Standalone executables of OpenAI's Whisper & 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 - the last executables are x86-64 compatible with Windows 10, Linux v5.15 and above.
Faster-Whisper-XXL Pro - as above. Special non-public version for the donators.
Whisper - executables are x86-64 compatible with Windows 10 and above.

Meant to be used in command-line interface or in programs like:
Subtitle Edit, Tero Subtitler, FFAStrans, AviUtl, PotPlayer
Faster-Whisper is much faster & better than OpenAI's Whisper, and it requires less RAM/VRAM.

• faster-whisper-xxl.exe "D:\videofile.mkv" --language English --model medium --output_dir source
• faster-whisper-xxl.exe "D:\Folder" -l en -m turbo --sentence --batch_recursive
• faster-whisper-xxl.exe "D:\videofile.mkv" -l ja -m medium --task translate --standard -o source
• faster-whisper-xxl.exe --help

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

Vanilla Whisper, compiled as is - no changes to the original code.
A reference implementation, stagnant development, atm maybe useful for some tests.

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: Systran & Purfview
Deprecated. Use Faster-Whisper-XXL

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', 'silero_v5', 'pyannote_v3', 'pyannote_onnx_v3', 'auditok', 'webrtc'.
Speaker Diarization.
Read more about new features in the Discussions' thread.

Special non-public version for the donators.
Includes some new advanced features, there is the log: the Discussions' thread.