whisper_android and MisterWhisper
These are ecosystem siblings—one provides a mobile inference implementation (TensorFlow Lite on Android) while the other provides a push-to-talk interface pattern, both consuming the same Whisper model but targeting different deployment contexts and interaction models.
About whisper_android
vilassn/whisper_android
Offline Speech Recognition with OpenAI Whisper and TensorFlow Lite for Android
This project offers pre-built Android apps and code examples to add offline speech recognition capabilities to Android devices. It takes spoken audio (like a voice recording) and converts it into text, all without needing an internet connection. This is for Android developers who want to integrate powerful speech-to-text features into their mobile applications.
About MisterWhisper
openconcerto/MisterWhisper
Push to talk voice recognition using Whisper
This application helps you convert your spoken words into written text in real-time. You speak into your microphone, and the transcribed text instantly appears wherever your cursor is, like typing it directly. This is ideal for anyone who regularly types notes, emails, or documents and wants to use their voice for faster input across various applications.
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