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Author:
Sanhe Hu
License:
MIT
Summary:
Blazingly fast, open-source audio-to-text transcription library with parallel processing - turn podcasts, videos, and lectures into AI-ready text at 120x lower cost than cloud services.
Latest version:
0.1.1
Required dependencies:
faster-whisper
|
fire
|
librosa
|
mpire
|
soundfile
Optional dependencies:
build
|
docfly
|
furo
|
ipython
|
nbsphinx
|
pygments
|
pytest
|
pytest-cov
|
rich
|
rstobj
|
sphinx
|
sphinx-copybutton
|
sphinx-design
|
sphinx-jinja
|
twine
|
wheel
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