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:

Back by popular demand are LEAD white papers! There are many ways that we here at LEAD get the word out on how to use LEADTOOLS to create real-world solutions including this blog, CodeProject articles, support forums, code tips and the like. Lately we have had some requests for more in depth examples and solutions using LEADTOOLS which are best suited for a white paper format. So without further ado, here's a description of our first white paper in the upcoming series:

Using LEADTOOLS OCR to Enhance Google Drive Search
Google Drive is a wonderful service for storing, organizing and sharing files such as documents, photos and videos. However, TIFF and other raster image file formats can get easily lost because of the limited search capabilities. With LEADTOOLS, developers can use its OCR SDK to extract the text and then add it to the IndexableTextData for each item.