Voice Control for Smart Home
Fully On-Device. Stays Home.

From wake word to action: custom wake word detection, speech-to-text, a local LLM that operates your devices, and text-to-speech responses — all running on-device, with no cloud and no per-token costs.

Why a Fully On-Device Pipeline Matters for Smart Home Products

  • Privacy & security — wake word, STT, LLM, and TTS all run locally, so nothing leaves the house
  • Speaker verification & voice separation — isolates the owner's voice and rejects commands from other speakers, guests, or a TV/speaker in the background
  • Works during internet outages, since the entire pipeline runs without connectivity
  • No token dependency — the local LLM means no per-query API costs or cloud inference fees
  • No recurring cloud costs per device at scale
  • Brand differentiation instead of a generic "Alexa" or "Hey Google" experience

A Complete On-Device Voice Pipeline

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Wake Word

Custom branded trigger phrase, always listening on-device with minimal power draw.

📝

Speech-to-Text

Converts the voice command that follows the wake word into text for the LLM to act on.

🧠

Local LLM

Understands the command and operates your smart home devices directly — no cloud round-trip.

🔊

Text-to-Speech

The LLM talks back, confirming what it understood and what it did.

Built for Teams Building Smart Home Products

📱

App Developers

Building a companion app for lighting, climate, security, or any connected device? Add a full voice pipeline without sending audio to the cloud.

🔌

Hardware & IoT Makers

Building a voice-enabled speaker, hub, or appliance? Run wake word, STT, LLM, and TTS directly on embedded hardware.

🏷️

Platform Builders

Want your own branded "Hey [Product]" instead of relying on Alexa or Google Assistant? Ship a voice experience that's entirely yours.

What You Can Build With DaVoice

Custom Branded Wake Word

Train a wake word unique to your product name or brand, instead of a generic assistant trigger.

Voice Commands via STT

On-device speech-to-text turns spoken commands into text the LLM can use to operate any connected device.

Local LLM for Device Control

A local LLM interprets commands and operates lighting, climate, security, and other devices — no cloud inference, no token fees.

Spoken Responses via TTS

On-device text-to-speech lets the LLM talk back — confirming what it understood and what action it took.

Fully On-Device

Wake word, STT, LLM, and TTS all run locally — works offline and keeps audio and data on the device.

Owner-Only Voice Recognition

Speaker verification and voice separation create a voiceprint for the owner, so only their voice can issue commands — other speakers, guests, or background audio are ignored.

SDKs for Mobile & Embedded

Drop the DaVoice pipeline into your existing iOS, Android, or embedded codebase rather than building voice AI from scratch.

How Integration Works

1

Add the SDK

Integrate the DaVoice SDK into your mobile app or embedded firmware.

2

Configure the Pipeline

Set your custom wake word and connect the LLM to the devices it should operate.

3

Ship It

Deploy to your app or device — wake word, STT, LLM, and TTS all run on-device from day one.

See the documentation or integration guides for implementation details.

Bring a Complete Voice Pipeline Into Your Smart Home Product

Talk to us about integrating wake word, speech-to-text, a local LLM, and text-to-speech into your app or hardware.

100% On-Device • Wake Word + STT + Local LLM + TTS • No Cloud • No Token Costs • Works Offline • 40+ Languages