> For the complete documentation index, see [llms.txt](https://docs.apryse.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.apryse.com/explore-docs-with-ai/access-llms.txt.md).

# Access llms.txt

Guide AI assistants to the right content with a structured index.

The `llms.txt` file helps AI systems discover, understand, and navigate your documentation. Acting as a machine-readable index, it highlights key documentation resources and directs AI assistants, agents, and other AI-powered tools to the content they need. 

While human users typically rely on navigation menus, search, and links, AI systems benefit from a structured guide. The `llms.txt` file serves as that starting point, making documentation easier for AI tools to find and interpret.

### Discover the benefits

Using `llms.txt` helps to:

* Improve AI discovery of your published documentation.
* Help AI assistants understand how content is organized.
* Reduce the effort required to locate relevant information.
* Guide AI tools to important documentation resources.
* Surface key documentation sections, links, and resources.
* Support more accurate AI-powered answers and interactions.

### Decide when to use

The `llms.txt` file is most useful when you want AI systems to discover and navigate your documentation.

| Use llms.txt to                                                  | Consider another option to                                                                                                                           |
| ---------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------- |
| Make published documentation easier for AI tools to discover.    | <p>Ask questions while browsing documentation.<br>→ Use <a href="/explore-docs-with-ai/chat-with-ai-assistant.md">AI Assistant</a></p>               |
| Provide an AI-friendly entry point to documentation resources.   | <p>Work with a specific documentation page in an AI tool.<br>→ Use <a href="/explore-docs-with-ai/access-docs-as-markdown.md">Markdown pages</a></p> |
| Guide AI systems to important documentation sections.            | <p>Give AI tools access to the complete documentation.<br>→ Use <a href="/explore-docs-with-ai/access-llms-full.txt.md">llms-full.txt</a></p>        |
| Help AI assistants understand how documentation is organized.    | <p>Connect AI applications directly to documentation.<br>→ Use <a href="/explore-docs-with-ai/connect-to-mcp.md">MCP</a></p>                         |
| Share key documentation resources with AI assistants and agents. | <p>Retrieve real-time documentation content through a direct integration.<br>→ Use <a href="/explore-docs-with-ai/connect-to-mcp.md">MCP</a></p>     |

### Access the llms.txt file

Most AI-capable tools can use a `llms.txt` URL as a starting point for understanding your documentation. To access the Apryse `llms.txt`, follow these steps.

{% stepper %}
{% step %}
Navigate to <https://docs.apryse.com/llms.txt>.
{% endstep %}

{% step %}
Share the URL with an AI assistant or agent. For example:

{% code expandable="true" %}

```
Use this documentation as your reference: 
https://docs.apryse.com/llms.txt
```

{% endcode %}
{% endstep %}
{% endstepper %}

### Explore examples

From your AI assistant or coding agent, add the following prompts to get started.

{% prompt description="Learn about a feature" defaultExpanded="partial" %}

```markdown
What OCR options does the Apryse Server SDK offer? Use this documentation as your primary reference: https://docs.apryse.com/llms.txt.
```

{% endprompt %}

{% prompt description="Learn about a feature" defaultExpanded="partial" %}

```markdown
I would like to know what annotation capabilities are available in Apryse WebViewer. Find the documentation related to annotations using https://docs.apryse.com/llms.txt. Summarize the key concepts.
```

{% endprompt %}

{% prompt description="Compare implementation options" defaultExpanded="partial" %}

```markdown
What are the differences between the standard OCR module and the IRIS OCR engine in the Apryse Server SDK? Use this documentation as your primary reference: https://docs.apryse.com/llms.txt.
```

{% endprompt %}

{% prompt description="Understand a specific page" defaultExpanded="partial" %}

```markdown
What topics and documentation areas are covered in the https://docs.apryse.com/llms.txt documentation set?
```

{% endprompt %}

### Next steps

Now that you understand how `llms.txt` helps AI systems discover documentation, consider these related options:

* [Access docs as Markdown](/explore-docs-with-ai/access-docs-as-markdown.md)
* [Access llms-full.txt](/explore-docs-with-ai/access-llms-full.txt.md)
* [Connect to MCP](/explore-docs-with-ai/connect-to-mcp.md)
* [Chat with AI Assistant](/explore-docs-with-ai/chat-with-ai-assistant.md)


---

# 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.apryse.com/explore-docs-with-ai/access-llms.txt.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.