# Content Moderation and Compliance Using AWS AI Services
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Publication date: **October 28, 2022 ([Diagram history](#diagram-history))**

This architecture shows how to build customizable serverless workflows for reliable and scalable AI-based content moderation. With AWS AI services, you can automate content analysis across multiple media types.

## Content Moderation and Compliance Using AWS AI Services
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![Architecture diagram showing content moderation and compliance by using AWS AI services.](http://docs.aws.amazon.com/reference-architecture-diagrams/latest/content-moderation-compliance/images/content-moderation-compliance.png)


The following steps describe the architecture:

1. End users upload their content into the AWS Cloud.

1. [Amazon Transcribe](https://docs.aws.amazon.com/transcribe/latest/dg/what-is.html) and [Amazon Rekognition](https://docs.aws.amazon.com/rekognition/latest/dg/what-is.html) process the audio streams within video streams. They extract content moderation categories by using simple APIs.

1. Workflows, publisher/subscription patterns, and custom code moderate the content.

1. Content securely persists into an [Amazon Simple Storage Service](https://docs.aws.amazon.com/AmazonS3/latest/userguide/Welcome.html) bucket or another data store.

1. Amazon Transcribe converts audio into text. [Amazon Comprehend](https://docs.aws.amazon.com/comprehend/latest/dg/what-is.html) provides natural language processing (NLP) for analysis.

1. [Amazon Textract](https://docs.aws.amazon.com/textract/latest/dg/what-is.html) extracts content from documents. Amazon Comprehend NLP moderates the extracted content.

1. [Amazon SageMaker AI](https://docs.aws.amazon.com/sagemaker/latest/dg/whatis.html) Ground Truth integrates human workforces to customize model vocabularies and image labels.

1. [Amazon Augmented AI (Amazon A2I)](https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-use-augmented-ai-a2i-human-review-loops.html) brings humans into the loop for scenarios that are not fully automatable.

## Further reading
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For additional information, refer to the following resources:
+ [AWS Architecture Icons](https://aws.amazon.com/architecture/icons)
+ [AWS Architecture Center](https://aws.amazon.com/architecture)
+ [AWS Well-Architected](https://aws.amazon.com/architecture/well-architected)
+ [Amazon Rekognition product page](https://aws.amazon.com/rekognition/)

## Diagram history
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| Change | Description | Date | 
| --- |--- |--- |
| [Initial publication](#diagram-history) | Reference architecture diagram first published. | October 28, 2022 | 

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## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Reference Architecture Diagrams. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query reference-architecture-diagrams` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).