Awesome Ocr

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

kaldi-asr/kaldi is the official location of the Kaldi project.

GLM-OCR: Accurate × Fast × Comprehensive

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning. Ongoing development and maintenance by t2k.

A machine learning software for extracting information from scholarly documents

OpenMMLab Text Detection, Recognition and Understanding Toolbox

Camelot: PDF Table Extraction for Humans

A synthetic data generator for text recognition

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

Python-based tools for document analysis and OCR

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

Official implementation of Character Region Awareness for Text Detection (CRAFT)

A tensorflow implementation of EAST text detector

End-to-end Chinese scene-text detection and recognition with CTPN, CRNN, and CTC (legacy project).

Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

Deep Learning Chinese Word Segment

Text page dewarping using a "cubic sheet" model

基于Pytorch的OCR工具库，支持常用的文字检测和识别算法

make a better chinese character recognition OCR than tesseract

A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.

Generate text images for training deep learning ocr model

Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)

Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.

A post-processing tool for scanned sheets of paper.

Line based ATR Engine based on OCRopy

Official Pytorch implementations of PSENet.

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

Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

TextBoxes++: A Single-Shot Oriented Scene Text Detector

A small C++ implementation of LSTM networks, focused on OCR.

OCR toolbox from Davar-Lab

Recognizing cropped text in natural images.

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition

🖺 OCR using tensorflow with attention

TextBoxes: A Fast Text Detector with a Single Deep Neural Network

Medical image registration using deep learning

Code for the paper "DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks" (ICCV '19)

The code of "Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting"

Rotational region detection based on Faster-RCNN.

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

NeurIPS'24 Workshop - UniTable: Towards a Unified Table Foundation Model

A scene text recognition toolbox based on PyTorch

Library used to deskew a scanned document

This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.