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Transcribe audio to timed text with faster-whisper
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What this guide covers
For editors and podcasters who want a timestamped transcript of one audio file from a Python script. You end with a short script that writes start and end times for each segment. It is based on the project README and was not run.
More about this guide
Guide ID: art_01M6TXAJ5VZE8A0804QMWFVYXV
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Guide title
Transcribe audio to timed text with faster-whisper
Coverage
For editors and podcasters who want a timestamped transcript of one audio file from a Python script. You end with a short script that writes start and end times for each segment. It is based on the project README and was not run.
Example
A hypothetical script transcribes interview.mp3 on CPU with the silence filter on and writes timed lines to a text file; the example was not run.
Useful starting points
- The transcription result is a generator, so nothing happens until you loop over it or wrap it in a list.
- Compare the transcript with the audio at the start, middle and end rather than trusting the first lines.
- When comparing against another Whisper tool, match the beam size and CPU thread count or the speed comparison is unfair.
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