WhisperDesk

<p align="center"> <img src="src-tauri/icons/128x128@2x.png" width="128" height="128" alt="WhisperDesk Logo" /> </p> <h1 align="center">WhisperDesk</h1> <p align="center"> <strong>Free, open-source audio & video transcription. Local. Private. Beautiful.</strong> </p> <p align="center"> <a href="https://github.com/liaqateagle/whisperdesk/releases">Download</a> · <a href="#features">Features</a> · <a href="https://speakdock.com">SpeakDock (Pro Tool)</a> · <a href="https://www.youtube.com/@learnwithliaqat/">YouTube</a> </p> <p align="center"> <img src="https://img.shields.io/badge/license-MIT-green" alt="License" /> <img src="https://img.shields.io/badge/platform-Windows%20%7C%20macOS%20%7C%20Linux-lightgrey" alt="Platform" /> <img src="https://img.shields.io/badge/tauri-v2-orange" alt="Tauri v2" /> <img src="https://img.shields.io/github/stars/liaqateagle/whisperdesk?style=social" alt="Stars" /> </p>

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<p align="center"> <img src="image.png" alt="WhisperDesk Screenshot" width="800" /> </p>

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Features

• Local & Private — 100% offline transcription, no cloud, no API keys, no telemetry
• Word-Level Timestamps — Click any word to jump to that point in the audio
• Interactive Transcript — Real-time word highlighting during playback
• Multiple Export Formats — SRT, VTT, TXT, JSON, Markdown
• Model Manager — Download Whisper models (tiny → large-v3) with progress bars
• Transcription History — SQLite-backed history with search and stats
• Beautiful UI — Dark/light mode, glassmorphism, smooth animations
• 99 Languages — Full Whisper language support
• Built-in Audio Player — Play, pause, seek, speed control (0.5x–2x)

Supported Formats

Audio: MP3, WAV, M4A, OGG, FLAC, WMA, AAC

Tech Stack

• Tauri v2 — Lightweight desktop framework (Rust + Web)
• React 19 + TypeScript — Frontend
• Tailwind CSS v4 — Styling
• whisper-rs — OpenAI Whisper.cpp speech recognition
• Symphonia — Pure Rust audio decoding
• SQLite — Transcription history
• Framer Motion — Animations
• Lucide React — Icons

Getting Started

Prerequisites

• Node.js 18+
• Rust 1.70+
• Tauri v2 prerequisites

Development

# Install dependencies
npm install

# Run in development mode
npm run tauri dev

# Build for production
npm run tauri build

First Use

1. Go to Settings → Models and download a Whisper model (start with "base" for good quality/speed balance)
2. Go to Transcribe and drop an audio file
3. Click Start Transcription
4. View, edit, search, and export your transcript

Whisper Models

| Model | Size | Speed | Quality | |-------|------|-------|---------| | tiny | 75 MB | Fastest | Basic | | base | 142 MB | Fast | Good | | small | 466 MB | Medium | Better | | medium | 1.5 GB | Slow | Great | | large-v3 | 3.1 GB | Slowest | Best | | large-v3-turbo | 1.6 GB | Fast | Great |

Part of the SpeakDock Ecosystem

WhisperDesk is the free, open-source companion to SpeakDock — our commercial real-time dictation and voice command tool.

WhisperDesk = File transcription (open source, free) SpeakDock = Real-time dictation, AI polish, meeting recording, voice commands (commercial)

Author

Liaqat Eagle

• 🌐 GitHub
• 📺 YouTube
• 📘 Facebook

License

MIT — free for personal and commercial use. See LICENSE.

Contributing

Contributions welcome! See CONTRIBUTING.md for details.