This Sypht SDK is a C#/.Net 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.
Over 57 million Americans get their health insurance through Medicare. However, one barrier to significantly improved care has been the free flow of Medicare claims data between dissimilar systems. According to the US Digital Service however, version 2.0 of the Blue Button API should fix that.
Spatial data provider Maponics has released a new API that provides developers with access to several boundary data sets. Previously available as a beta release in February, the Maponics Spatial API (our Maponics API profile) provides access to carrier route, ZIP Code and neighborhood data for the United States.
The ability to analyze information and use the results to make more informed decisions is something that interests a lot of people. Developers, publishers, and small to large business owners all collect an overwhelming amount of data pertaining to the work that they do. Employing a staff of analysts to sift through the onslaught of what can sometimes seem to be useless information is obviously one way to solve this problem, ‘Machine Learning’ is another.