> For the complete documentation index, see [llms.txt](https://helpcenter.channable.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://helpcenter.channable.com/import-data/import-how-to/import-your-product-data/import-via-a-data-file/requirements-for-import-files/quoting.md).

# Quoting

Quoting settings specify how your text fields are encapsulated. It's an important part of correctly handling data that includes delimiters.

In this article, we explain your quoting options when importing product data, and why quoting is important.

***

### Quoting options in Channable

When importing product data from a data file, you'll be prompted to select your **Quoting** type.

* **Automatically detect:** Channable will attempt to automatically identify your quoting method.
* **Yes:** Select this if the text fields in your data file are enclosed in quotation marks (e.g. "product name", "description"). This tells Channable to treat everything within the quotes as a single field.
* **No:** Select this if your data fields aren't enclosed in quotation marks.

### Why selecting the right quoting is important

If quoting is determined incorrectly, it can affect how Channable interprets your data.

Example:

* Delimiter chosen: comma (`,`)
* Description without quotes:

  ```
  100% cotton, breathable, and stylish shirt
  ```

  The comma in the description may be misinterpreted as a field separator, causing the row to be parsed incorrectly.
* Description with quotes:

  ```
  "100% cotton, breathable, and stylish shirt"
  ```

  The entire quoted text will be treated as a single field, preventing commas inside the text from splitting the row.

{% hint style="info" %}
If your text fields can contain delimiter characters (commas, semicolons, tabs, etc.), ensure quoting is enabled or your file uses a quoting convention so those characters are not treated as field separators.
{% 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://helpcenter.channable.com/import-data/import-how-to/import-your-product-data/import-via-a-data-file/requirements-for-import-files/quoting.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.