Metadata-Version: 1.1
Name: transcribe
Version: 0.0.4
Summary: Convert images or audio files to plain text on the command line
Home-page: http://github.com/Jaymon/transcribe
Author: Jay Marcyes
Author-email: jay@marcyes.com
License: MIT
Description: Transcribe
        ==========
        
        1. *verb* - To convert a representation of language to another
           representation.
        2. *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 <https://console.cloud.google.com>`__
        
        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 <https://cloud.google.com/vision/docs/common/auth>`__.
        
        Turns out I also needed to `create a service json
        file <https://cloud.google.com/storage/docs/authentication#generating-a-private-key>`__.
        To do this I needed to go to `the dashboard for the
        project <https://console.cloud.google.com/apis/credentials?project=vision-157908>`__
        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-1:
        
        Transcribe
        ~~~~~~~~~~
        
        Install using pip:
        
        ::
        
           $ pip install transcribe
        
        or the latest and greatest:
        
        ::
        
           $ pip install "git+https://github.com/Jaymon/transcribe#egg=transcribe"
        
Keywords: ocr transcription speech-to-text speech-recognition command-line-tool
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: End Users/Desktop
Classifier: Topic :: Text Processing
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
