> For the complete documentation index, see [llms.txt](https://awsnotes.dendron.so/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://awsnotes.dendron.so/machine-learning/amazon-rekognition/topics/how-it-works.md).

# How it works

{% hint style="info" %}
This page was generated from content adapted from the [AWS Developer Guide](https://github.com/awsdocs/amazon-rekognition-developer-guide.git)
{% endhint %}

## Types of analysis

* **Note**\
  For information about Amazon Rekognition Custom Labels, see the [Amazon Rekognition Custom Labels Developer Guide](https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/what-is.html).

## Non-storage and storage API operations

* **Note**\
  The service does not persist actual image bytes. Instead, the underlying detection algorithm first detects the faces in the input image, extracts facial features into a feature vector for each face, and then stores it in the database. Amazon Rekognition uses these feature vectors when performing face matches.