WhisperX System Requirements (CPU, RAM, Disk)

WhisperX is a powerful open-source speech recognition tool that extends OpenAI's Whisper model with word-level timestamps, speaker diarization, and batched processing for significantly faster transcription. With over 22,000 GitHub stars, it combines the accuracy of Whisper with the speed of CTranslate2 (via faster-whisper) and the diarization capabilities of pyannote.audio. WhisperX aligns transcript timestamps to the word level using wav2vec2, making it ideal for applications requiring precise timing — subtitles, video editing, and audio analysis. It supports 90+ languages, handles long audio files efficiently through batched processing, and identifies who spoke when in multi-speaker recordings. The tool runs on consumer GPUs with as little as 2GB VRAM and offers Docker deployment for production use.