README.md

---

tags:

- speech-to-text
- automatic-speech-recognition
- voice-input
- asr
- gguf
- whisper
- sensevoice
- parakeet
- qwen-asr

language:
- en
- zh

---

# Voconly 

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

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

---

## 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

---

## 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](https://huggingface.co/voconly/whisper-large-v3-turbo-gguf) — Fast local speech-to-text
* [SenseVoice Small](https://huggingface.co/voconly/sensevoice-small) — Multilingual speech recognition
* [Qwen3-ASR 1.7B — GGUF](https://huggingface.co/voconly/Qwen3-ASR-1.7B-gguf) — Lightweight multilingual ASR
* [Parakeet TDT 0.6B — GGUF](https://huggingface.co/voconly/parakeet-tdt-0.6b-v3-gguf) — Efficient streaming speech recognition
* [Parakeet Unified EN 0.6B — GGUF](https://huggingface.co/voconly/parakeet-unified-en-0.6b-gguf) — English speech recognition
* [Nemotron 3.5 ASR 0.6B — GGUF](https://huggingface.co/voconly/nemotron-3.5-asr-streaming-0.6b-gguf) — Streaming ASR
* [Cohere Transcribe 2B — GGUF](https://huggingface.co/voconly/cohere-transcribe-03-2026-gguf) — Speech transcription

### Local LLMs

* [Qwen3.5-9B Q4_K_M — GGUF](https://huggingface.co/voconly/Qwen3.5-9B-Q4_K_M-GGUF) — Efficient local LLM inference
* [Qwen3-4B-Instruct Q4_K_M — GGUF](https://huggingface.co/voconly/Qwen3-4B-Instruct-2507-Q4_K_M-GGUF) — Lightweight instruction model

**[Browse all Voconly models and resources](https://huggingface.co/voconly/models)**

---

## 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

---

## 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.

---

## 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

---

## 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.

---

## 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**.

---

## 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.**