Practical overview
When it fits
Use it when you want standalone Whisper or Faster-Whisper executables for command-line transcription or translation, particularly for media and batch workflows.
Who it is for
- People who want to run Whisper-based speech recognition from a command line without setting up Python.
- Subtitle editors and media workflows that can use the listed command-line tools.
- Users handling folders of media or needing speaker diarization, voice-activity detection or vocal extraction.
Documented uses
- Transcribe a single audio or video file with a selected language and model.
- Translate media using the documented task option.
- Process a folder recursively in a batch workflow.
- Use Faster-Whisper-XXL options for vocal extraction, voice-activity detection and speaker diarization.
Requirements & limits
Executables and libraries are available through the repository's Releases page. The repository describes x86-64 builds with distinct operating-system requirements; check the requirements for the specific build.
- Build requirements differ: Faster-Whisper lists Windows 7, Linux 5.4 and macOS 10.15 or later; Faster-Whisper-XXL lists Windows 10 and Linux 5.15 or later; standalone Whisper lists Windows 10 or later.
- The README describes the standalone Faster-Whisper version as deprecated and directs users to Faster-Whisper-XXL.
- Faster-Whisper-XXL includes optional vocal extraction, multiple VAD methods and speaker diarization.
- Models can download automatically or be downloaded manually; the README recommends medium or larger for decent transcription.
- CUDA detection selects GPU use automatically.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Transcribe one video with Faster-Whisper-XXL
Run the README's example for transcribing a video with a chosen language, model and output directory.
Before you start
- An x86-64 system meeting the Faster-Whisper-XXL requirements: Windows 10 or later, or Linux 5.15 or later.
- The Faster-Whisper-XXL executable from the repository's Releases page.
- A video file and a model; models can download automatically or be downloaded manually.
Steps
Download the executable from Releases.
Open a command-line interface in the executable's location.
Run the documented example, replacing the example file path as needed:
faster-whisper-xxl.exe "D:\videofile.mkv" --language English --model medium --output_dir source.
Expected outcome
The command requests transcription of the specified video using English and the medium model, with output directed to the source directory.
Guide limitations
- The README recommends using a model no smaller than medium for decent transcription.
- GPU use is selected automatically when CUDA is detected.
Submit a folder for recursive batch transcription
Use the documented Faster-Whisper-XXL folder example with recursive batch processing.
Before you start
- An x86-64 system meeting the Faster-Whisper-XXL requirements: Windows 10 or later, or Linux 5.15 or later.
- The Faster-Whisper-XXL executable from the repository's Releases page.
- A folder containing media files and a model.
Steps
Download the executable from Releases.
Open a command-line interface in the executable's location.
Run the documented example, substituting the folder path if needed:
faster-whisper-xxl.exe "D:\Folder" -l en -m turbo --sentence --batch_recursive.
Expected outcome
The command requests recursive batch processing of the specified folder, using English, the turbo model and sentence output.
Guide limitations
- The example's flags and model are reproduced as shown in the README; the project labels some Faster-Whisper settings and tweaks experimental.
- GPU use is selected automatically when CUDA is detected.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 15 October 2026
- Original website title
- Purfview/whisper-standalone-win · Official homepage title · retained in its source language