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.

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LEAD is continuously updating and adding new features to LEADTOOLS. One feature that was rolled into Version 19 after the initial release includes enhanced SVG support. This enhancement allows users to load document and vector formats as SVG, which can then be handed off to other parts of LEADTOOLS such as the Document Writers. In other words, you can convert from formats such as DOC, PDF, DWG, DXF, etc. to other document formats such as PDF/A, HTML, and SVG without rasterization or OCR.

In Convert a Word Document to PDF (C#), I attached a project to show how to do the conversion in .NET. Now I have attached a C/C++ version of the project that will convert vector and document formats to PDF.

LEADTOOLS provides fast and highly accurate Optical Character Recognition (OCR) SDK technology for .NET (C# & VB), C/C++, WinRT, iOS, OS X, Java, and web. Developers around the world are leveraging the LEADTOOLS SDK to add high-performance OCR and document processing to their applications across all of the platforms in their enterprise, including server, desktop, and mobile devices.

OCR is a very processor intensive process, so native OCR on servers and desktops is expected. But, did you know that LEADTOOLS OCR also runs natively on Windows Phone, Android, and iOS? To test the performance of LEADTOOLS OCR on your our device, we have created several applications and put them in the respective app stores. These apps can OCR images stored on the device or taken with the camera in order to extract text or convert to a text based document format such as PDF or DOC.
Features include:

Enterprise Content Management (ECM) and eDiscovery aren’t necessarily all that new, but it’s becoming increasingly important to implement due to the continuing transition into a digital age. Businesses, especially large corporations, have a massive amount of electronically stored information (ESI) that they would be wise to retain for future possible legal ramifications, so the stakes are high.

Introduction

A wide variety of businesses are embracing technology as a means to enhance the way customers provide their information on the front-end of the customer service process. Upon arrival at the doctor's office, car dealership, gym or even a restaurant, customers might be handed a tablet or directed to a kiosk to check in. This is an exciting change for device manufacturers and software developers, but does it always translate to better customer service?

If the process is difficult or takes too long, customers are likely to get annoyed, or worse, take their business elsewhere. Therefore using technology for technology's sake isn't enough. To get the most out of their investment, business owners can use various imaging technologies to capture customer information to speed up the process and improve customer satisfaction. An ideal solution would capture information from a document or form of ID customers already have on them such as a driver's license. This white paper will explore how programmers can use LEADTOOLS Driver's License Recognition or Barcode Recognition to extract identifying information from driver's licenses.