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Whisper standalone win

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

From Purfview·Updated June 14, 2026·View on GitHub·

[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. The project is first published in 2023. It has gained significant community traction with 3,072 stars and 165 forks on GitHub. Key topics include: asr, ctranslate2, diarization, faster-whisper, openai.

Latest release: ProFaster-Whisper-XXL Pro r3.256.1
November 7, 2025View Changelog →

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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.

Usage examples:

  • 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

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

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

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

Standalone Faster-Whisper-XXL Pro info:

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

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Contributors

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This article is auto-generated from Purfview/whisper-standalone-win via the GitHub API.Last fetched: 6/14/2026