This video showcases how you can use the LEADTOOLS .NET Core libraries to build a cross-platform OCR Application. This sample application loads a sample image such as a TIF, performs OCR on the text, and outputs the recognized words into a PDF document.

For the source code for this project please visit our support forum: http://bit.ly/NETCoreOCR

HTML5 is certainly the way of the future, but as many web developers know, adoption can be slow. In many cases, older browsers such as IE8 is still in use enterprise-wide and a lightweight, feature packed solution is still required. LEADTOOLS pioneered lightweight ASP.NET Web Forms imaging years ago and is still a popular choice. Though not as flashy and responsive as HTML5, the heavy-lifting jobs such as Optical Character Recognition (OCR) are still done on the server side.

In the following example, you'll see how to add OCR functionality and image display into your ASP.NET Web Forms application.

This is the first project in a series of examples created by the LEADTOOLS Support Department. 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 C# console application monitors a directory and converts all the files pasted or dropped into the directory to searchable PDF files using LEADTOOLS Version 19.

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 Nathan.

What it Does

This application will search both raster image and document files for text and return matching files using LEADTOOLS Version 19.

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: