# Loom

**What is Loom?**

Loom is a video messaging tool that enables users to create, share, and manage videos quickly and efficiently. Integrating Loom with StackAI allows you to automate video-related tasks, such as transcribing videos, extracting insights, or managing video content, directly within your workflows.

***

**Example of Usage**

Suppose you want to automatically transcribe a Loom video and use the transcript in a report. You can set up a workflow where the Loom node retrieves the video transcript, which is then processed by an LLM node and formatted for output.

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**Available Actions**

#### 1. Loom Transcript

**Description:**\
Retrieve the transcript of a Loom video for further processing or analysis.

**Inputs:**

* **video\_url** (Required): The URL of the Loom video you want to transcribe.\
  \&#xNAN;*Example:* `"https://www.loom.com/share/your-video-id"`

**Configurations:**

* No additional configurations are required for this action.

**Outputs:**

* **transcript** (Always returned): The full text transcript of the Loom video.\
  \&#xNAN;*Example:*

  ```
  "Welcome to our product demo. In this video, we will walk through the main features..."
  ```

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**How to Use in a Workflow:**

1. Add the Loom node to your StackAI workflow.
2. Select the "Loom Transcript" action.
3. Enter the Loom video URL as the required input.
4. Connect the output to downstream nodes (e.g., LLM, Template, Output) for further processing.

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**Summary Table**

| Action          | Required Inputs       | Configurations | Outputs    |
| --------------- | --------------------- | -------------- | ---------- |
| Loom Transcript | video\_url (Required) | None           | transcript |


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# Agent Instructions: 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:

```
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```

The question should be specific, self-contained, and written in natural language.
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.
