Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
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Local speech-to-text for macOS on-device AI, fully private, optional cloud
- apple-silicon
- dictation
- macos
- on-device
🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI
- voice
- voice-recognition
- voice-assistant
- voicetext
OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.
- asr
- conformer
- coreml
- ios