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Data Extraction Basics for Docs and Images with OCR and NER

Become a Data Extraction Expert with Python, Pandas, OCR, NER, and Spacy : Learn to Train and Build Real-World Solutions

     
  • 4.4
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  • Reviews ( 78 )
₹559

This Course Includes

  • iconudemy
  • icon4.4 (78 reviews )
  • icon2h 24m
  • iconenglish
  • iconOnline - Self Paced
  • iconprofessional certificate
  • iconUdemy

About Data Extraction Basics for Docs and Images with OCR and NER

Master Intelligent Data Extraction with Python: A Deep Dive into OCR, NLP, and Computer Vision

Elevate your data science and machine learning skills by mastering advanced techniques for extracting valuable information from diverse document formats.

This comprehensive course is designed to equip you with the tools and knowledge to efficiently extract data from PDFs, images, and other documents. You'll delve into cutting-edge techniques in Optical Character Recognition (OCR), Natural Language Processing (NLP), and Computer Vision to automate data extraction processes and streamline your workflows.

Key Topics Covered:

Fundamental Image Processing Concepts:

Pixel-level operations

Image filtering and noise reduction

Image transformations and feature extraction

OCR with Tesseract:

Tesseract OCR engine and its configuration options

Image preprocessing techniques for optimal OCR performance

Handling complex layouts and document structures

Fine-tuning Tesseract for domain-specific text extraction

Text Extraction with PyTesseract:

Leveraging PyTesseract for efficient text extraction

Advanced PyTesseract techniques for handling challenging documents

Integrating PyTesseract into data pipelines

Natural Language Processing (NLP) with Spacy:

Text preprocessing and tokenization

Part-of-speech tagging and dependency parsing

Named Entity Recognition (NER) for identifying key information

Customizing Spacy models for specific domains

Building Data Extraction Pipelines:

Designing efficient data extraction workflows

Handling diverse document formats (PDF, images, Word, etc.)

Combining OCR, NLP, and computer vision techniques

Error handling and quality assurance strategies

By the end of this course, you'll be able to:

Extract text from complex document layouts with high accuracy

Build robust data extraction pipelines for various applications

Apply advanced NLP techniques to analyze and extract insights from text data

Leverage computer vision techniques to preprocess and enhance image-based documents

Customize and fine-tune OCR and NLP models for specific domains

Join us to unlock the power of data and gain a competitive edge in the field of data science and machine learning.

What You Will Learn?

  • Learn how to extract data from PDFs, Word docs, scanned images, and more with ease. .
  • Use Tesseract and PyTesseract to perform optical character recognition (OCR) on images with accuracy. .
  • Develop a common pipeline for data extraction from different types of input documents. .
  • Learn how to develop a robust data extraction workflow .
  • Get started on how to use Spacy efficiently for labelling .
  • Learn how to train Spacy for your own data set .
  • Use Pandas to convert extracted data to a CSV format .
  • Design a customizable technical OCR solution for data extraction.