AUTOMATION

Build a privacy-first offline voice transcription app with agent support

Cross-platform voice-to-text with local ONNX models and AI agent integration

Updated: 5/22/2026
Difficulty
hard
Time
weeks
Use Case
Build a desktop application that transcribes voice locally without sending audio to cloud services, with built-in voice command and AI agent capabilities
Popularity
0 views

About this automation

Vyvoice demonstrates a complete workflow for creating a privacy-first voice transcription app using local ONNX models (Parakeet/Whisper), efficient VAD loops for real-time processing, and planned agent/MCP support. The app runs on Windows, Linux, and macOS with zero data leaving the device.

How to implement

1

Implement efficient VAD loop to detect speech segments in audio stream

2

Integrate ONNX runtime with Parakeet or Whisper models for local transcription

3

Decode valid audio segments in real-time with end-of-utterance detection

4

Build cross-platform UI (Windows, Linux, macOS support)

5

Add voice command parsing layer

6

Integrate agent framework (MCP support planned)

7

Implement subscription tier for premium agent features