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The PDF Association celebrates its members’ public statements
of support
for ISO-standardized PDF technology.

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By leveraging customer data and automation tools, companies can deliver targeted messages that are more likely to resonate with the customer and result in higher engagement and conversion rates.

PDF Week Fall 2023

Save October 16-20 for PDF Week Fall 2023 in San Francisco including an open Industry Symposium on Advancing PDF’s Imaging Model!

Arlington PDF Model powered by veraPDF logo

OPF is excited to announce the launch of the new PDF File Checker! Building on the great work done by the PDF Association and supported by the Defence Advanced Research Projects Agency (DARPA), veraPDF has developed an open-source PDF checker based on the Arlington PDF Model.

Adobe PDF Library Tutorial Videos white lettering on blue background with YouTube logo

Datalogics, Inc. has added two new video tutorials for its flagship PDF SDK, the Adobe PDF Library, to its new-and-improved YouTube channel.

DARPA SafeDocs logo

DARPA recognizes the PDF Association’s contributions to its SafeDocs program.

"" Webinar from iText by Apryse - Webinar Learn what's great about iText 8. Better than ever at digital Webinar is for June 28 Shows Al Sterling.

iText 8 is launches in its first release as part of the Apryse family.

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Deploy the AI capabilities of ChatGPT on PDF files within Foxit PDF Editor Cloud.

pdfRest showing flatten Annotations and Flatten layers

2 new API Tools expand upon the many ways in which pdfRest’s powerful toolkit helps optimize PDFs for specific intended usage.

ISO 32000-2, Figures 20 and 21.

PDF’s imaging model is due for its first refresh in 20 years. You can participate by joining the new PDF Association Technical Working Group dedicated to this objective.

Picture illustrating artificial intelligence

What if you could simply ask a question to a PDF file? What if you could receive answers that are contextually derived, presented in an easily understandable manner, and provided in the language of your query, regardless of the language of the original document?

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