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Top 60 text-recognition open source projects

Ocr.pytorch
A pure pytorch implemented ocr project including text detection and recognition
React Native Dialogflow
A React-Native Bridge for the Google Dialogflow (API.AI) SDK
Tesseract Ocr For Php
A wrapper to work with Tesseract OCR inside PHP.
Adelaidet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Crnn.pytorch
crnn实现水平和垂直方向中文文字识别, 提供在3w多个中文字符训练的水平识别和垂直识别的预训练模型; 欢迎关注,试用和反馈问题... ...
Pan pp.pytorch
Official implementations of PSENet, PAN and PAN++.
Transformer str
PyTorch implementation of my new method for Scene Text Recognition (STR) based on Transformer,Equipped with Transformer, this method outperforms the best model of the aforementioned deep-text-recognition-benchmark by 7.6% on CUTE80.
Awesome Scene Text Recognition
A curated list of resources dedicated to scene text localization and recognition
Sightseq
Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection
Text recognition toolbox
text_recognition_toolbox: The reimplementation of a series of classical scene text recognition papers with Pytorch in a uniform way.
Node Tesseract Ocr
A Node.js wrapper for the Tesseract OCR API
Cleval
CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks
Crnn With Stn
implement CRNN in Keras with Spatial Transformer Network
Php Apache Tika
Apache Tika bindings for PHP: extract text and metadata from documents, images and other formats
Sar tf
This is an implementation of Show, Attend and Read with tensorflow
Crnn
Convolutional recurrent neural network for scene text recognition or OCR in Keras
Tika Python
Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
Crnn Pytorch
✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition
Mlkit
A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS
Image Text Localization Recognition
A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約
Tr
Free Offline OCR 离线的中文文本检测+识别SDK
Total Text Dataset
Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.
Stn Ocr
Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
Cnn lstm ctc ocr
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
Ctcwordbeamsearch
Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.
Awesome Ocr Resources
A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).
Megreader
A research project for text detection and recognition using PyTorch 1.2.
Chineseaddress ocr
Photographing Chinese-Address OCR implemented using CTPN+CTC+Address Correction. 拍照文档中文地址文字识别。
Vedastr
A scene text recognition toolbox based on PyTorch
League Of Legends Bot
League of legends bot is a pixel bot for League Of Legends 10.19, written in C# .NET using image processing , and dependency injection (Pattern Scripting)
ocr
Simple app to extract text from pictures using Tesseract
MLKit
🌝 MLKit是一个强大易用的工具包。通过ML Kit您可以很轻松的实现文字识别、条码识别、图像标记、人脸检测、对象检测等功能。
Word-recognition-EmbedNet-CAB
Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"
insightocr
MXNet OCR implementation. Including text recognition and detection.
TextDetect
This app detects the text from the picture input using camera or photos gallery. The app uses MLVisionTextModel for on device detection. The Vision framework from MLKit of Google is used here.
CRNN
Convolutional recurrent neural network for scene text recognition or OCR in Keras
TextRecognizer
By this library you can extract text from image.
doctr
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Questor
Scan & Search text from hardcopy books and images! 📖 🔍
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