Outspoke

A privacy-focused speech-to-text keyboard(IME) for Android. Speech recognition runs entirely on-device - no internet needed after the initial model download, no account, no data leaving your phone.

It uses NVIDIA's Parakeet-TDT v3 automatic speech recognition model, quantized to INT8 and run via ONNX Runtime for efficient on-device inference. Voice activity detection uses Silero VAD v4 (also ONNX, also fully on-device) to suppress silence before it ever reaches the ASR model.

Features

Fully offline after setup - audio is never transmitted anywhere Real-time transcription - progressive partial results while you speak Works in any app - injects text via Android's standard InputConnection API Parakeet-TDT 0.6B v3 - INT8 quantized, ~700 MB, runs on mid-range hardware Voice Activity Detection - Silero VAD v4 neural network (ONNX) filters silence before it reaches the ASR model; falls back to energy-threshold VAD if the model can't load Configurable trigger modes - hold-to-talk or tap-to-toggle No Google Play Services, no telemetry, no analytics

Requirements Requirement Minimum Android version 11 (API 30) RAM 4 GB recommended Free storage ~750 MB (for model files) Permissions RECORD_AUDIO, INTERNET (model download only), POST_NOTIFICATIONS

The INTERNET permission is used once to download the model from Hugging Face. After that, the keyboard works fully offline.