Vorssaint

VoiceStudio is an open-source, fully local desktop application for voice cloning and design, text-to-speech, transcription, dictation, video dubbing, and long-form audio production. It runs on macOS Apple Silicon, Windows, Linux, or Docker and keeps voices, projects, settings, and generated files on the machine by default. The application combines a Tauri desktop shell, a React and Vite interface, and a local FastAPI backend with registries for multiple TTS and ASR engines. Its workflows can transcribe and translate video, preserve speaker assignments, synthesize replacement speech, render audiobook chapters, separate vocals, diarize speakers, process batch jobs, and route work to CPU, CUDA, Apple Silicon MPS/MLX, ROCm, or optional remote workers. It also exposes local REST, SSE, WebSocket, OpenAI-compatible audio, and MCP interfaces, including speech synthesis and transcription endpoints. VoiceStudio is licensed under AGPL-3.0; downloaded models and tokenizers retain their own licenses. The local workflow requires no account, API key, subscription, or usage meter, although remote workers, configured external ASR endpoints, analytics, and other network-backed functions are opt-in. The repository describes the software as an active beta and distributes packaged desktop releases as well as source code.

Notchware is a native macOS app that turns the MacBook notch into a live island for Now Playing controls, battery, volume, brightness, Focus, Wi-Fi, and internet-status indicators. Its Pro edition adds local alerts for Codex, Claude Code, and Cursor when an agent needs approval or finishes a task, with optional sounds, plus Lock Screen music controls and profile hiding. It runs locally without an account, analytics service, or cloud backend; its agent integrations use inspectable local hook commands that write status events without reading prompts or responses. Notchware supports macOS 14.6 and later on Apple silicon and Intel, with a free edition and a one-time $3.99 Pro purchase.

Scrawl is a Rust screen-recording and annotation tool for macOS that lets users capture a screen or iPhone, narration, clicks, and red ink from a shortcut. Each capture is packaged as a bundle containing annotated keyframes, a contact sheet, full-resolution frames, a time-aligned transcript and interaction timeline, and a structured manifest; captures can be pasted into an active application or sent to coding-agent sessions such as Claude Code, OpenCode, and Codex. Its command-line tool can inspect bundles, extract frames around a timestamp or marked event, route and send captures, import or reprocess recordings, and export annotated MP4 video. Screen captures use logged window, cursor, click, scroll, and drawing activity to auto-crop keyframes around the demonstrated activity, while on-device transcription uses Apple Speech or optional local engines and uses word timings to divide narration and select keyframes. The repository also includes ScrawlKit, a Swift package for recording an iOS app's video, narration, touches, strokes, and application events for delivery to Scrawl. The project is distributed under the MIT license. The macOS app supports Apple silicon Macs running macOS 15 or later; the repository also provides a Windows preview build. Downloads are available from the project's website, through a Homebrew cask, or from GitHub releases.

BetterVoice is an experimental, open-source macOS menu-bar app for local voice dictation with screen context. It transcribes speech locally and captures the full display whenever the user circles an area with the pointer, marking each capture with a blue pointer trail and pulse while preserving multiple references in order. The app inserts the transcript into the selected text field when macOS permits it and pastes captured images when both speech and screen context are available. It supports quick notes and long explanations, configurable microphones, dictation languages, circle-detection thresholds, and keyboard shortcuts. English uses a local Parakeet model by default, while other languages use a separately downloaded multilingual model; an optional English-only grammar-cleanup feature runs locally through quantized ONNX weights.