• views: 125
• date: 21 June 2023
• posted by: voska89

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
Requirements
Basic Python Programming Experience
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
Homepage

https://www.udemy.com/course/optical-character-recognition-for-table-extraction-from-pdf/

   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.