# Table annotation
Annotating data in a table-like structure can be time-consuming, more so when there are a lot of rows to annotate. To speed up this process significantly, you can use the table annotation feature.
#### Step 1: Click the table annotation mode
#### Step 2: Select the area with the table like data
#### Step 3: Adjust the capture area
#### Step 4a: Detect rows and columns
Pressing this option will try and automatically detect columns and rows for you. Use this option whenever possible as it will speed up your annotation effort.
#### Step 4b: Manual rows and columns definition
If the automatic rows and column detection doesn't work well or adjustments need to be made, you can easily process this manually.
If the capture area needs adjusting, this can easily be done by pressing the "Edit frame" button.
{% hint style="warning" %}
Pressing this button will undo all rows and column definitions which you added
{% endhint %}
If you have more than 1 composite for your document type, you can choose which composite the table should represent.
You can add columns to your table by pressing the "Add column" button.
{% hint style="info" %}
When you select a column you can split that column into 2 by pressing the "Add column" button.
{% endhint %}
This will add columns to your area. You can grab the vertical lines to adjust your columns to make sure they align with the colum in the document.
Clicking a column allows you to
* disable the column if the data in that column is irrelevant
* delete a column
* Set the entity that needs to be annotated for all the values in that column
In the example below all the columns have been configured and the first column has been disabled.
Once you are done with setting up your columns, you can start defining the rows.
Just like for columns, you can add different rows and adjust them to align with the row data of the document.
When you are done defining the rows, you can press the back button.
If you defined all the rows and columns, you can press the approve button to convert the table into composites for each row.
The result for the above would look like the following
