

Moonshine AI
Moonshine is a family of speech-to-text models optimized for fast and accurate automatic speech recognition (ASR) on resource-constrained devices. It is well-suited to real-time, on-device applications like live transcription and voice command recognition.
Features
Properties
- Lightweight
Features
- Ad-free
- No registration required
- Python-based
- Speech Recognition
- Speech to text
- AI-Powered
- Voice Commands
Tags
- live-transcription
- ai-transcription
- ai-model
Moonshine AI News & Activities
Recent News
Recent activities
- POX added Moonshine AI as alternative to whis
- zakweb liked Moonshine AI
POX added Moonshine AI as alternative to TranscribeX
POX added Moonshine AI as alternative to Hermes Voice
POX added Moonshine AI as alternative to Dictly
justarandom added Moonshine AI as alternative to Murmure
POX added Moonshine AI as alternative to Katari
POX added Moonshine AI as alternative to Scriber Pro
POX added Moonshine AI as alternative to Transcriboar
kalmuraee added Moonshine AI as alternative to Notah AI
Moonshine AI information
What is Moonshine AI?
Moonshine is a family of speech-to-text models optimized for fast and accurate automatic speech recognition (ASR) on resource-constrained devices. It is well-suited to real-time, on-device applications like live transcription and voice command recognition. Moonshine obtains word-error rates (WER) better than similarly-sized Whisper models from OpenAI on the datasets used in the OpenASR leaderboard maintained by HuggingFace.
Moonshine's compute requirements scale with the length of input audio. This means that shorter input audio is processed faster, unlike existing Whisper models that process everything as 30-second chunks. To give you an idea of the benefits: Moonshine processes 10-second audio segments 5x faster than Whisper while maintaining the same (or better!) WER.


