moonshine

Why we included this project

Building a voice agent means juggling speech recognition, understanding, and synthesis, and the delay between them is what usually makes a product feel stiff. Moonshine puts the whole spoken-language stack into one on-device library: streaming speech-to-text, text-to-speech, intent recognition, voice cloning, and speaker diarization, so you can prototype a talking product without wiring together several separate services. Everything runs locally with no account or API keys, which suits privacy-sensitive work and keeps latency low, since the models start processing while the user is still talking. Portability stands out: the same core runs on phones, desktops, Raspberry Pis, and embedded hardware, with models down to about 1MB for constrained devices. Teams weighing it against Whisper for live transcription get concrete accuracy comparisons to test quickly, and developers who want a low-latency voice agent on edge devices get high-level APIs that cover common tasks like voice cloning and command recognition out of the box.