Building Optical Character Recognition using reusable libraries

An Python application used to pre-process images of individual handwritten characters to increase OCR/ICR accuracy

Tiny wrapper around pytesseract with image preprocessing and OCR configurations

Medical imaging toolkit for deep learning

Real-time image preprocess and OCR.

A simple program to extract the text from an image before performing OCR

Simple app to extract text from pictures using Tesseract

Apache Tika bindings for PHP: extract text and metadata from documents, images and other formats

Easy formatted text extraction from images using Google Vision API

node.js module for extracting text from html, pdf, doc, docx, xls, xlsx, csv, pptx, png, jpg, gif, rtf and more!

Extract text from pdfs that contain searchable pdf text

📷 A simple image to text OCR scanner for macOS

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

Dilated Convolution for Semantic Image Segmentation

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Perform image segmentation and background removal in javascript using superpixes

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

A tool for extracting text from scanned documents (via OCR), with user-defined post-processing.

Process, enhance and evaluate multiple OCR output.

Post-processing tool for scanned pages

Given a text, wrap it into phrases and send them to google's search engine. If it yields a "did you mean:", substitute the original phrase for the suggestion. The software was originally developed for correcting OCR output.

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

A flexible framework of neural networks for deep learning

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.