Other examples include “radiobuttons” and “combobuttons”, the majority of your PDF inputs will be of these four types. For example, a text section would be (text)James AsherĪnd a checkbox would be (checkbox)unchecked What’s inside these brackets defines the type of input. All inputs, as well as starting on a new line, also start with a pair of brackets. Luckily, there is also another defining factor to help us isolate inputs. import os os.chdir(r"path/to/your/file/here") f = open(r"filename.txt", "r") f = f.read() sentences = f.splitlines()Īs promised this will give you a list of strings.īut, as mentioned, it’s only the user inputs we are interested in here.
This will provide a list of strings, with a new instance starting every time there was a newline character (\n) in the original string. txt file into Python with open() and read(), and then use splitlines() on it. And as we know, if there is a constant factor surrounding all things we are trying to extract that makes our lives a lot easier. txt files, all of our all input sections begin on a new line. We only want the answers and care little for the text surrounding them. The trick is to look for constants in the text and isolate them.Įither way, there’s a solution. I’m not sure if there is a technical reason for this or if it’s simply to make doing something like this more difficult. Sometimes the text surrounding a question can be above the response box, and sometimes it can be below. txt files, outputs can come out a bit funny. txt files, all you have to do is write some code that pulls out the answers that you want. Code written by Author - can be downloaded here: Convert to.