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Transcribe and translate your recordings locally with OpenAI Whisper
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What this guide covers
For editors and creators who need text from their own recordings without uploading them. You end with a transcript from the command line or a short Python script, plus the route for translating speech into English. Based on the README and not run.
More about this guide
Guide ID: art_01M6W5PJ1CKVZYVH8AW202SMAZ
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Guide title
Transcribe and translate your recordings locally with OpenAI Whisper
Coverage
For editors and creators who need text from their own recordings without uploading them. You end with a transcript from the command line or a short Python script, plus the route for translating speech into English. Based on the README and not run.
Example
The example transcribes an English file, translates a French file with a larger model, then repeats the first in Python; file names are illustrative and nothing was run.
Useful starting points
- If you asked for translation but got English-looking output of the original, check you did not use the turbo model, which is not trained for translation.
- ffmpeg must be installed and on your path; open a new terminal after installing it.
- Accuracy varies by language, so compare the transcript against what you hear.
How connection and sharing work
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