Voice In, Voice Out
Local APIs for automatic speech recognition and text-to-speech.
No cloud dependency, no per-minute costs — runs locally on any hardware.
The listening side of the stack. Real-time transcription, voice activity detection, and echo cancellation working together so your agent hears clearly and responds at exactly the right moment. Runs in push-to-talk or always-on mode.
On-device transcription across 3+ languages. Runs on CPU with streaming partial results — no GPU, no cloud, no batch processing.
Knows when someone starts and stops talking. Precision endpointing so your agent responds at the right moment — not too early, not too late.
Filters out the agent’s own voice from the mic input in real time. Enables full-duplex conversation and natural interruption.
Every voice you hear below was synthesized on a single CPU core. No GPU, no cloud, no API calls — just neural inference running directly on the device. The first word plays in under 100 milliseconds.
“Welcome to Edge AI. I can speak naturally and expressively, all while running entirely on your device. No internet connection needed, no data ever leaves your hardware.”
“The advancement of neural text to speech technology has made it possible to generate remarkably natural sounding voices.”
“Hello there! I’m Hannah. The beauty of natural language lies in its ability to convey emotion and meaning through subtle variations in tone.”
“Good evening, sir. I’ve prepared a summary of today’s events. Shall I begin the briefing? All systems are operating within normal parameters.”
“Our voice technology runs entirely on your device, keeping your conversations private and your latency low.”
“The art of communication lies not just in the words we choose, but in how we bring them to life.”
Download the TTS model (~77 MB) to synthesize speech directly in your browser. No server involved.
Our SDK handles STT, TTS, and VAD so you can focus on the experience. Runs on Linux, macOS, and embedded targets.
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