> ## Documentation Index
> Fetch the complete documentation index at: https://docs.reelevant.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Transformations Usage

> How to use transformations in workflows and content editor

## Overview

In both case when doing transformations in the workflow or content editor, you'll have a code-like editor and our "variable" picker next to it. The following documentation on how to use it works for both since they use the same system under the hood.

## Syntax

Transformations are written in a specific "language" that looks like code, we tried to make it looks like the Microsoft Excel system with a little bit more information, note that whever you see `<variable>` going forward means any data coming from the variable picker (that you can introduce by clicking on a field). Here is example:

```text theme={"theme":{"light":"github-light","dark":"github-dark"}}
parse-number(<variable>)
```

Here you can see the simple `parse-number` function that just take the variable you want and transform it into a number. But some other transformations can take additional informations:

```text theme={"theme":{"light":"github-light","dark":"github-dark"}}
divide(<variable 1>, <variable 2>)
```

In the case above, we use two different variable to compute their division result. One more different kind of transformer:

```text theme={"theme":{"light":"github-light","dark":"github-dark"}}
truncate(<variable>, start=0, end=10, elipsis=false)
```

The `truncate` transformation (which as its name imply, truncate the input to a specific size) take a variable, a start of truncatation, a maximum character and whenever or not to add the elipsis (...) at the end.

When the parameters are not variable, you can also define them using their name:

```text theme={"theme":{"light":"github-light","dark":"github-dark"}}
truncate(<variable>, 0, 10, false)
```

As you can see in the above example, it's possible to not define the option name (they aren't in the format name="value") however all the documentation and the platform will translate this back to named option for clarity sake.

<Info>
  **Important to note**

  You can "chain" transformations, for example if you want to parse as a number the result of a truncate transformation.
</Info>