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README.md

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 ---
-license: apache-2.0
+
+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.**