Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
-
Updated
Jun 23, 2023 - Python
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Fast and simple OCR library written in Swift
Experimental optical character recognition app
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
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…
OCR engine for all the languages
Tesseract OCR wrapper for React Native
An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.
Fork of tess-two rewritten from scratch to support latest version of Tesseract OCR.
An AI-powered Personal Identifiable Information (PII) scanner.
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
Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)
Receipt scanner extracts information from your PDF or image receipts - built in NodeJS
A Swift wrapper around Tesseract for use in iOS, macOS, and Linux applications
Extract tables from scanned image PDFs using Optical Character Recognition.
Eden AI: simplify the use and deployment of AI technologies by providing a unique API that connects to the best possible AI engines
Add a description, image, and links to the optical-character-recognition topic page so that developers can more easily learn about it.
To associate your repository with the optical-character-recognition topic, visit your repo's landing page and select "manage topics."