Abstract: There is a sudden increase in digital data as well as a rising demand for extracting text efficiently from images. These two led to full optical character recognition systems are introduced ...

An advanced application that performs Optical Character Recognition (OCR) on images and PDFs, extracts text with layout preservation, and provides a question-answering interface based on the extracted ...

Accepts CAPTCHA image as a base64 string via CLI Outputs result and resource usage in JSON format Digit‑only OCR with strict preprocessing for improved accuracy ...

Python-tesseract é uma ferramenta de reconhecimento óptico de caracteres (OCR) para Python. Ou seja, ela reconhece e "lê" o texto incorporado em imagens. Python-tesseract é um wrapper para o mecanismo ...

Abstract: Optical Character Acknowledgment (OCR) stands as a transformative innovation at the crossing point of computer vision and machine learning, encouraging the extraction of printed data from ...

Abstract: This paper offers a comprehensive comparative analysis of Optical Character Recognition (OCR) techniques, spanning from traditional methods to advanced deep learning models such as ...

Normalized CSV/Parquet dataset with standardized fields Processing report showing extraction methods and confidence Auto-generated negotiation email drafts per carrier Performance: For the included ...

A document intelligence framework for Python. Extract text, metadata, and structured information from diverse document formats through a unified, extensible API. Built on established open source ...

This project demonstrates how to convert PDF files into images and preprocess them using OpenCV to optimize for Optical Character Recognition (OCR). The preprocessing steps include grayscale ...