Python, text detection OCR

I am trying to extract data from a scanned form. The form has a standard format similar to the one shown in the image below:

I have tried using pytesseract (tesseract OCR) to detect the image's text and it has done a decent job at finding the text and converting the image to text. However it essentially just gives me all the detected text without keeping the format of the data.

I would like to be able to do something like the below:

Find a particular piece of text and then find the associated data below or beside it. Similar to this question using opencv Detect text region in image using Opencv

Is there a way that I can essentially do the following:

1. Either find all text boxes on the form, perform OCR on each box and see which one is the closest match to the "witnesess:" text, then find the sections immediately below it and perform separate OCR on those.
2. Or if the form is standard and I know the approximate location of the "witness" text section can I specify its general location in opencv and then just extract the below text and perform OCR on it.

EDIT: I have tried the below code to try to detect specific regions of the text. However it is not specifically identifying the text just all regions.

import cv2

img = cv2.imread('t2.jpg')
mser = cv2.MSER_create()

img = cv2.resize(img, (img.shape[1]*2, img.shape[0]*2))   
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
vis = img.copy()

regions = mser.detectRegions(gray)
hulls = [cv2.convexHull(p.reshape(-1, 1, 2)) for p in regions[0]]
cv2.polylines(vis, hulls, 1, (0,255,0)) 

cv2.imshow('img', vis)

Here is the result: