An 18th-century archaeological dig uncovered a library of intact but charred scrolls. Their contents have been unreadable ...

Scrolls from the Roman library of Herculaneum that were carbonised by a volcanic eruption have been read in their entirety ...

Mistral AI's OCR 4 delivers structured document intelligence with bounding boxes, confidence scores, and self-hosted ...

In this tutorial, we explore how to use the ParseBench dataset to evaluate document parsing systems in a structured, practical way. We begin by loading the dataset directly from Hugging Face, ...

Muon spin spectroscopy and in particular the avoid level crossing (ALC) technique is a sensitive probe of electron spin relaxation (eSR) in organic semiconductors. In complex ALC spectra, eSR can be ...

Abstract: Integrating local domain knowledge bases into domain-specific Question Answering (QA) systems enhances their professionalism and effectiveness. Recently, the Graph-based Retrieval-Augmented ...

The Academic Research Toolkit is a collection of standalone Python scripts and MCP (Model Context Protocol) servers designed to automate common research workflows. Extract text from PDFs, parse ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

There's a command-line interface too! Note: Camelot only works with text-based PDFs and not scanned documents. (As Tabula explains, "If you can click and drag to select text in your table in a PDF ...

Vector databases are revolutionizing how we handle unstructured data—think PDFs, images, or audio—for AI-driven applications like semantic search or recommendation systems. If you’re already using ...

This article provides a complete guide on how to convert PDF to XML using Python. It highlights common issues, offers practical solutions, and references various tools and libraries. PDFs are a widely ...

The complete Python script to count the number of words and characters in a PDF file is available in our GitHub's gist page: This Python script will analyze a PDF file by extracting its text content ...