A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.

multi-task learning for text recognition with joint CTC-attention

Efficient OCR engine for receipt image processing using Python, FastAPI, and Tesseract

PyraDox is a python tool which helps in document digitization by extracting text information and masking of personal information with the help of Tesseract-ocr.

Staff Identity Card OCR Project

Multiple OCR-engine interface

This Flask application empowers users to seamlessly upload image files like invoices or receipts, extract text using robust OCR technologies, and efficiently isolate key fields using precise regular expressions and multiprocessing to streamline data extraction and enhance productivity.

Streamlit based web frontend for PyraDox

OCR stands for optical character recognition. It is also known as an optical character reader (OCR) or text recognition.

This microservice standardizes the usage of Optical Character Recognition (OCR) engines

Vision AI service ( REST API ) for OCR ( optical character recognition ) 📷

OCR Demo

Using deep learning with PyTorch for a specialized subtitle text detection and recognition.

Advanced local OCR is a project, inspired by the text extraction some AIs do. So instead of leaving people paying for such services, why not publish a open-source version, that keeps the privacy of each user. The app allows integration with LLMs via APIs.

A basic ocr pipeline code written in tensorflow for CPU on EMNIST dataset

GoogleVision_OCR Project to Read out PDF

This system is a RESTful API that takes an image file as input and returns the text content of the image as output. The system uses the Tesseract OCR engine to extract text from the image.