DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
The free AI already on your Mac. CLI tool, OpenAI-compatible server, and interactive chat — all on-device via Apple Intelligence. No API keys, no cloud, no downloads.
On-device wake word detection powered by deep learning
open-source healthcare ai
Local speech-to-text for macOS on-device AI, fully private, optional cloud
AI speech toolkit for Apple Silicon — ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML
On-device Speech-to-Intent engine powered by deep learning
On-device voice assistant platform powered by deep learning
Real-time voice assistant — WebRTC streaming, faster-whisper ASR, local LLM, Vui Nano (300M) TTS. OpenAI Realtime API compatible. Voice cloning, barge-in, ~9× realtime on a 4090. Apache 2.0.
On-device speech-to-text engine powered by deep learning
AubAI brings you on-device gen-AI capabilities, including offline text generation and more, directly within your app.
电子鹦鹉 / Toy Language Model
On-device voice activity detection (VAD) powered by deep learning
Precision genomics for everyone, everywhere. Powered by private AI.
The baseline project for inferencing various Pose Estimation tflite models with TFLiteSwift on iOS
Convmelspec: Convertible Melspectrograms via 1D Convolutions
On-device property graph database. Schema-as-code. One CLI → One Folder. No Server. Think: DuckDB for graphs.
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