OpenMMLab Text Detection, Recognition and Understanding Toolbox
-
Updated
Nov 27, 2024 - Python
OpenMMLab Text Detection, Recognition and Understanding Toolbox
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
A synthetic data generator for text recognition
A wrapper to work with Tesseract OCR inside PHP.
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
A curated list of resources dedicated to scene text localization and recognition
A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.
Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
Free Offline OCR 离线的中文文本检测+识别SDK
🌝 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。
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
Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.
ASTER in Pytorch
Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)
A pure pytorch implemented ocr project including text detection and recognition
Tesseract OCR wrapper for React Native
Connectionist Temporal Classification (CTC) decoder with dictionary and language model.
Add a description, image, and links to the text-recognition topic page so that developers can more easily learn about it.
To associate your repository with the text-recognition topic, visit your repo's landing page and select "manage topics."