Being an important part of many document and imaging workflows, LEADTOOLS Annotations SDK provides an interface to mark up images with various shapes, notes, highlights, rulers, and redactions with options to either permanently alter the image or store information to undo and alter the annotations.

With a global focus on optimizing paperless office systems, virtual printing solutions have never been in higher demand. A Virtual Printer is a simulated device that simulates a physical printer but instead of printing on paper, it gives access to the file in memory and processes the pages so that users can save it to file or transmit it via other means such as email or to a database. Using the LEADTOOLS Virtual Printer SDK, developers can create virtual printer solutions to host locally or on a networked server to allow multiple users to access it. With LEADTOOLS support for over 150 file formats, users can save these virtual print jobs to just about any format.

This post is part of our 2017 Developer App Series, which showcases apps created by our Support Agents over the course of eight weeks. These apps are intended to be larger, more thoughtful apps with highly practical purposes in mind, as opposed to a basic "how to" for a feature.

App Description

This project from Amin will utilize two of the LEADTOOLS Callback filters to combine multiple videos into a single video output. It uses the RGB filters, the Video Resize Filter, and the Still Image Reader filter. The UI provides allows the user to add more than two videos as well as setting the order for combining them.

LEADTOOLS Version 19 is here! In case you missed it yesterday, we talked about all the new Document Imaging features in Version 19. To learn more about all the new features in Version 19, check out the full list.

Today, we will dive into the Medical Imaging SDK Technology in LEADTOOLS 19, which is headlined by the new HL7 SDK and redesigned HTML5 / JavaScript Medical Viewer.

There is a great and growing need for people and organizations to be able to quickly recognize and extract data from documents, images, and forms that are filled with varying areas of machine printed text, handwriting, graphics, and more (think: almost every type of form you’ve had to fill out and sign). Handwritten text specifically has been historically difficult to recognize due to variations in each and every sample set of handwriting. With LEAD’s continued commitment to advancing OCR technology, our developers set out to create a solution. Version 21 brings a new and improved ICR engine as well as brand new Mixed Mode AutoZone capabilities.