solution to extract the text from image and get wordlevel output as dataframe
Input an image and get the extracted text as a dataframe which gives the content, coordinates (x,y,w,h) and confidence of each word. Essentially, it is a wrapper on pytesseract to output a dataframe.
(currently solution works on Tesseract 5.0.0 only)
adding path to path variable (for Tesseract)
sudo apt install tesseract-ocr
sudo apt install libtesseract-dev
pip install tesseract2dict
A sample usage of our solution is shown below. Input an image as numpy.ndarray and the extracted dataframe at word level is returned.
import cv2 from tesseract2dict import TessToDict td=TessToDict() inputImage=cv2.imread('path/to/image.jpg') word_dict=td.tess2dict(inputImage,'out','outfolder')
Anil Prasad M N - Project Manager, AI Labs, Bridgei2i Analytics Solutions - Github
This project is licensed under the MIT License - see the LICENSE.md file for details
NOTE: This software depends on other packages that may be licensed under different open source licenses.
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