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Transcribe audio files to text using OpenAI Whisper
Passed 18 of 18 test cases with the skill, and 5 of 18 without it.
and 14 more in the full report
16 fixed6 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
Process `chime.wav` quickly into `chime.json` using the fastest 39M parameter model and JSON output format.
| Checked | Without skill | With skill |
|---|---|---|
| Includes `--model tiny` flag. | Passed | Passed |
| Includes `--format json` flag. | Missed | Passed |
The instructions your model reads when the skill loads.
Transcribe audio files to text using OpenAI Whisper.
python3 scripts/transcribe.py <audio_file> <output_file>
# Specify model size (default: base)
python3 scripts/transcribe.py audio.mp3 transcript.txt --model medium
# Specify language (improves accuracy)
python3 scripts/transcribe.py audio.mp3 transcript.txt --language zh
# Include timestamps
python3 scripts/transcribe.py audio.mp3 transcript.txt --timestamps
# JSON output with metadata
python3 scripts/transcribe.py audio.mp3 output.json --format json
audio_file (required): Path to input audio fileoutput_file (required): Path to output text/JSON filetest cases passed, vs 5 / 18 without
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