Metadata-Version: 2.1
Name: voxscribe
Version: 1.1.1
Summary: Extract text from .wav and .mp3 files.
Project-URL: Homepage, https://github.com/matt-manes/voxscribe
Project-URL: Documentation, https://github.com/matt-manes/voxscribe/tree/main/docs
Project-URL: Source code, https://github.com/matt-manes/voxscribe/tree/main/src/voxscribe
Author: Matt Manes
License-File: LICENSE.txt
Keywords: audio,speech,text
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.10
Requires-Dist: pydub
Requires-Dist: pytest
Requires-Dist: requests
Requires-Dist: speechrecognition
Requires-Dist: whosyouragent
Description-Content-Type: text/markdown

# voxscribe
Extract text from .wav and .mp3 files. <br>
Install with:
<pre>pip install voxscribe</pre>
FFmpeg also needs to be installed and in your PATH.<br>
It can be obtained here: https://ffmpeg.org/ <br>
Usage:<br>
<pre>
from voxscribe import get_text_from_url, get_text_from_WAV, get_text_from_MP3
# For web hosted audio (mp3 or wav needs to be specified in the second argument)
text = get_text_from_url("https://github.com/matt-manes/voxscribeTestAudio/blob/main/testaudio.mp3?raw=true", '.mp3')
#For local files
text = get_text_from_MP3('some/filePath/someAudio.mp3')
#or
text = get_text_from_WAV('some/other/filePath/someOtherAudio.wav')
</pre>