Flutter WhisperKit

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A monorepo for Flutter WhisperKit packages that enable on-device speech recognition in Flutter applications using WhisperKit.

Overview

Flutter WhisperKit is a wrapper package that enables the use of WhisperKit within Flutter applications. WhisperKit is an on-device speech recognition framework developed by Argmax that provides high-quality transcription capabilities.

Repository Structure

This repository is organized as a monorepo containing the following packages:

• flutter_whisper_kit: The main package that provides a platform-agnostic API for using WhisperKit in Flutter applications.
• flutter_whisper_kit_apple: The platform implementation for Apple devices (iOS and macOS).

Features

• On-device speech recognition with no data sent to external servers
• Support for multiple model sizes (tiny to large)
• File-based audio transcription
• Real-time microphone transcription
• Configurable model storage options
• Progress tracking for model downloads

Demo

streaming_transcription.mov

Getting Started

To use Flutter WhisperKit in your Flutter application, add the following dependency to your pubspec.yaml:

dependencies:
  flutter_whisper_kit: latest

For detailed usage instructions, refer to the documentation in the individual package directories:

• flutter_whisper_kit
• flutter_whisper_kit_apple

License

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

Acknowledgments

• WhisperKit - The underlying speech recognition framework
• Flutter - The UI toolkit for building natively compiled applications