> For the complete documentation index, see [llms.txt](https://help.tellius.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.tellius.com/tellius-6.1/vizpads-explore/actions-in-view-mode/exporting-vizpads/exporting-tables.md).

# Exporting tables

Tellius now offers a powerful to export tables (flat or detailed) exactly as they appear in your Vizpad—with all filters and metadata intact. This eliminates the need to rebuild context manually in Excel or CSV files.

{% hint style="danger" %}
Row, cell, and table comments are excluded to improve performance and reduce file size.
{% endhint %}

1. Select **Export**, and select your desired format: **CSV**, **Excel**, or **PowerPoint**.
2. If you select **CSV**, the following configuration appears:

* **Set Custom Limit**: Toggle on to define:

  * **Row Limit**: The number of rows to include.
  * **Column Limit**: The number of columns to export.

  <figure><img src="/files/EeNOzgRhFLLU033zEITj" alt="" width="351"><figcaption><p>Export as CSV</p></figcaption></figure>

3. If you select **Excel**, the following configuration appears:

* **Included Columns**: Choose specific columns to include or exclude in the downloaded Excel. Click on **Select All** to select all the columns. Search, sort, or filter to find the required columns.
* **Include Metadata:** Each column comes with an option to include its metadata (toggle on/off).&#x20;
* **Set Custom Limit**: Toggle on to define:
  * **Row Limit**: The number of rows to include.
  * **Column Limit**: The number of columns to export

<figure><img src="/files/ETco7RorOW4Y3o3xbtTb" alt="" width="339"><figcaption><p>Exporting as Excel</p></figcaption></figure>

{% hint style="warning" %}
The exported Excel file contains an additional sheet which lists metadata of included columns (if opted-in). Metadata includes **Display name, Description, Synonyms**, and **Aliases set**.
{% endhint %}

{% hint style="info" %}

* Use **Excel format** for sharing internally with business teams.
* Use **CSV** for loading into pipelines or systems that process raw data.
* Set **row/column limits** for faster downloads or sampling large datasets.
  {% endhint %}


---

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