audio-transcriber 0.3.0

Transcribe your .wav .mp4 .mp3 .flac files to text or record your own audio!

Audio-Transcriber

Version: 0.3.0

Transcribe your .wav .mp4 .mp3 .flac files to text or record your own audio!

Usage:

Short Flag	Long Flag	Description
-h	--help	See Usage
-b	--bitrate	Bitrate to use during recording
-c	--channels	Number of channels to use during recording
-d	--directory	Directory to save recording
-e	--export	Export txt, srt, and vtt files
-f	--file	File to transcribe
-l	--language	Language to transcribe
-m	--model	Model to use: <tiny, base, small, medium, large>
-n	--name	Name of recording
-r	--record	Specify number of seconds to record to record from microphone

Example:

audio-transcriber --file '~/Downloads/Federal_Reserve.mp4' --model 'large'
audio-transcriber --record 60 --directory '~/Downloads/' --name 'my_recording.wav' --model 'tiny'

Model Information

Courtesy of and Credits to OpenAI: Whisper.ai

Size	Parameters	English-only model	Multilingual model	Required VRAM	Relative speed
tiny	39 M	tiny.en	tiny	~1 GB	~32x
base	74 M	base.en	base	~1 GB	~16x
small	244 M	small.en	small	~2 GB	~6x
medium	769 M	medium.en	medium	~5 GB	~2x
large	1550 M	N/A	large	~10 GB	1x

Install Instructions

Install Python Package

python -m pip install audio-transcriber

Ubuntu Dependencies

apt install -y libasound-dev portaudio19-dev libportaudio2 libportaudiocpp0 ffmpeg

Build Instructions

Build Python Package

sudo chmod +x ./*.py
sudo pip install .
python3 setup.py bdist_wheel --universal
# Test Pypi
twine upload --repository-url https://test.pypi.org/legacy/ dist/* --verbose -u "Username" -p "Password"
# Prod Pypi
twine upload dist/* --verbose -u "Username" -p "Password"