While PDF files are flexible and portable, unfortunately they are not always searchable. In fact, a very common request is for the ability to parse text from PDFs. Luckily, LEADTOOLS OCR Engine makes extracting searchable text from PDF files a breeze. LEAD’s AI-enhanced engine can accept any PDF (searchable or not) and extract the text from it, using OCR where necessary. After extraction LEADTOOLS can save that information to a text file, a searchable PDF file, or any of our other 150+ supported document formats.

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 Nick Villalobos will utilize the LEADTOOLS Imaging and Document SDK to show a simple Java Image Viewer in addition to recognizing barcodes or performing OCR on the image.

We are excited to announce a new resource for our Android developers: Maven artifacts! In addition to our usual .zip package, we now have a Maven repository to make it even easier to develop Java apps for Android. For example, all you need to do is add the following line to our build file:

After a successful and productive exhibit at AnDevCon, we have had a rewarding time talking to our many customers using the LEADTOOLS Android SDK. It is growing rapidly in popularity, and developers are putting it to use in many exciting ways. Fairly soon, LEADTOOLS should literally be in the palms of millions of hands around the world.

While the LEADTOOLS Android Java class library provides powerful imaging technology, some customers require native only apps or are simply more skilled and comfortable with C/C++ development. Recently, we have had several customers ask if it was possible to use LEADTOOLS C/C++ to create native Android apps (using the Android NDK) instead of using the Java class library. Never backing down from a challenge, our Developer Support agents created a sample project that shows off this functionality. Here’s a snippet of the C++ code that exposes L_IntensityDetectBitmap through JNI:

We have received several requests regarding PACS and DICOM Communication within our Android imaging SDK. One way of accomplishing this is by using JSON to communicate with the RESTful web services included with the HTML5 Zero Footprint DICOM Viewer.

The snippet below shows a portion of the asynchronous code that calls the RESTful Medical Viewer Service and then parses the JSON response to get the SOP Instance UID. After that, the SOP Instance UID is used to get the image data and put it into an InputStream.