Description:
transcribe 0.0.7
verb - To convert a representation of language to another
representation.
noun - Command line application to extract plain text from images
and audio files, written in Python.
OCR
To extract the text from an image:
$ transcribe ocr /path/to/image.jpg
Speech
To extract the text from an audio file:
$ transcribe speech /path/to/audio.mp3
Installation
Google Cloud setup
Transcribe uses Google’s cloud services to perform the text extraction,
that means you have to setup a Google cloud project. Below is roughly
how I did that…
I went to The console
Selected Project in the top left corner (to the right of Google Cloud
Platform) and then create a new project, wait a bit for it to create
the project and switch to it (this took like 20 seconds while I was
trying to figure out what the heck was going on). Then activate the
vision and speech apis (I think storage is automatically activated) and
then select Credentials, and create an api key. More auth info
here.
Turns out I also needed to create a service json
file.
To do this I needed to go to the dashboard for the
project
and then click Create credentials and choose Service account
key.
Then add this to your .bash_profile or something similar:
export GOOGLE_APPLICATION_CREDENTIALS="/path/to/keyfile.json"
ffmpeg
If you’re on a Mac and you use Homebrew, you can install ffmpeg like:
$ brew install --with-opus ffmpeg
If you’re not on a Mac or don’t use Homebrew you’re on your own.
Transcribe
Install using pip:
$ pip install transcribe
or the latest and greatest:
$ pip install "git+https://github.com/Jaymon/transcribe#egg=transcribe"
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Files:
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