The Beauty of Buenos Aires

Maecenas gravida mauris quis consectetur tempor. Aenean at volutpat enim. Pellentesque eu lacus vulputate, semper arcu nec, dictum felis. Fusce et arcu maximus, faucibus erat non, accumsan odio. Donec vitae semper ante, sit amet feugiat risus. Quisque eu nibh in tortor euismod mattis id id leo. Proin malesuada vehicula nulla, id rutrum dolor fringilla in. Donec in enim metus. Nulla luctus ligula vitae ex aliquam pulvinar. Pellentesque non hendrerit sem. Curabitur placerat, ex ut pharetra ultrices, risus risus fringilla ante, in auctor velit magna vel quam. Donec mattis, elit in iaculis tristique, justo purus pretium enim, vel eleifend dolor lectus eu nisl. Integer id semper turpis.

45 minutes

Date

Unlock PDF Content with Apryse IDP Data Extraction

image of account executive

Account Executive Name

Account Executive Title

image of account executive

Account Executive Name

Account Executive Title

image of account executive

calendar-regular-48.png

Thursday, March 23

2:00 PM (ET)

What if PDF data extraction worked right out of the box, delivering accurate data without first training the model on all types of documents or having to manually check output for errors? 

Join our webinar co-hosted by John Chow, Product Manager, and Julian Ertelt, Product Marketing Manager, to learn about the latest Apryse Intelligent Document Processing (IDP) release. We’ll be talking about the new Intelligent Data Extraction component that marks a milestone advance in accuracy and efficiency of processing data, text, and content from stored PDF documents into your database. 

Learn how you can extract mission-critical information programmatically from your stored PDFs to unlock new opportunities for business analytics at scale, using data you already have.

In this webinar, you will learn about two real-life examples of these IDE features and how structured JSON extracts are leveraged in an everyday business context: 

  • Automated data labellingprogrammatic extraction and segmentation of PDF texts for AI, to reduce time and human error in tagging
  • Automated intaketurning an existing document repository or ongoing process of document intake into a database 
  • Q&A 

 

30 minutes

John Chow

Product Manager

Julian Ertelt

Product Marketing Manager