whisper-standalone-win
Standalone executables for Whisper and Faster-Whisper speech recognition on Windows, Linux, macOS
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Decision brief
whisper-standalone-win is a collection of executable files for Whisper and Faster-Whisper models designed to simplify speech recognition tasks without requiring Python.
Good fit when
- When you need a no-code solution for speech-to-text transcription on Windows, Linux, or macOS.
- If you prefer command-line interfaces or integrating into programs like Subtitle Edit or Tero Subtitler.
Avoid when
- When your project requires real-time speech recognition capabilities, as this tool may have latency issues due to its standalone nature.
- If you require extensive customization or integration with other languages and tools that use Python APIs directly.
- Pricing:
- freemium - The basic versions are free to use. The 'Standalone Faster-Whisper-XXL Pro' offers advanced features exclusively to donators.
- Requirements:
- Min 8 GB RAM; Minimum RAM recommended based on the usage of not smaller than medium model for decent transcription.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (264d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/Purfview/whisper-standalone-winHow it fits your stack(1)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Offers executable files of Whisper and Faster-Whisper models designed to run without Python dependency across different operating systems.
Capability facts
No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 30, 2026)
github.com/guillaumekln/faster-whisper) for those who don't want to bother with Python.Source link
Tags
README
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 sourcefaster-whisper-xxl.exe "D:\Folder" -l en -m turbo --sentence --batch_recursivefaster-whisper-xxl.exe "D:\videofile.mkv" -l ja -m medium --task translate --standard -o sourcefaster-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.
For agents
This page has a .md twin and JSON over the API.