Extract business insights from audio using AWS Transcribe, AWS Comprehend and Elasticsearch – Part 1 and 2- Skedler Blog

I’ve just published a new blog post on the Skedler Blog.
In this two-part blog post, we are going to present a system architecture to convert audio and voice into written text with AWS Transcribe, extract useful information for quick understanding of content with AWS Comprehend, index this information in Elasticsearch 6.2 for fast search and visualize the data with Kibana 6.2. In Part I, you can learn about the key components, architecture, and common use cases. In Part II, you can learn how to implement this architecture.

The components that we are going to use are the following:

  • AWS S3 bucket
  • AWS Transcribe
  • AWS Comprehend
  • Elasticsearch 6.2
  • Kibana 6.2
  • Skedler Reports and Alerts

System architecture:

You can read the full post – Part 1 – here: Extract business insights from audio using AWS Transcribe, AWS Comprehend and Elasticsearch – Part 1.

Part 2 – here: Extract business insights from audio using AWS Transcribe, AWS Comprehend and Elasticsearch – Part 1.

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