Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...

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 ...

Optical character recognition (OCR) extracts text from images. It outputs searchable, editable, machine-readable data. Its origins can be traced back to electronic reading devices developed in the ...

Longtime accountant Wei Khjan Chan told Business Insider he learned vibe coding to stay ahead of AI. Chan said he felt the pressure mounting as headlines warned that AI could replace jobs like his. He ...

Abstract: Given the ubiquity of handwritten documents in human transactions, Optical Character Recognition (OCR) of documents have invaluable practical worth. Optical character recognition is a ...

Optical Character Recognition (OCR) is the process of turning images that contain text—such as scanned pages, receipts, or photographs—into machine-readable text. What began as brittle rule-based ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...