{"repo":"gustavostz/whisper-clip","free":true,"listed":false,"github":"https://github.com/gustavostz/whisper-clip","clone":"git clone https://github.com/gustavostz/whisper-clip.git","description":"WhisperClip simplifies your life by automatically transcribing audio recordings and saving the text directly to your clipboard. With just a click of a button, you can effortlessly convert spoken words into written text, ready to be pasted wherever you need it. This application harnesses the power of OpenAI’s Whisper for free.","language":"Python","stars":138,"topics":["audio-processing","audio-transcription","clipboard","openai","productivity","productivity-tools","python","speech-recognition","speech-to-text","whisper"],"license":"MIT","category":"ai-agents","readme_excerpt":"WhisperClip: One-Click Audio Transcription WhisperClip simplifies your life by automatically transcribing audio recordings and saving the text directly to your clipboard. With just a click of a button, you can effortlessly convert spoken words into written text, ready to be pasted wherever you need it. Powered by OpenAI's Whisper model via faster-whisper, it provides fast, free, and fully local transcription — your audio never leaves your machine. Table of Contents - Features - Installation - Prerequisites - Setting Up the Environment - Choosing the Right Model - Usage - Configuration - Mobile Remote Transcription - Server Setup - Access from Anywhere — the Relay (recommended) - Network Setup (fallback: same Wi-Fi or VPN) - iOS Shortcut Setup - Android Setup - Quick Access Tips - Feedback - Acknowledgments Features - Record audio with a simple click or global hotkey ( Alt+Shift+S ). - Fast, local transcription using OpenAI's Whisper model with GPU acceleration (CUDA). - Option to save transcriptions directly to the clipboard. - Transcribe existing audio files via the file picker. - Optional LLM context prefix — prepends a note explaining the text was generated via speech-to-text. - Real-time audio visualizer showing recording and transcription states. - Remote transcription API — transcribe audio from your phone using your PC's GPU via an iOS Shortcut or Android app. Installation Prerequisites - Python 3.10 or higher - CUDA is highly recommended for better performance but not","default_branch":null,"files":null,"tree":[],"storefront":"/r/gustavostz","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/gustavostz/whisper-clip/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}