Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
- speech-recognition
- asr
- voice-recognition
- speech-to-text
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Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
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.
Android Input Method Editor (IME) based on Whisper
🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI
🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI
Examples of Tensorflow Lite on Android
Lightweight on-device keyword spotting engine for iOS using CoreML and real-time audio streaming.
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.