Advanced-Optical-Character-Recognizer

(Document-to-Text-and-Speech)

Make a shallow clone of the repository in system’s local environment.

git clone https://github.com/harshitsaini/Document-to-Text-and-Speech.git —depth 1

Install the packaged repository in system’s local/virtual environment using setup.py present in the root directory of the cloned repository. This command installs a library named doc2speech.

python3 setup.py install

Python code below is an example of how the doc2speech library works.

import doc2speech
# Driver function
if __name__ == '__main__':
  # Path of the folder where document image is present
  doc_path    = "/path/to/documentImage/"
  # Name of the document image to be converted
  docName     = 'doc.png'
  # Path of the folder where output has to be generated
  output_path = "/path/to/output/"
  doc2speech.performConversion(doc_path    = doc_path,
                               docName     = docName,
                               output_path = output_path)