metadata for AI-driven applications.

🚀 Comparison: Which Mode to Use? #

🏁 0. Initialization #

Before using either mode, you must initialize the plugin. This checks for hardware availability and sets up global status/error listeners.

final _plugin = SpeechToTextPro();

bool isAvailable = await _plugin.initialize(
  onStatus: (status) => print('Engine Status: $status'),
  onError: (error) => print('Engine Error: $error'),
);

if (isAvailable) {
  // Now you can call listen() or start()
}

🔐 Permission Check #

You can explicitly check for permissions at any time:

bool hasPermission = await _plugin.hasPermission();

Note: The listen() and start() methods also handle permission requests internally.

🔄 Lifecycle Best Practices #

For the best experience, manage the plugin within your widget's lifecycle.

1. Initialize in initState #

Always initialize the plugin and set up your listeners (especially for Pro mode streams) inside initState.

StreamSubscription? _subscription;

@override
void initState() {
  super.initState();
  _initSpeech();
}

void _initSpeech() async {
  bool available = await _plugin.initialize();
  if (available) {
    // For Pro Mode, subscribe to the stream here
    _subscription = _plugin.onTranscriptUpdate.listen((transcript) {
      setState(() => _text = transcript.fullText);
    });
  }
}

2. Cleanup in dispose #

To prevent memory leaks and ensure the microphone is released, always call stop() or cancel() and cancel any stream subscriptions in your dispose method.

@override
void dispose() {
  _subscription?.cancel();
  _plugin.stop(); // Ensures mic is closed
  super.dispose();
}

🛠 1. Standard Mode (Deep Control) #

Perfect for apps that need precise feedback on exactly what the microphone is doing for short-form input.

Usage #

_plugin.listen(
  onResult: (SpeechResult result) {
    print('Recognized: ${result.text}');
    print('Confidence: ${result.confidence}');
    print('Final: ${result.isFinal}');
  },
  onVolumeChanged: (level) => print('Volume: $level'),
  onSpeechStart: () => print('Speech started'),
  onSpeechEnd: () => print('Speech ended'),
  onSpeaking: () => print('User is speaking...'),
  onSilence: () => print('Silence detected'),
  onNoiseDetected: () => print('Noise detected'),
  onMicOpened: () => print('Mic opened'),
  onMicClosed: () => print('Mic closed'),
  onError: (err) => print('Error: $err'),
  onPermissionDenied: () => print('Permission denied'),
  listenFor: Duration(seconds: 30),
  pauseFor: Duration(seconds: 3),
);

SpeechResult (AI Ready) #

• text: The actual recognized string (live or final).
• confidence: Score between 0.0 and 1.0.
• isFinal: false for partial results, true for finalized sentences.
• words: List of SpeechWord objects with per-word metadata.
• speakingDuration: Actual active talking time.
• pauseCount: Number of pauses detected during the segment.

💎 2. Continuous Pro Mode (The Intelligence Engine) #

This is the "Next Level" of speech recognition. It transforms raw voice data into a professional, structured transcript with real-time session analytics.

The onTranscriptUpdate Managed Stream #

Subscribe to this stream to receive a high-level SpeechTranscript object that maintains the state of the entire conversation.

_plugin.onTranscriptUpdate.listen((transcript) {
  // 1. Text Content
  print(transcript.finalizedText); // Formatted historical text
  print(transcript.partialText);   // Real-time "ghost" words
  print(transcript.fullText);      // The unified coherent paragraph

  // 2. Real-time Analytics (Pro Metrics)
  print('Words Per Minute: ${transcript.analytics.wordsPerMinute}');
  print('Total Session Time: ${transcript.analytics.totalDuration}');
  print('Average Confidence: ${transcript.analytics.averageConfidence}');
  print('Total Word Count: ${transcript.analytics.totalWords}');

  // 3. Segment History
  print('Total Segments Processed: ${transcript.segments.length}');
});

// Start the intelligence engine
await _plugin.start(localeId: 'en-US');

Advanced Pro Capabilities #

1. Smart Transcription Sticking: Seamlessly joins segments into a single coherent story. It remembers context across automatic restarts.
2. Advanced Smart Punctuation:
   • Automatically capitalizes the start of sentences.
   • Intelligently adds periods (.) based on natural speech boundaries.
3. Real-time Analytics Engine: Calculates WPM (Words Per Minute) and session-wide confidence on the fly.
4. Segment History Buffer: Keeps a chronological list of every SpeechResult processed in the session for post-processing or audit trails.
5. Infinite Continuity: Bypasses all native system limits. The mic stays active until you explicitly call stop().

🎮 Session Control #

Regardless of which mode you use, you can control the active session using these methods:

Stop (Finish Session) #

Stops the microphone and the recognition engine. In Pro mode, this also finalizes the transcription history and sends the final update to the onTranscriptUpdate stream. Use this when the user is completely done.

await _plugin.stop();

Pause & Resume #

Temporarily "freezes" the auto-restart logic. The microphone is released, and the engine stops processing new speech. Important: The session context (like stitched text in Pro mode) is preserved.

• Pause: Stops active listening but keeps the session "alive" in memory.
• Resume: Instantly restarts the engine and continues appending to the existing transcript.

await _plugin.pause();
// ... later ...
await _plugin.resume();

Cancel (Discard) #

Immediately stops the microphone and discards any partial or unfinalized results from the current segment. Unlike stop(), it does not perform final processing on the last heard words.

await _plugin.cancel();

📦 Installation & Setup #

1. Add Dependency #

Add speech_to_text_pro to your pubspec.yaml file:

dependencies:
  speech_to_text_pro: ^0.0.1

Or run this command in your terminal:

flutter pub add speech_to_text_pro

2. Import the Library #

import 'package:speech_to_text_pro/speech_to_text_pro.dart';

3. Android Setup #

Add the following permission to your android/app/src/main/AndroidManifest.xml inside the <manifest> tag:

<uses-permission android:name="android.permission.RECORD_AUDIO" />

If you targeting Android 11 (API level 30) or higher, you may also need to add the following to your AndroidManifest.xml to allow the app to interact with the speech recognition service:

<queries>
    <intent>
        <action android:name="android.speech.RecognitionService" />
    </intent>
</queries>

Zero-Beep Logic: The plugin automatically mutes system restart sounds.

4. iOS Setup #

Add the following keys to your ios/Runner/Info.plist file:

<key>NSSpeechRecognitionUsageDescription</key>
<string>We use speech recognition to convert your voice to text.</string>
<key>NSMicrophoneUsageDescription</key>
<string>We need access to your microphone for transcription.</string>

5. macOS Setup #

Add the same keys as iOS to your macos/Runner/Info.plist. Also, ensure you have enabled the Microphone and Speech Recognition entitlements in your project's App Sandbox settings in Xcode.

💻 Platform Support #

📜 License #

This project is licensed under the MIT License - see the LICENSE file for details.