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.

OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

Unlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing.

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

Toolkit for linearizing PDFs for LLM datasets/training

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.

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.

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)

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.

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

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

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.https://github.com/huoyijie/raspberrypi-car

Line based ATR Engine based on OCRopy

Official Pytorch implementations of PSENet.

Math OCR model that outputs LaTeX and markdown

Visual Attention based OCR

OCR engine for all the languages

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

A supermarket receipt parser written in Python using tesseract OCR

Scene text recognition

Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018

OCR toolbox from Davar-Lab

Recognizing cropped text in natural images.

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

🖺 OCR using tensorflow with attention

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"

A pure pytorch implemented ocr project including text detection and recognition

Rotational region detection based on Faster-RCNN.

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

A scene text recognition toolbox based on PyTorch

Library used to deskew a scanned document

Turn images of tables into CSV data. Detect tables from images and run OCR on the cells.

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition