ionic-ocr-example - :camera: Simple Ionic app using ocrad.js

•    Javascript

This is a simple Ionic 2 app using ocrad.js. If you want an Ionic 1 version of this, you can go to the v1 branch.

EasyOCR - Java OCR 识别组件（基于Tesseract OCR 引擎）。能自动完成图片清理、识别 CAPTCHA 验证码图片内容的一体化工作。Java Image cleanup, OCR recognition component (based Tesseract OCR engine, automatically cleanup image and identification CAPTCHA verification code picture content)

EasyOCR is a Java language using OCR recognition engine (based Tesseract). By means of a few simple API, the Java language can be used to complete the picture content identification work. And integrated image cleanup, recognition CAPTCHA image, bill notes and other content integration efforts. EasyOCR engine supports plugin programming, ETD templates support, provide a graphical ETD template design tools (EasyTemplateDesigner GUI). EasyOCR not only provide services for consumers, but mainly oriented to provide localized development SDK integration with C/S, B/S and Android mobile terminal native integration projects.

JS-OCR-demo - JavaScript optical character recognition demo

•    Javascript

JavaScript optical character recognition demo. Check it out here.

tesseract-ocr-for-php - A wrapper to work with Tesseract OCR inside PHP.

•    PHP

A wrapper to work with Tesseract OCR inside PHP. ‼️ This library depends on Tesseract OCR, version 3.03 or later.

pyocr - A Python wrapper for Tesseract and Cuneiform

•    Python

PyOCR is an optical character recognition (OCR) tool wrapper for python. That is, it helps using various OCR tools from a Python program.It has been tested only on GNU/Linux systems. It should also work on similar systems (*BSD, etc). It may or may not work on Windows, MacOSX, etc.

gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library

•    Go

Golang OCR package, by using Tesseract C++ library. Check Dockerfile for more detail of installation, or you can just try by docker run -it --rm otiai10/gosseract.

open-ocr - Run your own OCR-as-a-Service using Tesseract and Docker

•    Go

OpenOCR makes it simple to host your own OCR REST API. The heavy lifting OCR work is handled by Tesseract OCR.

tesseract - Tesseract Open Source OCR Engine (main repository)

•    C++

This package contains an OCR engine - libtesseract and a command line program - tesseract. The lead developer is Ray Smith. The maintainer is Zdenko Podobny. For a list of contributors see AUTHORS and GitHub's log of contributors.

SwiftOCR - Fast and simple OCR library written in Swift

•    Swift

SwiftOCR is a fast and simple OCR library written in Swift. It uses a neural network for image recognition. As of now, SwiftOCR is optimized for recognizing short, one line long alphanumeric codes (e.g. DI4C9CM). We currently support iOS and OS X. This is a really good question.

attention-ocr - A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine

•    Python

Visual attention-based OCR model for image recognition with additional tools for creating TFRecords datasets and exporting the trained model with weights as a SavedModel or a frozen graph. This project is based on a model by Qi Guo and Yuntian Deng. You can find the original model in the da03/Attention-OCR repository.

SwiftOCR - Fast and simple OCR library written in Swift

•    Swift

Please use Apple's Vision framework instead of SwiftOCR. It is very fast, accurate and much less finicky. SwiftOCR is a fast and simple OCR library written in Swift. It uses a neural network for image recognition. As of now, SwiftOCR is optimized for recognizing short, one line long alphanumeric codes (e.g. DI4C9CM). We currently support iOS and OS X.

Akshara Malayalam OCR

•    C++

Akshara Malayalam OCR is a project for the development of an OCR for printed and handwritten documents in Malayalam language. The inspiration is from similar OCR softwares in other languages etc.

JavaOCR

•    Java

Java OCR is an Optical Character Recognition algorithm based on a mean squared recognizer. This tool also includes utilities to trace and extract characters.

ruby-tesseract-ocr - A Ruby wrapper library to the tesseract-ocr API.

•    Ruby

This wrapper binds the TessBaseAPI object through ffi-inline (which means it will work on JRuby too) and then proceeds to wrap said API in a more ruby-esque Engine class. To make this library work you need tesseract-ocr and leptonica libraries and headers and a C++ compiler.

simple-ocr-opencv - A simple python OCR engine using opencv

•    Python

A simple pythonic OCR engine using opencv and numpy. In order for OCR to be performed on a image, several steps must be performed on the source image. Segmentation is the process of identifying the regions of the image that represent characters.

pdfocr - Adds text to PDF files using the cuneiform OCR software

•    Ruby

pdfocr adds an OCR text layer to scanned PDF files, allowing them to be searched. It currently depends on Ruby 1.8.7 or above, and uses ocropus, cuneiform, or tesseract for performing OCR. For more details, see the manpage.

android-ocr - Experimental optical character recognition app

•    Java

An experimental app for Android that performs optical character recognition (OCR) on images captured using the device camera. Runs the Tesseract OCR engine using tess-two, a fork of Tesseract Tools for Android.

gImageReader - A Gtk/Qt front-end to tesseract-ocr.

•    C++

gImageReader is a simple Gtk/Qt front-end to tesseract-ocr. The steps for compiling gImageReader from source are documented in the wiki.

baidu-ocr-api - :eyeglasses: Baidu OCR Api For Node.js

•    Javascript

:eyeglasses: Baidu OCR Api For Node.js

PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）

•    Python

PaddleOCR aims to create multilingual, awesome, leading, and practical OCR tools that help users train better models and apply them into practice. The above pictures are the visualizations of the general ppocr_server model. For more effect pictures, please see More visualizations.