Summary

This chapter covered how the Form Recognizer service was deployed for Ocean Smart with details of the challenges encountered when building the solution. This includes deploying the storage used for document loading, storing, and processing. We also deployed a database for storing the details captured from the document processing with all the required settings for ensuring a secure deployment as well. For our example, we chose to use a Docker container with associated compute requirements to deploy our Form Recognizer example, so be sure to evaluate all options for your deployment. Finally, we provided an example of how Ocean Smart built an interface for the manual upload and processing of documents using the Django framework. There are many ways the service can be used in a production environment, while this chapter provided one option for building your own solution, so evaluate your options for your own deployments.

In the next chapter, we are going to explore how anomalies...