Case Study

Insurance company leveraging Machine Learning and TensorFlow to read handwritten text on bills

Group insurance company automates manual process of text extraction from PDFs using Machine Learning skills

Beyond Key helped its decade-old insurance customer in identification and extraction of handwritten text from PDFs with a fully automated process using cutting-edge technologies like machine learning, deep learning, Python and TensorFlow Vision API.

About the Customer

The client is a New York-based top Group Insurance company that deals in Statutory Disability and Paid Family Leave-related insurance coverage. They received policy-related bills and forms which were filed both online as well as offline every day from their brokers, policy holders, and claimants. Beyond Key already developed a web and mobile portal for the client to keep track of online forms, but managing the offline forms was a challenge.

About the Project

Beyond Key identified the top priority as reducing manual entries into the system. They leveraged the power of machine learning with advanced technology use of Tensorflow and Python which could easily help them to read handwritten text on PDFs and make appropriate automated data entries into the software for further processing.

To get more details about this amazing Machine Learning and TensorFlow project, download and read our case study now!

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