Best 10 Flutter Voice Assistant, TTS, STT, and ASR Packages

1. speech_to_text  

This popular package allows developers to convert spoken words into text in real-time. It is perfect for building interactive voice assistants or note-taking apps.

Features:

• Supports multiple languages.

• Configurable listening duration and real-time transcription.

• Handles speech events like “onError” and “onComplete.”

2. flutter_tts  

A robust package for converting text into speech. It is widely used for building voice-based feedback systems and supports iOS, Android, web, and desktop.

Features:

• Configurable pitch, volume, and speech rate.

• Supports multiple languages and regional accents.

3. Google Speech  

This package integrates Google’s cloud-powered speech-to-text API, offering high accuracy for complex voice commands.

Features:

• High-quality transcription with noise handling.

• Supports a wide range of languages and dialects.

• Ideal for large-scale apps requiring accurate transcription.

4. alan_voice

This package provides an AI-powered voice assistant framework, allowing developers to create custom conversational agents.

Features:

• Pre-built AI models for conversational agents.

• Supports both voice input and output.

• Cloud-based command processing.

5. cloud_text_to_speech

This package taps into Google’s cloud-based TTS engine, producing natural-sounding speech.

Features:

• High-quality voice synthesis.

• Multiple voice types and speaking styles.

6. cheetah_flutter 

Cheetah is an ASR (automatic speech recognition) engine that focuses on fast and lightweight transcription.

Features:

• Provides real-time voice-to-text conversion.

• Operates efficiently even on low-powered devices.

7. picovoice_flutter 

Picovoice offers a combination of voice recognition and NLP features, focusing on offline performance.

Features:

• Recognizes custom wake words and commands.

• Fully offline speech processing.

8. leopard_flutter 

This package provides a powerful voice-to-text engine with a focus on accuracy.

Features:

• Works well in noisy environments.

• Supports offline speech processing.

9. porcupine_flutter 

Porcupine focuses on wake-word detection, making it ideal for always-on voice assistants.

Features:

• Custom wake word support.

• Works offline with minimal latency.

10. rhino_flutter  

Rhino combines command recognition with natural language understanding, enabling developers to build sophisticated voice-enabled systems.

Features:

• Works offline for privacy-focused apps.

• Supports multi-step voice commands.

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