Voicebox is a local-first, open-source desktop application for AI voice cloning, text-to-speech (TTS), speech-to-text (STT), and dictation. It provides a full voice I/O stack that runs entirely on the user's machine, supporting multiple TTS engines (Qwen3-TTS, Chatterbox, Kokoro, TADA, LuxTTS, etc.) with zero-shot voice cloning from short audio samples. The application is built as a Tauri v2 desktop shell (Rust) wrapping a React/TypeScript frontend and a Python FastAPI backend with SQLite storage. Key features include global dictation with auto-paste, voice profile management with effects chains, a multi-track story editor, MCP server integration for AI agents, and GPU acceleration (CUDA, ROCm, MLX, DirectML). The architecture follows a service-oriented pattern with a backend factory for pluggable TTS/STT engines, SSE-based progress streaming, and a platform abstraction layer for cross-platform compatibility. The codebase is well-structured with extensive documentation, CI/CD pipelines, and a large community.
FluidVoice is a macOS desktop application for real-time voice dictation, meeting transcription, and AI-powered text enhancement. It provides a local-first dictation experience with on-device speech recognition (Parakeet, Nemotron, Whisper, Apple Speech) and optional cloud AI post-processing. The application features a command mode for AI chat, meeting recording with speaker diarization and acoustic echo cancellation, and a local HTTP API for external integrations. The architecture is a native SwiftUI/AppKit application with a service-oriented design. Audio capture uses CoreAudio and ScreenCaptureKit, with a vendored WebRTC audio processing stack for echo cancellation (AEC3), noise suppression, and voice activity detection. Speech recognition is handled by multiple providers, with model downloads from Hugging Face. The application includes a durable PCM storage system with chunk ledger for meeting audio, a signed model release feed for secure updates, and a comprehensive settings/persistence layer using SQLite and UserDefaults. Key entry points include FluidApp.swift (main application), LocalAPIRouter.swift (HTTP API server), MeetingSummaryProvider.swift (AI meeting summaries), ASRService.swift (speech recognition orchestration), and DictationAppSession.swift (dictation workflow). External dependencies include macOS system APIs, SQLite, vendored WebRTC audio processing, and various AI provider APIs (OpenAI, Anthropic, etc.). The repository also contains research-grade audio processing code (WebRTC AEC3, AGC2, RNN VAD) and pronunciation learning evaluation tools, but the dominant character is a production macOS application with extensive testing and CI/CD.
Voquill is a cross-platform voice dictation and AI transcription application that allows users to dictate into any application with real-time speech recognition, AI post-processing, and an agent mode for automated tasks. The desktop app (Tauri + Rust + React) provides a native overlay, global hotkeys, and multiple transcription backends (local Whisper, cloud providers, enterprise). The enterprise edition includes a gateway service with PostgreSQL, admin panel, OIDC SSO, and custom STT/LLM providers. Mobile apps (Flutter) with keyboard extensions provide dictation on iOS and Android. The CLI tool offers headless dictation and agent functionality. The architecture is a monorepo with shared packages for types, utilities, voice AI integrations, and agent loop, demonstrating a well-structured, multi-platform application with significant hybrid characteristics due to extensive data pipelines for transcription and model management.