How to build your own voice recognition service instead of PLAUD and closed AI voice recorders
Summary
This article explains how to build a self-hosted voice recognition workflow instead of using closed AI диктофоны like PLAUD. It outlines the hardware and software stack, including a VDS server, open-source STT tools such as Whisper, Vosk, and GigaSTT, and Markdown-based note handling in Obsidian. It also describes an automation flow that captures audio, transcribes it, creates summaries, and syncs content through tools like Syncthing. The piece is essentially a technical guide for assembling a personal or team voice-to-text system with open components.
Classifications
industries
Fintech & Banking
applications
Calendar, Scheduling
AskAI Classifications
Labels
Developer Tools
AI Coding Assistants
DevOps Software
Linked Companies
Cursor
up to $1M
Syncthing
up to $1M
Telegram Messenger
$1M to $5M
Obsidian
$1M to $5M
Ollama
$1M to $5M