voconly

Voconly

Voconly is a local-first AI voice input assistant for Windows and Mac.

Speak naturally and let AI turn your voice into text, then polish, translate, summarize, or structure it.

Voconly combines local speech recognition (ASR) with optional LLM processing, making voice a more natural way to write, communicate, capture ideas, and interact with your computer.

Website: https://www.voconly.com GitHub: https://github.com/xinkyle/Voconly

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What is Voconly?

Voconly is an open-source AI voice input and speech-to-text tool designed for local, private, and flexible use.

Instead of typing everything with a keyboard:

Press a hotkey → Speak → Transcribe → AI Process → Output

You can use Voconly anywhere you normally type — editors, browsers, email clients, chat applications, terminals, IDEs, and more.

Key Features

• Local Speech-to-Text — Run ASR models locally on your computer
• Real-time Transcription — See your words as you speak
• AI Text Processing — Polish, translate, rewrite, summarize, and structure
• Privacy First — Process voice data locally without uploading recordings
• Offline Support — Local ASR can work without an internet connection
• Global Hotkeys — Trigger voice input from any application
• Flexible Models — Choose different speech recognition and LLM models for different scenarios

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Open-Source Models

This Hugging Face organization hosts open-source models and resources used by Voconly, with a focus on local speech recognition, voice AI, and efficient local inference.

Speech Recognition / ASR

• Whisper Large V3 Turbo — GGUF — Fast local speech-to-text
• SenseVoice Small — Multilingual speech recognition
• Qwen3-ASR 1.7B — GGUF — Lightweight multilingual ASR
• Parakeet TDT 0.6B — GGUF — Efficient streaming speech recognition
• Parakeet Unified EN 0.6B — GGUF — English speech recognition
• Nemotron 3.5 ASR 0.6B — GGUF — Streaming ASR
• Cohere Transcribe 2B — GGUF — Speech transcription

Local LLMs

• Qwen3.5-9B Q4_K_M — GGUF — Efficient local LLM inference
• Qwen3-4B-Instruct Q4_K_M — GGUF — Lightweight instruction model

Browse all Voconly models and resources

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Why Local AI?

Voconly is built around a simple idea:

Your voice should belong to you.

Voice input can contain private conversations, work information, ideas, and personal thoughts.

That's why Voconly supports running speech recognition locally:

• Your audio can stay on your computer
• No cloud upload is required for local ASR
• No dependency on online transcription quotas
• Works offline when using local models
• You choose which models and AI services to use

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How Voconly Uses These Models

Voconly separates the voice input process into two stages:

Speech → ASR → Text → LLM → Final Output

ASR models handle speech recognition, while optional LLMs can transform the raw transcript into useful content.

For example:

Speak: “Help me organize this idea from earlier and get it ready to send to the client.“

ASR: Converts speech into text.

↓

LLM: Rewrites and structures the content.

↓

Output: A polished message ready to send.

This architecture allows users to choose different models depending on their hardware, language, accuracy, speed, and privacy requirements.

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Use Cases

Voconly can be used for:

• Content Creation — Capture ideas, write articles, create scripts
• Work & Communication — Emails, messages, reports, summaries
• Meetings — Transcription and structured meeting notes
• Development — Describe requirements, write Issues, explain technical ideas
• Learning — Capture notes and learning insights
• Daily Journaling — Record thoughts and ideas naturally

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Why Open Source?

AI is changing who can create software.

In the past, turning an idea into a product often required a team of designers, developers, and engineers.

Today, one person can use AI to build things that previously required an entire team.

Voconly is part of my exploration of this idea:

What can one person + AI create?

I believe AI should not only make existing work faster.

It should give more people the ability to turn their ideas into real products.

Voconly is one small experiment in that direction.

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Learn More

Voconly Website: https://www.voconly.com

GitHub Repository: https://github.com/xinkyle/Voconly

Hugging Face Organization: https://huggingface.co/voconly

If Voconly is useful to you, consider giving the project a ⭐ Star on GitHub.

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About

幸勇（老幸.AI）

15 years of entrepreneurship and long-term experience in AI, big data, and software products.

Since 2024, I have been exploring AI coding and building software products with AI.

Voconly is part of my ongoing exploration of local AI, personal AI, and individual creativity in the AI era.

One person. One idea. AI.