How to create a Label Mapping
In this article we will show how to create a label mapping
Ilia Zelenkin avatar
Written by Ilia Zelenkin
Updated over a week ago

Label mapping is a feature in Bitskout that allows you to map output from an A.I. model to a fields like Statuses or Dropdowns.

To configure a Label Mapping:

  1. Go to Outputs and choose Label Mapping. Press Add to add new Label Mapping:

  2. Once you added the name and some description, choose the A.I. model from the list:

    We will use the model with Invoice Items where we created a classification for invoice items.

  3. Once the model is chosen, you will need to choose the service and the board/projects where you want the data to appear. In our examples we will use a board in

  4. And the board will be our board with invoices:

  5. The next step is to configure the mapping. You will need to open the dropdown and reveal the setup:

    You will be configuring the mapping for a classification label. If you are using a different model (like data extraction), there might be multiple fields available:

    In our examples, there is only one field that we need to set up.

  6. Click on the action, and choose "Contains".

  7. Then click on the value, and in the dialog box type the label or any value that you expect here.

  8. Then click on the column and choose the column with your desired statuses or the custom field with your values.

  9. Then click on the label, and choose the label.

    Press Add button.

  10. So now the label "hardware" will be mapped to the status field "Type" and the status "Hardware". Now map other fields.

  11. Once you are done, press Apply.

  12. Now the Label Mapping is done and you can add it to your workflow. Go to your workflow with your model. And press + near Custom Output.

  13. In the block choose the Label Mapping dropdown and select your Label Mapping.

  14. Now once the workflow is executed, the label mapping will be triggered as well. Press Save in the output block.

  15. Now press Apply.

Now the workflow is ready to be used.

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