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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Whisper & Faster-Whisper standalone executables for those who don't want to bother with Python.
| Date | Stars |
|---|---|
| 2026-07-24 | 3123 |
| 2026-07-25 | 3127 |
| 2026-07-28 | 3133 |
| 2026-07-30 | 3136 |
| 2026-08-06 | 3136 |
Today
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Momentum
0.0
growth rate 0.00%/day
[](https://www.paypal.com/donate?hosted_button_id=JF5BEQE3YQGH2) [](https://buymeacoffee.com/purfview)
[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** - the last executables are x86-64 compatible with Windows 10, Linux v5.15 and above.
[**Faster-Whisper-XXL Pro**](https://github.com/Purfview/whisper-standalone-win/discussions/456) - 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](https://github.com/SubtitleEdit/subtitleedit), [Tero Subtitler](https://github.com/URUWorks/TeroSubtitler), [FFAStrans](https://ffastrans.com/wp/), [AviUtl](https://github.com/oov/aviutl_subtitler), [PotPlayer](https://potplayer.daum.net)
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](https://huggingface.co/Systran) & [Purfview](https://huggingface.co/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](https://github.com/Purfview/whisper-standalone-win/discussions/322).
Read more about new features in [the Discussions' thread](https://github.com/Purfview/whisper-standalone-win/discussions/231).
## 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](https://github.com/Purfview/whisper-standalone-win/discussions/456).
[](https://www.paypal.com/donate?hosted_button_id=JF5BEQE3YQGH2)
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170
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:caaa2469e9445ecf, topic:speech-recognition, topic:asr, topic:whisper