> For the complete documentation index, see [llms.txt](https://docs.letr.ai/en/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.letr.ai/en/overview/5-workspace-assets.md).

# #5 Workspace assets

Workspace assets consist of a terminology(TB), a translation memory (TM), and Voice cast.&#x20;

This is a useful feature that can be utilized for easy and quick localization work.

<figure><img src="/files/I5tJqAMHdNXOQ0Wlr6yS" alt=""><figcaption><p>Workspace asset</p></figcaption></figure>

## Create and manage

You can create and manage workspace assets by clicking the bookmark icon in the top right corner of the workspace.

## Glossary

Click the glossary tab in the workspace asset management to create and use terminology (TB) and speakers.

### Terminology (TB)

A collection of words defined in various language pairs for use in content localization.

### Speaker

A collection of words defined by the speaker for use in Subtitles for the Deaf (SDH).

## Translation Memory (TM)

You can create and utilize a translation memory (TM) by clicking the translation memory (TM) tab in the workspace asset management menu.

## Voice cast

You can use the provided voice templates for video dubbing by clicking the voice cast tab in the workspace assets menu.

{% content-ref url="/pages/M5SRq9UvdnzqPefreB62" %}
[Utilize workspace assets](/en/ut_wsas/1-permission-settings.md)
{% endcontent-ref %}


---

# 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.letr.ai/en/overview/5-workspace-assets.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.
