Verified project record
moonshine-ai/moonshine
A single open source library for on-device, low-latency voice processing that handles real-time speech-to-text, text-to-speech, intent recognition, and conversational agents without external API keys. Developers can build cross-platform, privacy-preserving voice interfaces locally on devices ranging from desktops to microcontrollers.
Project overview
A single open source library for on-device, low-latency voice processing that handles real-time speech-to-text, text-to-speech, intent recognition, and conversational agents without external API keys. Developers can build cross-platform, privacy-preserving voice interfaces locally on devices ranging from desktops to microcontrollers.
- Project type
- AI Agent · Model Runtime · Audio & Speech
- Use cases
- Meeting Notes · Audio & Speech · Automation
- Deployment
- Refer to project documentation
- License
- License pending
Best for
- Developers who need to integrate real-time speech-to-text, text-to-speech, and intent recognition into cross-platform applications locally without external API keys.
- Projects targeting edge hardware like Raspberry Pi, IoT devices, and microcontrollers that require on-device voice processing without a GPU.
Key capabilities
- Captures live speech from a microphone or streams and transcribes it into text with low latency.
- Recognizes user-defined action phrases using semantic matching so natural language variations trigger callbacks.
- Synthesizes speech from text in multiple languages and voices for playback or audio data retrieval.
- Provides voice cloning capabilities for text to speech generation.
- Identifies different speakers in an audio stream.
- Provides DialogFlow and Dialog objects to build multi-step, branching conversational voice agents that can understand queries and respond appropriately.
- Supports multiple languages for both speech to text and text to speech.
- Provides a single consistent API running on Python, iOS, Android, MacOS, Linux, Windows, Raspberry Pis, IoT devices, and microcontrollers.
Limitations and risks
- Models for non-English languages are released under a non-commercial Moonshine Community License, which may restrict commercial use.
- The library is in active development with supporting features like binary size reduction and domain customization still planned.
Getting started
- Setup is rated easy, allowing immediate testing on a local machine via pip install followed by running a single command to capture and process microphone audio.
Evidence and sources
- GitHub project description: Very low latency speech to text, intent recognition, and text to speech, for building voice agents and interfaces
- README: We distribute the library through the most widely-used package managers for each platform.
- README: Our goal is to build a framework that any developer can pick up and use, even with no previous experience of speech technologies.
- README: Traditionally, adding a voice interface to an application or product required integrating a lot of different libraries to handle all the processing that's needed to capture audio…
- README: Moonshine Voice is an open source AI toolkit for developers building real-time voice agents and applications. - Everything runs on-device, so it's fast, private, and you don't nee…
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