On-device wake-phrase detection for Linux aarch64 — one glibc-2.17 .so behind Python (PyPI wheel), Node.js (npm), Go (go get), C/C++ (tarball + CMake), Rust. RTF 0.053 on Raspberry Pi Zero 2 W. Same runtime as voxrt-wake-word-{android,ios}.

Always-on wake-phrase detection for iOS on the VoxRT custom on-device inference runtime — Swift Package, 16 kHz mono PCM in, threshold-crossing events out. Custom phrases at voxrt.com.

Always-on wake-phrase detection for Android on the VoxRT custom on-device inference runtime — Kotlin library, 16 kHz mono PCM in, threshold-crossing events out. Custom phrases at voxrt.com.

On-device wake-phrase detection in the browser — WebAssembly + SIMD128, ~275 KB total (runtime + model), no server. Same runtime as voxrt-wake-word-{android,ios,linux}. Free demo tier of the VoxRT wake-word family.

Wake-phrase model weights (.vxrt, ~100 KB, AES-GCM encrypted) for the VoxRT custom on-device inference runtime. Paired with voxrt-wake-word-{android,ios,linux}. Custom phrases at voxrt.com.

Detect wake phrases directly in the browser using WebAssembly. Runs locally without servers or plugins to ensure privacy and speed.

Distribute pre-compiled VoxRT wake-word model weights for on-device inference using the compact .vxrt format.