Visual interface for OpenAI Whisper speech recognition. Point-and-click transcription without terminal commands. All Whisper models accessible through simple menus.
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All Whisper functionality through point-and-click interface
Forget terminal commands and Python scripts. Every Whisper feature accessible through visual menus and buttons.
Choose between tiny, base, small, medium, and large models from a dropdown. One-click model downloads with progress indicator.
Configure language, output format, and processing options through organized settings interface. Save preferences for future sessions.
Drop audio files directly onto the window for instant transcription. Supports MP3, WAV, M4A, and other common formats.
Click the record button for real-time voice transcription. Visual feedback shows audio levels and processing status.
Browse past transcriptions in the history panel. Search, copy, or export any previous transcription.
A Whisper GUI (Graphical User Interface) is a visual application that wraps OpenAI's Whisper speech recognition system. Instead of typing terminal commands to transcribe audio, users interact with buttons, menus, and drag-and-drop functionality.
GUIs make Whisper accessible to users without programming experience. The underlying transcription engine remains identical, delivering the same 99% accuracy, but the interaction method changes from text commands to visual elements.
Download, update, and switch between Whisper models through the interface. See model sizes and estimated accuracy before downloading. Storage usage displayed clearly.
During microphone recording, watch audio waveform in real time. Visual confirmation that speech is being captured. Audio level indicators prevent clipping.
View transcriptions with proper formatting. Timestamps displayed alongside text. Copy buttons for quick clipboard access. Export to multiple formats including TXT, SRT, and VTT.