> For the complete documentation index, see [llms.txt](https://help.vectary.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.vectary.com/api/model-api/api-reference/settext3d.md).

# setText3d

#### setText3d

Updates the settings of a 3D Text object.

#### Signature

```typescript
setText3d(
  name: string, 
  settings: Partial<Text3DNodeSettings>
): Promise<Text3DNodeSettings>
```

#### Parameters

| Name       | Type                          | Required | Description                |
| ---------- | ----------------------------- | -------- | -------------------------- |
| `name`     | `string`                      | Yes      | Name of the 3D Text object |
| `settings` | `Partial<Text3DNodeSettings>` | Yes      | Settings to update         |

#### Returns

`Promise<Text3DNodeSettings>` — The updated text settings.

#### Usage

```javascript
// Change text content only
await api.setText3d("3D Text", {
  text: "Hello World"
});

// Change font size only
await api.setText3d("3D Text", {
  fontSize: 80
});

// Change multiple properties
const updated = await api.setText3d("3D Text", {
  text: "Vectary",
  fontSize: 50,
  textAlign: "CENTER",
  textHeight: "UPPERCASE"
});
console.log(updated); // Full updated settings
```

#### Notes

* Accepts `Partial<>` — only specify properties you want to change
* Unspecified properties are preserved
* Returns the complete updated settings object
* Uses Google Fonts API — any `fontFamily` and `weight` combination from Google Fonts is supported
* If the provided `weight` is not found, the first available weight will be used
* The object must be a 3D Text created in Studio


---

# 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://help.vectary.com/api/model-api/api-reference/settext3d.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.