Optical Character Recognition for Table Extraction from PDF

Optical Character Recognition for Table Extraction from PDF, available at $29.99, has an average rating of 3.71, with 10 lectures, based on 7 reviews, and has 774 subscribers.

You will learn about How to use Paddle OCR to build a working PDF to Excel system Basics of FastAPI Building an OCR API Taking a working solution from Google Colab and Deploying This course is ideal for individuals who are Python Developers curious about Machine Learning or Software engineers wanting to deploy a working pdf to excel solution or Learners who want to practically make use of state of art OCR solutions It is particularly useful for Python Developers curious about Machine Learning or Software engineers wanting to deploy a working pdf to excel solution or Learners who want to practically make use of state of art OCR solutions.

Enroll now: Optical Character Recognition for Table Extraction from PDF

Summary

Title: Optical Character Recognition for Table Extraction from PDF

Price: $29.99

Average Rating: 3.71

Number of Lectures: 10

Number of Published Lectures: 10

Number of Curriculum Items: 10

Number of Published Curriculum Objects: 10

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

How to use Paddle OCR to build a working PDF to Excel system

Basics of FastAPI

Building an OCR API

Taking a working solution from Google Colab and Deploying

Who Should Attend

Python Developers curious about Machine Learning

Software engineers wanting to deploy a working pdf to excel solution

Learners who want to practically make use of state of art OCR solutions

Target Audiences

Python Developers curious about Machine Learning

Software engineers wanting to deploy a working pdf to excel solution

Learners who want to practically make use of state of art OCR solutions

Optical Character Recognition (OCR) systems are used in diverse industries today. With the development of better performing deep learning models, we are getting even better OCR solutions.

In this course, we shall take you on an amazing journey in which you’ll implement and deploy a working OCR solution. To be more precise we shall build a working solution in which a user inputs a PDF file and gets all the tables contained in the PDF as excel sheets. We’ll start from understanding how this system works, then build a working prototype on Google Colaboratory (Colab). From here, we shall build a simple API with the Fastapi framework. This will permit users input a PDF file and get as output a compressed file containing folders which themselves contain excel sheets with the different tables found in the PDF.

If you are willing to move a step further in your career, this course is destined for you and we are super excited to help achieve your goals!

This course is offered to you by Neuralearn. And just like every other course by Neuralearn, we lay much emphasis on feedback. Your reviews and questions in the forum will help us better this course. Feel free to ask as many questions as possible on the forum. We do our very best to reply in the shortest possible time.

Enjoy!!!

Course Curriculum

Chapter 1: Introduction

Lecture 1: What we shall Learn

Lecture 2: How the overall system works

Lecture 3: Link to Code

Chapter 2: Building PDF to Excel Solution on Google Colab

Lecture 1: Extracting Images from PDF

Lecture 2: Extracting information from each image (page)

Chapter 3: Deployment with Fastapi

Lecture 1: Introduction to Fastapi

Lecture 2: Building a simple API

Lecture 3: Testing the solution

Lecture 4: Conclusion

Chapter 4: Bonus

Lecture 1: Bonus

Instructors

Neuralearn Dot AI
Helping millions of learners, master Deep Learning.

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 1 votes

4 stars: 1 votes

5 stars: 3 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!