> For the complete documentation index, see [llms.txt](https://bluurdoc.bluur.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://bluurdoc.bluur.ai/en/functions/working-with-a-document/stages/ai-classification.md).

# AI classification

### Document classification

After a document is added, the system automatically starts its classification.

The classifier uses data search and recognition algorithms developed by BTC as well as artificial intelligence-based mechanisms. It analyzes the document's content and structure, then marks the recognized elements directly on its pages.

After classification is complete, the user should review the detected fields. They can remove incorrect markings and change their position and size before proceeding to anonymization.

Classification supports finding data, but does not replace the user's final verification. Information about how the model works and document processing can be found in the section [**AI model security**.](/en/getting-started/quick-start/key-features/ai-model-security.md)

{% hint style="info" %}
**Tip:** Classification time depends on the document size and the number of areas containing data that needs to be recognized. The analysis progress is visible on the loading bar. For documents containing up to about 1000 such fields, classification usually takes no longer than 30 seconds.
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://bluurdoc.bluur.ai/en/functions/working-with-a-document/stages/ai-classification.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.