Example with diarization:
However, the original repository does provide a standalone .exe . You have two safe options: Option A (Recommended for non-coders) Use a community-packaged release from trusted builders like Oobabooga or Conda-based wrappers . One known pre-built Windows executable is from: https://github.com/Diwank/whisperX (check Releases tab for .exe if available). Option B (Build it yourself) If no official .exe exists, use PyInstaller to convert the Python package to an .exe : whisperx.exe download
Here’s a concise guide to downloading and using whisperx.exe —a common executable for , a fast, forced-alignment speech-to-text tool. Guide: Downloading & Using whisperx.exe What is WhisperX? WhisperX improves OpenAI’s Whisper by adding word-level timestamps and speaker diarization (who said what). The .exe version is a pre-built executable for Windows (no Python required). Step 1: Locate the Official Source ⚠️ Never download whisperx.exe from untrusted third-party sites. The official project is on GitHub: 🔗 https://github.com/m-bain/whisperX Option B (Build it yourself) If no official
whisperx.exe audio.mp3 --model tiny --align_model WAV2VEC2_ASR_LARGE_LV60K_960H | Argument | Purpose | |----------|---------| | audio.mp3 | Your input file | | --model | Whisper model ( tiny , base , small , medium , large ) | | --align_model | Forced alignment model (default: WAV2VEC2_ASR_LARGE_LV60K_960H ) | | --diarize | Speaker diarization | | --output_dir ./outputs | Save results | Example with diarization: However