Udemy - Automatic Scanned Document Data Extraction OCR NER in Python torrent

Automatic Scanned Document Data Extraction OCR NER in Python



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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.14 GB | Duration: 3h 6m
Learn and Build Business Card Scanner App from Scratch with Python, Spacy, Pytesseract.
What you'll learn
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

Description
Welcome to Course "Automatic Scanned Document Data Extraction OCR NER in Python" !!!

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.

Section -0 : Setting Up Project