Voicebox

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.

Moonshine Voice is an open-source AI toolkit for developers building real-time voice agents and applications. It provides on-device speech-to-text, intent recognition, and text-to-speech, including streaming transcription that processes audio while the user is still speaking. The project offers speech-to-text models ranging from higher-accuracy models to approximately 1 MB models and provides one library for Python, JavaScript/WASM, iOS, Android, macOS, Linux, Windows, and Raspberry Pi. It is used by Gemma Translator for speech recognition and speech output, and can run without an account or API keys. The project is distributed under the MIT License, including its models by default, with legacy non-streaming models for non-English languages covered by a non-commercial Moonshine Community License.

Speech To Speech is an open-source, modular voice-agent pipeline from Hugging Face. It chains voice activity detection, speech-to-text, a language model, and text-to-speech as separate stages connected by queues; each stage has interchangeable backends. The language-model stage supports OpenAI-compatible protocols and can use hosted providers, Hugging Face Inference Providers, vLLM, or llama.cpp, while the system streams transcripts, generated text, tool calls, and synthesized audio. The project exposes the core OpenAI Realtime event set through WebSocket and WebRTC and includes commands for running a realtime server, a microphone-and-speaker client, or a local setup. It is distributed as a Python package and requires Python 3.10 or newer. The repository says the pipeline is used as the conversation backend for Reachy Mini robots.

VoxCPM is an open-source tokenizer-free text-to-speech system from OpenBMB for multilingual speech generation, voice design, and voice cloning. Its latest major release, VoxCPM2, directly generates continuous speech representations in the latent space of AudioVAE V2 through a four-stage diffusion-autoregressive pipeline: LocEnc, TSLM, RALM, and LocDiT. It accepts text, optional natural-language voice descriptions, or reference audio with transcripts, and produces streaming or batch speech audio; VoxCPM2 supports 30 languages, voice-style controls, controllable and continuation-based cloning, and native 48 kHz output. The project provides a Python package and command-line interface, a local web demo, fine-tuning through full supervised training or LoRA, and serving options including an OpenAI-compatible vLLM-Omni endpoint. Its code and model weights are released under the Apache-2.0 license. The project warns that generated voices can be misused for impersonation, fraud, or disinformation, and notes that voice-design and controllable-cloning results can vary between runs.

OpenWhispr is an open-source, cross-platform desktop voice-to-text application for macOS, Windows, and Linux. A global hotkey captures speech and inserts the resulting text at the cursor in another application; dictation can use local Whisper or NVIDIA Parakeet speech-to-text engines, where audio remains on the device, or cloud providers through user-supplied keys. It also supports dictation translation, AI-agent commands, meeting transcription with speaker diarization and voice fingerprinting, audio and video transcription, and searchable notes with semantic search and optional cloud sync. The application is built with Electron, React, TypeScript, SQLite, whisper.cpp, and sherpa-onnx, and provides an API and MCP server for programmatic access to notes and transcriptions. The repository describes it as having no data collection or telemetry and distributes installers for the three supported desktop platforms. It is licensed under the MIT license.