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https://github.com/purfview/whisper-standalone-win

Whisper & Faster-Whisper standalone executables for those who don't want to bother with Python.
https://github.com/purfview/whisper-standalone-win

asr ctranslate2 faster-whisper faster-whisper-xxl openai speech-recognition speech-to-text subtitles transcriber uvr whisper whisper-faster whisper-faster-xxl whisperx

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

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README 

        
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![alt text](https://i.imgur.com/DYVm3u6.png)



[Standalone executables](https://github.com/Purfview/whisper-standalone-win/releases) of [OpenAI's Whisper](https://github.com/openai/whisper) & [Faster-Whisper](https://github.com/guillaumekln/faster-whisper) for those who don't want to bother with Python.



**Faster-Whisper** executables are x86-64 compatible with Windows 7, Linux v5.4, macOS v10.15 and above.   

**Faster-Whisper-XXL** executables are x86-64 compatible with Windows 7, Linux v5.4 and above.   

**Whisper** executables are x86-64 compatible with Windows 7 and above.   

Meant to be used in command-line interface or in programs like [Subtitle Edit](https://github.com/SubtitleEdit/subtitleedit), [Tero Subtitler](https://github.com/URUWorks/TeroSubtitler), [FFAStrans](https://ffastrans.com/wp/).     

Faster-Whisper is much faster & better than OpenAI's Whisper, and it requires less RAM/VRAM.



## Usage examples:

* `whisper-faster.exe "D:\videofile.mkv" --language English --model medium --output_dir source`

* `whisper-faster.exe "D:\videofile.mkv" -l English -m medium -o source --sentence`

* `whisper-faster.exe "D:\videofile.mkv" -l Japanese -m medium --task translate --standard`      

* `whisper-faster.exe --help`



## Notes:



Executables & libs can be downloaded from `Releases`. [at the right side of this page]    

Don't copy programs to the Windows' folders! [run as Administrator if you did]       

Programs automatically will choose to work on GPU if CUDA is detected.   

For decent transcription use not smaller than `medium` model.   

Guide how to run the command line programs: https://www.youtube.com/watch?v=A3nwRCV-bTU   

Examples how to do batch processing on the multiple files: https://github.com/Purfview/whisper-standalone-win/discussions/29   



## Standalone Whisper info:



Vanilla Whisper, compiled as is - no changes to the original code.   

A reference implementation, stagnant development, atm maybe useful for some tests.

   

## Standalone Faster-Whisper info:



Some defaults are tweaked for movies transcriptions and to make it portable.    

Features various new experimental settings and tweaks.   

Shows the progress bar in the title bar of command-line interface. [or it can be printed with `-pp`]   

By default it looks for models in the same folder, in path like this -> `_models\faster-whisper-medium`.   

Models are downloaded automatically or can be downloaded manually from: https://huggingface.co/Systran        

`beam_size=1`: can speed-up transcription twice. [ in my tests it had insignificant impact on accuracy ]     

`compute_type`: test different types to find fastest for your hardware. [`--verbose=true` to see all supported types]    

To reduce memory usage try incrementally: `--best_of=1`, `--beam_size=1`, `-fallback=None`. 



## Standalone Faster-Whisper-XXL info:



Includes all Standalone Faster-Whisper features +the additional ones, for example:   

Preprocess audio with MDX23 Kim_vocal_v2 vocal extraction model.   

Alternative VAD methods: 'silero_v3', 'silero_v4', 'pyannote_v3', 'pyannote_onnx_v3', 'auditok', 'webrtc'.   

Read more about it in [the Discussions' thread](https://github.com/Purfview/whisper-standalone-win/discussions/231).



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