> For the complete documentation index, see [llms.txt](https://docs.docbits.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.docbits.com/administration-and-setup/settings/document-processing/module/models-and-labels.md).

# Models & Labels

### Overview

The **Models & Labels** setting unlocks the **AI Models** area in DocBits. When it is enabled, an extra **AI Models** tab appears on the **Classify & Extract** settings page, where you can manage the custom AI models used to recognize and extract data from your documents.

This setting is **disabled by default**.

### What Does It Do?

* **Enabled** — An **AI Models** tab is shown on the Classify & Extract page (Settings → Document Processing → Classify & Extract). From there you can view and manage your organization’s custom models.
* **Disabled** — The AI Models tab is hidden and custom model management is not available.

{% hint style="info" %}
This setting controls access to **custom AI model management**. It is meant for organizations that train or maintain their own extraction models.
{% endhint %}

### Benefits

* **Custom extraction**: Manage AI models tailored to your own document types.
* **Better recognition over time**: Maintain the models that drive field detection.
* **Kept out of the way**: The AI Models tab only appears for organizations that need it.

### How to Use

1. Go to **Settings**.
2. Select **Document Processing**.
3. Select **Module**.
4. Open the **Document Type** section.
5. Find **Models & Labels** and switch the toggle on.
6. The **AI Models** tab then appears on the **Classify & Extract** page, where you can manage your custom models.

### When to Use This Feature

* **Custom AI models**: When your organization uses its own trained models for classification or extraction.
* **Advanced setups**: When a team maintains and tunes models as part of document processing.
* **Leave it off** for standard setups that rely only on the built-in models.


---

# 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://docs.docbits.com/administration-and-setup/settings/document-processing/module/models-and-labels.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.
