Textract

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• Character Recognition
• Large Language Model (LLM) ... Natural Language Processing (NLP) ...Generation ... Classification ... Understanding ... Translation ... Tools & Services
• Textract | Amazon AWS

a service that automatically extracts text and data from scanned documents and also identify the contents of fields in forms and information stored in tables.

1. Create smart search indexes - Extract structured data from documents and create a smart index to allow you to search through millions of financial statements quickly. For example, a mortgage company could use Amazon Textract to process millions of scanned loan applications in a matter of hours and have the extracted data indexed in Amazon Elasticsearch. This would allow them to create search experiences like “search for loan applications where applicant name is John Doe,” or “search contracts where the interest rate is 2 percent.”
2. Build automated document processing workflows - Amazon Textract can provide the inputs required to automatically process forms without human intervention. For example, banks can automate loan applications using Amazon Textract. The information contained in the document could be used to initiate all of the necessary background and credit checks to approve the loan so that customers can get instant results of their application rather than having to wait several days for manual review and validation.
3. Maintain compliance in document archives - Because Amazon Textract identifies data types and form labels automatically, it’s easy to maintain compliance with information controls. For example, an insurer could use Amazon Textract to feed a workflow that automatically redacts personally identifiable information (PII) for their review before archiving claim forms by automatically recognizing the important key-value pairs that require protection.

What is the Elastic Stack?

The ELK stack is an acronym used to describe a stack that comprises of three popular open-source projects: Elasticsearch, Logstash, and Kibana. Often referred to as Elasticsearch, the ELK stack gives you the ability to aggregate logs from all your systems and applications, analyze these logs, and create visualizations for application and infrastructure monitoring, faster troubleshooting, security analytics, and more.

E = Elasticsearch - an open-source, RESTful, distributed search and analytics engine built on Apache Lucene. Support for various languages, high performance, and schema-free JSON documents

L = Logstash - an open-source data ingestion tool that allows you to collect data from a variety of sources, transform it, and send it to your desired destination. With pre-built filters and support for over 200 plugins, Logstash allows users to easily ingest data regardless of the data source or type

K = Kibana - an open-source data visualization and exploration tool for reviewing logs and events. Kibana offers easy-to-use, interactive charts, pre-built aggregations and filters, data visualization and exploration tool used for log and time-series analytics, application monitoring, and operational intelligence use cases. It offers powerful and easy-to-use features such as histograms, line graphs, pie charts, heat maps, and built-in geospatial support.