Basic HTR concepts/modules to boost performance

React Native OCR module powered by Google ML Kit. Supports multi-language text recognition, on-device OCR, lightweight model loading, Android & iOS support, and optimized performance for Expo & React Native apps.g for optimized app size.

Recognize multilingual text from images

Flutter app that scans Turkish ID cards using Google ML Kit OCR & automatic edge detection. Extracts TC No, name, birthdate, serial number. Supports gallery import, scan history, clipboard copy, share, TR/EN localization and dark mode.

A simple Python + Tkinter + Tesseract-based GUI image-to-text copypaste pad application

Nodejs wrapper package for easyocr python library

How to integrate text recognition using Google ML Kit - Flutter AI Integration Demo.

DocumentAI-std is a Python library designed to facilitate and standardize document analysis and processing tasks. It offers functionality for handling document elements, performing optical character recognition (OCR), and managing document datasets.

A simple web interface which extracts texts from Images & PDF files using AWS Textract service

Contains file for Matlab code for offline handwritten text recognition

This Python script uses Tesseract OCR to recognize handwritten text from an image file. It is optimized for Windows and includes error handling for missing files and processing issues.

This sample project demonstrates Android's Text Recognition in images.

AI models for recognizing RU or ENG captcha Vkontakte using Python, JS. Scripts to train an AI model for recognizing text captchas.

App for android (React Native)

A client-side OCR (Optical Character Recognition) application built using React.js, Tailwind CSS, and Google's Gemini API. The app allows users to upload multiple images and extract text from them using the Gemini Pro Vision model, which supports multi-language text detection. Features include live text editing, memoization & multi download formats

Optical Text Recognition System | Python + OpenCV + Flask | Extracts, processes & displays text from images | Run Locally

The automated analysis and processing of anamnesis forms commonly used in medical documentation. The goal is to extract printed content from PDF forms, evaluate checkboxes, and match results against a predefined catalog of statements.

A complete OCR (Optical Character Recognition) application to extract text from images.

Extract and detect text from the captured image and also selected images from the gallery.

AI featured Fullstack Flutter Application with Image Recognition, Text Recognition, AI Chat-bot and other features.