DUP-ocropy
Document analyzer
A collection of tools for document analysis and OCR.
Python-based tools for document analysis and OCR
3k stars
205 watching
593 forks
Language: Jupyter Notebook
last commit: over 5 years agoLinked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A tool that adds OCR text to scanned PDF files, allowing them to be searchable and copy-pasted. | 14,363 | |
| Tools for manipulating and analyzing multi-lingual OCR results by representing them in a standard HTML format | 373 | |
| Automates OCR pipeline for text digitization and conversion of raw images into citable texts. | 86 | |
| A deep learning-based OCR library that enables efficient text parsing and recognition from documents | 4,011 | |
| Provides a PyTorch implementation of several computer vision tasks including object detection, segmentation and parsing. | 1,191 | |
| An OCR system built into a Docker container to perform text recognition on images. | 9 | |
| Automates conversion of machine learning code into production-ready microservices with web API and GUI. | 3,116 | |
| An OCR package using Tesseract C++ library to extract text from images | 2,751 | |
| A comprehensive library for training and applying deep learning models for image segmentation | 9,829 | |
| PyTorch implementation of a deep learning model for image segmentation | 90 | |
| Generates and manages proxy classes to abstract object behavior | 4,956 | |
| Toolkit for generating maps and 3D models from drone images | 4,944 | |
| A Python library that simplifies data analysis and visualization by annotating data instead of relying on manual plotting | 2,719 | |
| An OCR engine capable of recognizing text in images from various languages and formats. | 63,142 |