videntta

A simple yet powerful program that you can use to extract emails from Large files If intergrated or expanded can be helpful to data researchers to gather emails from Large document(s).

Installation

videntta requires Python to run. Download Videntta program from github and store it in your desired folder location .e.g. Desktop. Next extract the zip and you are good to start. As simple as that.

Now lets run our program in your desired terminal. For demonstration I'll be using Command Prompt(cmd), Linux users can as well follow up:

--Windows users

C:\Desktop> cd videntta    (Videntta is the folder we extracted the program into)
C:\Desktop> dir            (To view the directory)
C:\Desktop> python vein.py  (Now running our program to extract the emails)

--Linux Users

$ cd downloads\videntta       (Assuming the downloaded program is in downloads)
$ ls                          (To view the files inside our folder)
$ python vein.py

After running the script, it will prompt you to input the path to your file( the one you extracting emails from..). Email extraction will happen on the backend automatically and present an output on a separate file with the name match(to present the email match output).

You can also run sample extraction process using the text document residing withing the Test-Doc folder.

ToDo:

Extraction->

• EXtract emails from unified resource locators
• Email extractions from microsoft word documents
• Support extractions from PDF, Word documents and other types of documents

Output-->

• Support export to pdf
• Custom Watermark Insertion in output document(for proper presentation)

How to contribute

  > git clone https://github.com/stevemats/videntta.git

  > git pull

  > git checkout -b "your-branch-name"

• Make changes and git add changes + git commit those changes
• then finally:

  > git push (and remember to create a pr)

• you can also contribute to my own branches using

  git fetch origin <my-branch-here>

Then finally:

> git checkout <branch>

The Project is open for Contribution