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Voconly:本地语音输入与AI润色
发布时间未知 · 北京时间
原文与观测指标
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查看原文 Voconly:本地语音输入与AI润色
xinkyle星标149采集时的累计值
每小时增长待观察星标 / 小时 · 观测区间平均值
最近提交10-28 14:22提交时间不是项目发布时间
发布时间:未知 · 首次发现 10-28 14:32 · 北京时间
指标采集:10-28 14:32 · 指标已取得
项目文档有线索安装说明有线索使用说明未发现示例未发现
仅反映文档与示例线索,未实际运行项目。
摘要
Voconly用本地语音识别将口述转成文字,再按模式进行轻度或专业润色、翻译、会议摘要或自定义处理,并把结果直接输入当前应用。可用快捷键选择润色输出或原始转写。
摘要由 AI 生成,请以原文为准。观测历史 · 最近 1 条 展开 / 收起
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| 采集时间 · 北京时间 | 指标 | 数值 | 来源 | 状态 |
|---|---|---|---|---|
| 10-28 14:32:15 | Star | 149 | GitHub 公开页面 | 已取得 |
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Voconly
本地优先 AI 语音输入工具 | Local-first AI voice typing tool. 支持 Whisper/SenseVoice/Parakeet/Qwen asr,离线可用,LLM 智能润色. Open-source speech-to-text with…
项目说明 展开 / 收起
Voconly — Voice in. Text out. Done. Speak naturally. Voconly transcribes locally, refines with AI, and puts finished text right at your cursor — in any app. No cloud. No quota. No copy-paste. Download · Website · 中文文档 Your Thoughts Move Faster Than Your Fingers Speaking is natural. Typing is slow. Most ideas die in the gap between them. Voconly closes that gap — speak freely, and let AI handle the cleanup. Most Voice Tools Stop at Transcription. Voconly Doesn't. Traditional voice tools turn speech into a transcript — then you copy, paste, and edit. Voconly turns speech into finished writing. Speak naturally ↓ Local transcription ↓ AI understands and refines ↓ Finished text appears at your cursor No switching windows. No copy-paste. It lands exactly where you're typing. Two ways to finish, one key: Press to start → press again to stop: full pipeline, AI-polished output Press to start → double-press to stop: raw transcript, straight out — skip AI entirely One Voice. Different Intentions. The same voice can mean different things — a quick thought, a professional email, a translation, a meeting summary. Assign each workflow its own hotkey and switch modes with a single keystroke. Mode You say... You get... 📝 Light Polish "I mean, I think this plan is actually pretty good, you know, it's just that the timeline is kind of a little too long, and maybe we could, like, make some adjustments and try to shorten it a bit." "I think this plan is actually pretty good, it's just that the timeline is a little too long, and maybe we could make some adjustments and try to shorten it a bit." 💼 Professional Polish "I mean, I think this plan is actually pretty good, you know, it's just that the timeline is kind of a little too long, and maybe we could, like, make some adjustments and try to shorten it a bit." "I think this plan is solid overall, but the current timeline is a bit too long. We could make some adjustments to shorten it. " 🌐 Translate "I think the plan is pretty good overall, but the timeline is a bit too long. Maybe we could optimize it a little further." "嗯,我觉得这个方案整体其实还不错,就是这个时间周期吧,感觉还是有点长,我们是不是可以再优化一下?" 🗂️ Meeting Secretary Meeting discussion Structured summary with key points 🛠️ Custom Anything Your own prompt, your own logic Each mode has its own hotkey and processing prompt, while your ASR model and LLM provider work across all modes. Press the assigned key to start speaking, then press it again to finish. Built for Everyday Use ⚡ See your words as you speak No matter which ASR model you use, Voconly gives you a live transcription experience. Text appears while you speak — and it's ready the moment you stop. No spinner. No waiting. ♾️ Dictate for hours, stay in the flow Speak for minutes or hours with a transcription experience built for long sessions. 📍 Works everywhere you can type Browsers, Word, Notion, VS Code, WeChat, your email client — if you can type there, Voconly works there. Why Voconly? Voconly Traditional dictation workflow Privacy Audio never leaves your device Often uploaded to the cloud Limits Unlimited. No quotas. Free quotas or subscriptions Output Finished, polished text Raw transcript Workflow Appears at your cursor Copy → paste → edit Long sessions Stable for hours Accuracy may degrade over time Models Choose the ones you prefer Locked into one provider Use the Models You Prefer You're not locked into a single AI stack. Choose between fully local workflows or connect your preferred cloud models. ASR: Whisper · SenseVoice · Parakeet · Qwen-ASR LLM: Ollama (local) + major cloud API providers Audio formats: WAV · MP3 · M4A · OGG · FLAC (pure Rust processing, no ffmpeg required) Get Started in 60 Seconds Download Voconly → Releases ⚠️ Installation notes: Windows: If you see "Windows protected your PC", click "More info" → "Run anyway". Learn more macOS: If you see "app is damaged", run xattr -cr /Applications/voconly.app in Terminal. Learn more Launch it — pick a recommended model Press hotkey and start talking — press again for polished text, double-press for raw transcript That's it. Build from source (Windows): .\setup.ps1 # check & install dependencies .\start-dev.ps1 # start dev server No GPU / no Vulkan SDK? Use .\setup.ps1 -SkipVulkan (CPU mode). GPU recommended for best speed. Platforms Platform Status Windows 10 / 11 ✅ Available macOS (Apple Silicon) ✅ Available Linux — Not planned Roadmap Done Local ASR: Whisper / SenseVoice / Parakeet / Qwen-ASR Real-time transcription for every model Long-session transcription without drift LLM post-processing: quick note / professional / translation / meeting / custom Single-key hotkey modes with optional AI pass Windows app macOS app (Apple Silicon) Coming soon More ASR models and LLM providers Why Open Source? I built Voconly because I wanted a voice tool that felt truly mine: No subscription quotas No audio uploaded by default No dependency on a single company No black box I couldn't control So I open-sourced it. Voconly is also my experiment in what one person + AI can build today. If it helps you, a ⭐ means a lot. Contributing Issues, ideas, and PRs welcome — let's explore productivity in the AI era, together. License MIT License — Copyright (c) 2026 Xing Yong About Built by Xing Yong (老幸.AI - 公众号同名) — exploring a simple question: What can one person build with AI today? Voconly is one of those experiments. 📧 [email protected] Tech Stack Tauri 2.0 · React + TypeScript · Rust · Whisper.cpp · Symphonia