#96 · Primary category: Speech & Audio

whisper-standalone-win

asr ctranslate2 diarization faster-whisper openai speaker-diarization speech-recognition speech-to-text subtitles transcriber uvr vocal-extractor whisper whisper-faster whisperx

Whisper & Faster-Whisper standalone executables for those who don't want to bother with Python.

Project last updated:11/07/25

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Why we included this project

Subtitle and transcription work usually means installing Python and getting a Whisper environment running before you can transcribe anything. This project removes that step by shipping Whisper and Faster-Whisper as ready-to-run executables for Windows, Linux, and macOS, so you can point one at a video file or a whole folder and get subtitles back straight from the command line. The Faster-Whisper builds run faster and use less memory than the reference implementation, and they pick up CUDA automatically when a GPU is present. The XXL variant goes further, adding optional vocal extraction, voice-activity detection, and speaker diarization, which helps when you are editing interviews or podcasts. Because the binaries run from the command line, they drop into tools like Subtitle Edit and PotPlayer or into your own batch scripts without much setup.

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