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Python Machine Learning Project on Image to Text Reader
The capacity to extract text from photographs has several applications in the modern world, ranging from automating data entry to digitizing documents. The field of Optical Character Recognition (OCR) has experienced significant improvements as a result of machine learning developments. This article explores the main elements, supporting technologies, and possible use cases of a project that combines Python, Django, and machine learning to create an image-to-text reader. Through the use of optical character recognition (OCR) technology, computers can now modify and search text that is stored in photographs, scanned documents, and other visual formats. OCR is used for a number of tasks, including processing business cards, digitizing printed documents, and identifying text in photos for accessibility features. The project called "image-to-text reader" uses Django, Python, and machine learning to build a web application that can translate images into text. The individual parts of the project and their functions are described in depth in the following sections.
Static Pages and other sections :
These static pages will be available in project Image to Text Reader
- Home Page with good UI
- Home Page will contain an animated slider for images banner
- About us page will be available which will describe about the project
- Contact us page will be available in the project
Technology Used in the project Image to Text Reader
We have developed this project using the below technology
- HTML : Page layout has been designed in HTML
- CSS : CSS has been used for all the desigining part
- JavaScript : All the validation task and animations has been developed by JavaScript
- Python : All the business logic has been implemented in Python
- MySQL : MySQL database has been used as database for the project
- Django : Project has been developed over the Django Framework
Supported Operating System
We can configure this project on following operating system.
- Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install Python, PIP, Django.
- Linux : We can run this project also on all versions of Linux operating system
- Mac : We can also easily configured this project on Mac operating system.