Optical-Character-Recognition-using-EasyOCR-and-Flask

Sentiment Analysis API

Table of contents

• Introduction
• Technologies
• Project Folder Structure
• Walkthrough
• Output
• Evaluation

Introduction

An optical character recognition project of python, Flask framework with Easy-OCR integration. User can upload digital images of writing and select languages then output of the project shows the characters or texts from the digital images as a text format.

Technologies

Project is created with:

• Python version: 3.10.6
• Flask Framework version: 2.2.2
• Easy-OCR: https://github.com/JaidedAI/EasyOCR
• HTML5
• CSS3

Project Folder Structure

Folder name: sentiment_analysis_api Subfolder and files:

-static - css | style.css - images | Pictures for upload.

-templates | base.html | index.html | upload_image.html | success.html

app.py

Walkthrough

Instruction to run the project:

---

Front page of web application

Upload Image

Select desired image from folder

Successfully Submit the desired image

Install virtual environment

py -m pip install --user virtualenv

create a virtual environment in OCR directory

python -m venv venv

Start virtual environment:

venv\Scripts\activate

install flask

pip install flask

install easyocr module

pip install easyocr

Now, set the flask app for app.py file

set FLASK_APP=app.py

now, run the file.

flask run

This project will be available at browser with localhost

127.0.0.1:5000 url.

Then follow the procedures input and output.

Output

Output can be found by uploading images.

Desired Output

Evaluation

This program is to learn the flask framework and how to integrate other functionalites to flask app. Future work planned: a) No previous language selection b) Dynamic recognition of the text/characters and output the result.

Thank you. :)