As part of the LEAD Technologies 25th anniversary, we are creating 25 projects in 25 days to celebrate LEAD's depth of features and ease of use. Today's project comes from Aaron.

What it Does

This project converts images to searchable image-over-text PDF files with metadata using LEADTOOLS Version 19.

This month we're going back to the basics! Many of our white papers dive into very specific topics and use-cases. We've recently seen an uptick of interest in our core DICOM functionality and have therefore waded into that set of features in this white paper. Boiled down, DICOM is about loading, displaying, modifying and using medical images and its metadata.

Though this is about the "basics" of using DICOM in LEADTOOLS Medical Imaging SDKs, there's hardly anything basic about DICOM so it's all relative. The DICOM specifications are thousands of pages long and we have several experts in house that devote nearly all of their time towards implementing this ever changing imaging format and communications protocol. In typical LEADTOOLS fashion, our experts have exposed that functionality to you in an easy-to-use, yet lacking-nothing-in-features interface on multiple platforms.

In one of our first white papers, we wrote about how to use LEADTOOLS OCR to modify and improve your Google Drive search. Today we're publishing part two of that series and showing how to use the LEADTOOLS PDF SDK to improve Google Drive in a similar fashion.

The problem this white paper addresses is that Google Drive's search features do not look at the keywords metadata within PDF files. Many people use these keywords as an important way to catalog and keep track of their documents, so the usefulness of that information gets lost once synced into your Google Drive. Click the link below to read this new white paper: