Intelligently Extract Text & Data from Document with OCR NER Udemy Course
Develop Document Scanner App project that is Named entity extraction from scan documents with OpenCV, Pytesseract, Spacy
Welcome to Course “Intelligently Extract Text & Data from Document with OCR NER”!!! In this course you will learn how to develop customized Named Entity Recognizer. The main idea of this course is to extract entities from the scanned documents like invoice, Business Card, Shipping Bill, Bill of Lading documents etc. However, for the sake of data privacy we restricted our views to Business Card. But you can use the framework explained to all kinds of financial documents. Below given is the curriculum we are following to develop the project.
To develop this project, we will use two main technologies in data science are, Computer Vision, Natural Language Processing. In Computer Vision module, we will scan the document, identify the location of text and finally extract text from the image. Then in Natural language processing, we will extract the entitles from the text and do necessary text cleaning and parse the entities form the text.
What you’ll learn in Intelligently Extract Text & Data from Document with OCR NER Course
- Develop and Train Named Entity Recognition Model
- Not only Extract text from the Image but also Extract Entities from Business Card
- Develop Business Card Scanner like ABBY from Scratch
- High Level Data Preprocess Techniques for Natural Language Problem
- Real Time NER apps