WhisperX

WhisperX is an open-source speech-recognition toolkit designed to improve Whisper transcription, particularly timestamp accuracy. It uses faster-whisper for transcription, wav2vec2-based forced alignment for word-level timestamps, VAD for speech segmentation, and pyannote-based speaker diarization to identify different speakers. It is particularly useful for long-form audio, interviews, meetings, podcasts and subtitle generation. It is primarily a developer/local tool, installed through Python/PyPI rather than a consumer SaaS application. Country availability: No specific country restriction is stated for WhisperX. Because it is open-source and runs locally, it is generally usable wherever its dependencies and models can be accessed. Some optional models/services, such as Hugging Face speaker-diarization models, may have their own access requirements.