Browsing: Extraction

This post was co-authored with Krišjānis Kočāns, Kaspars Magaznieks, Sergei Kiriasov from Sun Finance Group If you process identity documents at scale—loan applications, account openings, compliance…

import subprocess import sys print(“📦 Installing system dependencies…”) subprocess.run([‘apt-get’, ‘update’, ‘-qq’], capture_output=True) subprocess.run([‘apt-get’, ‘install’, ‘-y’, ‘-qq’, ‘libnss3’, ‘libnspr4’, ‘libatk1.0-0’, ‘libatk-bridge2.0-0’, ‘libcups2’, ‘libdrm2’, ‘libxkbcommon0’, ‘libxcomposite1’, ‘libxdamage1’, ‘libxfixes3’,…

In this tutorial, we explore how to use Google’s LangExtract library to transform unstructured text into structured, machine-readable information. We begin by installing the required dependencies…

IBM has announced the release of Granite 4.0 3B Vision, a vision-language model (VLM) engineered specifically for enterprise-grade document data extraction. Departing from the monolithic approach…

Why Document OCR Still Remains a Hard Engineering Problem? What does it take to make OCR useful for real documents instead of clean demo images? And…

There’s an awful lot of schadenfreude in the video game industry at the moment. Players have long been skeptical of live-service titles, and one only needs…

As AI technologies advance, truly helpful agents will become capable of better anticipating user needs. For experiences on mobile devices to be truly helpful, the underlying…

NewsFeedPresident Donald Trump said his administration will decide which oil companies are allowed to operate in Venezuela, as he met oil executives at the White House…

I gingerly step through broken glass, flanked by two world-weary teammates, entering a long-abandoned supermarket to hunker down as rotors whir overhead. We’d already wasted enough…

Image by Author   # Introduction  Did you know that a large portion of valuable information still exists in unstructured text? For example, research papers, clinical notes,…