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Optical Character Recognition for Table Extraction from PDF

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Neuralearn Dot AI

1:05:42

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  • 1. What we shall Learn.mp4
    02:58
  • 2. How the overall system works.mp4
    10:12
  • 3. Link to Code.html
  • 1. Extracting Images from PDF.mp4
    03:55
  • 2. Extracting information from each image (page).mp4
    06:02
  • 1. Introduction to Fastapi.mp4
    14:24
  • 2. Building a simple API.mp4
    19:31
  • 3. Testing the solution.mp4
    08:05
  • 4. Conclusion.mp4
    00:35
  • 1. Bonus.html
  • Description


    Building and deploying a PDF to Excel system using PaddleOCR and Fastapi

    What You'll 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 is this for?


  • 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
  • What You Need to Know?


  • Basic Python Programming Experience
  • More details


    Description

    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!!!

    Who this course is for:

    • 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

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    Neuralearn Dot AI
    Neuralearn Dot AI
    Instructor's Courses
    We provide world class courses in Mathematics for Deep Learning (Linear Algebra, Calculus, Probability, Statistics, Optimization), Core Deep Learning Theory (Going from the basics of Machine Learning up to most recent state of art Deep Learning Algorithms) and Practical Deep Learning applied in fields like Computer vision and Natural Language Processing, using modern tools like TensorFlow, PyTorch, HuggingFace, KubeFlow, …
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 8
    • duration 1:05:42
    • English subtitles has
    • Release Date 2023/07/31