This Sypht SDK is a Kotlin client implementation to access the Sypht API. Sypht is an API for document data extraction to extract a set of fields from a range of documents. It provides a way to integrate Sypht into existing systems and utilizes field extraction for two simple requests; upload documents and retrieve results. It allows you to automate data extraction, and augment existing processes with a human validation tool, deep learning and traditional machine learning techniques. To access the API, developers will need to get a set of access credentials and generate a bearer Token. Sypht enables you with the ability to intelligently reason about document formats, and helps businesses unlock data hidden in documents by utilizing machine learning to automatically extract and interpret key data.
Earlier this week Microsoft announced that it is making some of the imagery used in its Virtual Earth platform available for purchase (more on Virtual Earth in our VE SDK profile). The imagery, taken with Microsoft's proprietary UltraCam shown below is available for approximately 200 cities (in high resolution and averaging less than two years old).
Hyland has released new capabilities to its Document Filters product offering. Each release aims to add additional file formats – pursuing its goal of providing the most complete filtering toolkit that can process all the files an organization encounters in a typical day.
Some of life's biggest sources of frustration often seem trivial. Take, for instance, the process of finding a parking spot. When you can't find one, few things can be more stressful. Fortunately, one company is using technology in an effort to eradicate parking nightmares. California-based Streetline has partnered with cities, universities, parking garages and transit agencies in the United States and internationally to build a large, smart parking network that helps those partners increase efficiency.