OCR based Image to Text Conversion Flask Application
The OCR-based Image-to-Text Conversion Flask Application is a Python project that leverages an Optical Character Recognition (OCR) model to convert images into editable text. The application provides a user-friendly interface for uploading images, extracting text from them, and displaying the converted text to users. It offers features such as editing, copying, downloading, and saving the extracted text as a file.
Optical Character Recognition (OCR)
This project focuses on the development of a Flask application that utilizes an Optical Character Recognition (OCR) model to convert images into editable text. The application allows users to upload images and extracts the text from the uploaded images, providing users with a convenient way to digitize printed or handwritten text.
The OCR-based Image-to-Text Conversion Flask Application is designed to simplify the process of extracting text from images. The application utilizes an OCR model that has been trained on a diverse dataset to accurately recognize characters and convert them into editable text.
The Flask framework is used to develop the web application, providing a user-friendly interface for users to interact with. The application allows users to upload images in various formats, such as JPEG or PNG. Upon image upload, the application processes the image using the OCR model to extract the text contained within the image.
Once the text has been extracted, the application displays the converted text to the user. Users can then edit, copy, or download the extracted text as needed. Additionally, the application provides an option to save the converted text as a text file for future reference.
Flask, OpenCV, Tesseract, Pillow, Numpy