Intelligently Extract Text & Data from Document with OCR NER

Develop Document Scanner App project that is Named entity extraction from scan documents with OpenCV, Pytesseract, Spacy
4.62 (469 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Intelligently Extract Text & Data from Document with OCR NER
4 357
students
7.5 hours
content
May 2025
last update
$69.99
regular price

Why take this course?

🌟 Course Title: Intelligently Extract Text & Data from Document with OCR NER

🚀 Headline: Develop Document Scanner App - Named Entity Extraction from Scanned Documents using OpenCV, Pytesseract, Spacy

🌍 Description:

Welcome to Course "Intelligently Extract Text & Data from Document with OCR NER"!!! 🎉

In this comprehensive course, you will embark on a journey to develop a customized Named Entity Recognizer (NER) that can extract entities from scanned documents such as invoices, business cards, shipping bills, and bill of lading documents. Although our primary focus for privacy reasons will be on business cards, the techniques and frameworks you'll learn can be applied to a wide range of financial documents.

🔍 Curriculum Overview: To build this project, we will harness the power of two pivotal technologies in data science: Computer Vision for scanning and text extraction, and Natural Language Processing (NLP) for entity recognition and parsing.

📈 Python Libraries:

  • Computer Vision Module:
    • OpenCV
    • Numpy
    • Pytesseract
  • Natural Language Processing:
    • Spacy
    • Pandas
    • Regular Expression
    • String

🚀 Development Stages:

Stage-1: Project Setup

  • Install Python
  • Install Dependencies

Stage-2: Data Preparation

  • Gather Images
  • Overview on Pytesseract
  • Extract Text from all Images
  • Clean and Prepare text

Stage-3: Labeling NER Data

  • Manually Labeling with BIO technique
    • B: Beginning
    • I: Inside
    • O: Outside

Stage-4: Data Preprocessing for Machine Learning

  • Prepare Training Data for Spacy
  • Convert data into spacy format

Stage-5: Training the Named Entity Model

  • Configuring NER Model
  • Train the model

Stage-6: Predicting and Parsing Entities

  • Load Model
  • Render and Serve with Displacy
  • Draw Bounding Box on Image
  • Parse Entitles from Text

🎓 Final Project:

We will culminate our learning by creating a document scanner application that leverages the power of OpenCV, Pytesseract, and Spacy to extract text and entities from scanned documents.

Are you ready to take your data extraction skills to the next level? Let's start developing this Artificial Intelligence project today! 🚀

Enroll now and transform your approach to document handling with cutting-edge OCR NER technology. 📜➡️🧠

Loading charts...

Related Topics

4107158
udemy ID
07/06/2021
course created date
11/11/2021
course indexed date
Bot
course submited by