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FYI, I am using Mac OS and I have python 3 installed with also MacOS homebrew installed&nbsp;
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FYI, I am using Mac OS and I have python 3 installed with also MacOS homebrew installed 

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Hi Folks,<br><br>I trying to run the code for the Data extractor for PDF invoices as given in the following resource. I am using pycharm for running this code. But though I see the relevant packages and folders I am still getting this error for every package. For example i get the following error when I try to run the main program. <br><br><a href="https://github.com/invoice-x/invoice2data" rel="ugc">https://github.com/invoice-x/invoice2data</a><br><br>&nbsp; &nbsp;Traceback (most recent call last):<br>&nbsp; File "/Users/kalyangolla/Documents/Invoice_PDF_OCR/invoice2data-master/src/invoice2data/main.py", line 10, in &lt;module&gt;<br>&nbsp; &nbsp; from .input import pdftotext<br>ImportError: attempted relative import with no known parent package
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Hi Folks,
I trying to run the code for the Data extractor for PDF invoices as given in the following resource. I am using pycharm for running this code. But though I see the relevant packages and folders I am still getting this error for every package. For example i get the following error when I try to run the main program.
https://github.com/invoice-x/invoice2data
   Traceback (most recent call last):
  File "/Users/kalyangolla/Documents/Invoice_PDF_OCR/invoice2data-master/src/invoice2data/main.py", line 10, in <module>
    from .input import pdftotext
ImportError: attempted relative import with no known parent package

Data extractor for PDF invoices - invoice2data.......OCR/ML...Python

A Portable Document Format (PDF) is a file format consisting of an electronic image resembling a printed document and can be viewed, printed, and electronically transmitted. PDF files can store various types of data, including formatted text, vector graphics, and raster images. The page layout defines the location, size, and shape of each page and each item on the page. The information looks the same no matter what device or program is used to open it.

Machine learning involves computers discovering how they can perform tasks without being explicitly programmed to do so. It involves computers learning from data provided so that they carry out certain tasks. For simple tasks assigned to computers, it is possible to program algorithms telling the machine how to execute all steps required to solve the problem at hand; on the computer's part, no learning is needed. For more advanced tasks, it can be challenging for a human to manually create the needed algorithms. In practice, it can turn out to be more effective to help the machine develop its own algorithm, rather than having human programmers specify every needed step.

Artificial Intelligence

Optical character recognition (OCR) is the mechanical or electronic conversion of images of typed, handwritten or printed text into machine-encoded text. It is widely used as a form of data entry from printed paper data records, including passport documents, invoices, bank statements, computerized receipts, business cards, mail, printouts of static-data, or any suitable documentation. It is a common method of digitizing printed texts so that it can be electronically edited, searched, stored more compactly, displayed on-line, and used in machine processes such as machine translation, text-to-speech, key data and text mining. OCR is a field of research in pattern recognition, artificial intelligence and computer vision.