Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
A community-supported supercharged version of paperless: scan, index and archive all your physical documents
Fast and simple OCR library written in Swift
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Experimental optical character recognition app
A Python wrapper for the tesseract-ocr API
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Personal Assistant built using python libraries. It does almost anything which includes sending emails, Optical Text Recognition, Dynamic News Reporting at any time with API integration, Todo list generator, Opens any website with just a voice command, Plays Music, Wikipedia searching, Dictionary with Intelligent Sensing i.e. auto spell checking…
Fork of tess-two rewritten from scratch to support latest version of Tesseract OCR.
OCR engine for all the languages
An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.
An AI-powered Personal Identifiable Information (PII) scanner.
Tesseract OCR wrapper for React Native
Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)
A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.
📋 Python wrapper to grab text from images and save as text files using Tesseract Engine
📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.
Eden AI: simplify the use and deployment of AI technologies by providing a unique API that connects to the best possible AI engines
Receipt scanner extracts information from your PDF or image receipts - built in NodeJS
Extract tables from scanned image PDFs using Optical Character Recognition.
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