CERberus -- guardian against character errors 🐶🐶🐶

OCR pro is a web application written in Google Apps Script, to Convert PDF and photo files to text. OCR pro use Google Drive's OCR technology Website: http://ocrpro.blogspot.in/

A collection of NLP Applications built using FastAPI, HTML, CSS, and Streamlit.

Welcome to 📜 Optical_character_recognition using Python 👋

Optical Character Recognition App built with MATLAB. For the recognition and extraction of single characters and words present in an image.

Optical character recognition web application based on Django, fetch images from clipboard (Screenshot) and convert them in text. Tech used- Html, css, python, Django.

Can convert English text image to Tamil, English, Hindi Text and Speech

A web-based Python application for real-time English text recognition from a live camera feed using Flask and EasyOCR.

Title: Build and deploy web service to extract the information from invoices or billing material using Microsoft Azure and REST API service. (Explanation: It uses Microsoft Azure Optical Character Recognition Technique and other Microsoft Azure techniques to extract information from invoices and other billing materials to solve the customer's pr…

Transforming images into code at a click. Upload a photo or screenshot and copy the code to your script in seconds!

An intelligent recipe book

OCR Flask Application: A web application built using Flask that leverages Azure Computer Vision API for Optical Character Recognition (OCR). Users can upload images, extract text from them, and download the processed results. The app is deployed on Azure App Service for scalability and accessibility.

A comprehensive platform that leverages AI to digitize and streamline patient health data. Supports text, voice, and image input across multiple languages, enabling efficient data entry. Includes an advanced data visualization dashboard for real-time health insights.

A university project for Artificial Intelligence course, Visionic is designed to assist the elderly by integrating advanced computer vision and audio processing technologies.

This Django project on PythonAnywhere digitizes catalogs via text, Indic text, voice, OCR for images. Supports image-text, audio modes for data capture. User-friendly interface for viewing digitized records.