Whisper Transcript
Drag-and-drop local video and audio transcription powered by Whisper.
Lifecycle
Video
A cross-platform desktop application for private, offline transcription of video and audio files. It uses OpenAI's Whisper models running locally via whisper.cpp to generate SRT subtitles and timestamped Markdown transcripts without uploading data to the cloud.
Details
- Built with
- Large v3Strong
The project explicitly identifies OpenAI's Whisper as the engine and provides a picker for specific model versions including Large v3 Turbo.
README states 'Powered by whisper.cpp (OpenAI's Whisper, running locally)' and lists 'Large v3 Turbo' in the model picker table.
- Posted by
- Attributed to
- We haven't verified this person made this build — attribution is our best guess from public sources.
- Discovered
- Discovered onX
- Listed
- Added to Dropday 2h ago · model released Nov 6, 2023
- Evidence
- Strong
Public GitHub repository with full source code, a commit history, and functional releases for Windows and macOS.