Text recognition (optical character recognition) with deep learning methods, ICCV 2019

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

Optical character recognition for Japanese text, with the main focus being Japanese manga

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

Experimental optical character recognition app

(CRNN) Chinese Characters Recognition.

make a better chinese character recognition OCR than tesseract

Amica is an open source interface for interactive communication with 3D characters with voice synthesis and speech recognition.

This project lets you create your own AI desktop companion with customizable characters and voice conversations that respond in just 1 second. Features include long-term memory, visual recognition, voice cloning and LLM training. Compatible with various Live2D customizations.

:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

ctpn+crnn Scene character recognition

TIKTOD V3 is a bot application designed to automate interactions on Zefoy website, such as increasing views, hearts, followers, and shares on a specified video. The bot uses technologies like Selenium for web automation and OCR (Optical Character Recognition) for solving captchas.

Light-LPR is an open source project aimed at license plate recognition that can run on embedded devices, mobile phones, and x86 platforms. It aims to support license plate recognition in various scenarios. The accuracy rate of license plate character recognition exceeds 99.95%, and the comprehensive recognition accuracy rate exceeds 99.%, Support multi-country and multilingual license plate recognition.

Provides OCR (Optical Character Recognition) services through web applications

Optical Character Recognition in Swift for iOS&macOS. 银行卡、身份证、门牌号光学识别

JavaScript optical character recognition demo

A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).

Optical character recognition in manga images. Manga OCR desktop application

OpenClaw Desktop Assistant MVP - Electron-based AI voice assistant with Live2D character animations, real-time speech recognition, and text-to-speech

Character set detector - .NET standard & .NET

an open high-performance Optical Character Recognition (OCR) toolkit

I made a real time Sudoku solver using the camera, it looks for the edges of the Sudoku in the frame, extracts it, solves it and overlays the solution on the puzzle itself. For the digit recognition, I used a CNN, trained using Keras with printed characters from the different ubuntu fonts. For the image processing part, I used OpenCV for the edge detection.

Extract tables from scanned image PDFs using Optical Character Recognition.

Offline Handwritten Chinese Character Recognition based on GoogLeNet and AlexNet (With CaffeModel)

Powerful handwritten text recognition. A simple-to-use, unofficial implementation of the paper "TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models".

A powerful OCR (Optical Character Recognition) package that uses state-of-the-art vision language models

Handwritten Korean Character Recognition with TensorFlow and Android

Multi-service, multi-platform optical character recognition

An open source dataset based on Danbooru2018 dataset to do anime character recognition, with 1M images and 70k characters.

Seven Segment Optical Character Recognition