Transcribe speech and identify speakers with WhisperX
Transcribe speech with WhisperX in Python, identify speakers, and search the transcript with word-level timestamps.
Recipe · Updated
Extract audio from video
Extract the audio track from video files for transcription, analysis, or processing.
Audio · Notebook · Updated
Colab runs it in your browser. If it calls a model provider, it asks for that provider's API key in a cell.
How it works
You use the extract_audio function to create an audio column from video. This integrates seamlessly with transcription and other audio processing.
What it covers
- Extract audio from video as a computed column
- Choose audio format (mp3, wav, flac)
- Chain with transcription for automatic video-to-text
What it uses
- Install
- terminalpip install pixeltable 'numpy<2.4' openai-whisper
- Pixeltable calls
video.extract_audio()whisper.transcribe()pxt.create_table()add_computed_column()insert()
A look at the code
audio-extract-from-video.ipynb
# Add computed column to extract audio as MP3videos.add_computed_column(audio=extract_audio(videos.video, format='mp3'))
One cell of the notebook, copied as it is. Open it in Colab for the rest.
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