You just had to get lucky and hope that the document ID that you were looking at contains what you’re looking for,” said Igel ...

Despite widespread adoption of electronic health records (EHRs), health systems remain heavily dependent on faxed documents for critical patient information. At New York University Langone Health, ...

According to Andrew Ng (@AndrewYNg), LandingAI has launched a new course titled 'Document AI: From OCR to Agentic Doc Extraction,' taught by David Park and Andrea Kropp (source: Andrew Ng on Twitter, ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

This project is a robust, lightweight API designed to automatically ingest PDF documents (such as invoices), extract structured data using pre-defined templates, and persist the results into a ...

Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...

A production-ready Python system for processing large volumes of PDF documents, extracting structured business data, validating extracted fields, and exporting clean datasets to JSON and Excel formats ...

Abstract: Web data extraction has become a key technology for extracting valuable data from websites. At present, most extraction methods based on rule learning, visual pattern or tree matching have ...