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# Transform Message Component

> For the full documentation index, see: https://docs.mulesoft.com/llms.txt

The Transform (or Transform Message) component converts input data to a new output structure or
format. You can use the component’s visual mapper to build your transformation implicitly by
dragging and dropping elements of the incoming data structure, or you can explicitly write a
transformation script in DataWeave expression language.

- Graphical View (Drag-and-Drop editor): Two tree views show the expected metadata structures of the
  input and output. Mappings between these two trees are represented by lines that connect input to
  output fields. The lines can be created by dragging and dropping an element from the input to
  another element to the output.

  ![transform message component concept design center b3dc0](/mulesoft/current/en-us/mule-runtime/4.3/_images/transform-message-component-concept-design-center-b3dc0.png)

  Figure 1. Drag-and-Drop Editor in the Transform Component

- Script View: The visual mapping can be represented as DataWeave code. Advanced transformations
  such as aggregation, normalization, grouping, joining, partitioning, pivoting and filtering can be
  coded here.

  ![transform message component concept design center d3719](/mulesoft/current/en-us/mule-runtime/4.3/_images/transform-message-component-concept-design-center-d3719.png)

  Figure 2. DataWeave Script in the Transform Component

Note that changes in one view are reflected in real time with the other.

## Preview

A preview of your output is built on sample data (such as a JSON snippet) and is updated in real
time as you make changes to your transformation.

![using dataweave in studio b504a](/mulesoft/current/en-us/mule-runtime/4.3/_images/using-dataweave-in-studio-b504a.png)

Figure 3. Transform Component in Anypoint Studio

## Metadata

The Transform component accepts input and output metadata for the message payload, a variable or an
attribute. You can provide format-specific resources and settings for
[supported mime types (formats)](https://docs.mulesoft.com/dataweave/2.3/dataweave-formats):

- CSV example or RAML definition

- Copybook file or schema

- Excel column name and type definitions (including String, Number, Boolean, Date, and DateTime) for
  one more sheets

- Fixed Width column name, type (String, Integer, Decimal, Boolean, Date, and DateTime), width, and
  format settings

- Flat File schema

- JSON example or schema

- Object class or RAML definition

- Simple Type (String, Number, Integer, Boolean, Date, or DateTime)

- XML example or schema

## See Also

[Workflow: Create a Mapping](https://docs.mulesoft.com/mule-runtime/4.3/transform-workflow-create-mapping-ui-studio)

[Tips: Transform Message UI](https://docs.mulesoft.com/mule-runtime/4.3/transform-tips-transform-message-ui-studio)

[DataWeave Language](https://docs.mulesoft.com/mule-runtime/4.3/dataweave)