> For the complete documentation index, see [llms.txt](https://docs.walnutai.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.walnutai.ai/core-features/intelligence-hub/generate-user-stories/media-audio-video-to-requirement.md).

# Media (Audio/Video to Requirement)

**When to Use the Media Feature**

The Media feature is most effective when you have raw, unstructured information captured in audio or video format. Instead of manually transcribing recordings and drafting requirements, this feature helps bridge the gap between conversations and a structured project backlog.

* **Supported Video Formats:** MP4, MOV, MKV
* **Supported Audio Formats:** MP3, WAV, M4A
* **Maximum File Size:** 100 MB

<figure><img src="/files/7pw9WMDjqJz2XYuTK98S" alt=""><figcaption></figcaption></figure>

* You can initiate the process by uploading a media file using a simple drag-and-drop interface or by browsing your local directory.

<figure><img src="/files/8SibREf4TeTGhhZ9LjP5" alt=""><figcaption></figcaption></figure>

* **Select Mode:** Choose the appropriate analysis mode for the AI agent.

  * **Interactive Mode (Coming Soon):** \
    Each stage from feature analysis to execution is reviewed and controlled step by step, with the ability to make changes along the way.
  * **Auto-Pilot Mode:**\
    From feature understanding to execution, the entire workflow is completed automatically, with only a single review step before execution.

  <figure><img src="/files/h4WHZ9JcFp8l5Ej33puk" alt=""><figcaption></figcaption></figure>
* Once the file and mode are selected, the system begins a deep analysis of the content. It automatically interprets the dialogue and context to generate Epics, Features, and User Stories.

<figure><img src="/files/cvcVOFWnIFQxuThVWSs6" alt=""><figcaption></figcaption></figure>

* A document preview is provided immediately after the analysis, allowing you to review the AI-generated requirements before finalizing them.

{% hint style="info" %}
Select a generated user story and click **Generate Test Case** to automatically create related test cases.
{% endhint %}

* Click Save to store the generated Epics, Features, User Stories, and Test Cases.

<figure><img src="/files/41e0oZdSI5BnObi9DK5L" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
Result: Saved Epics, features and User Stories reflect in Action Items, while Test Cases appear in the Test Cases module.
{% 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://docs.walnutai.ai/core-features/intelligence-hub/generate-user-stories/media-audio-video-to-requirement.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.