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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

This Course Includes
udemy
4.4 (78 reviews )
2h 24m
english
Online - Self Paced
professional certificate
Udemy
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.