Document Understanding without Data Manager

we successfully managed to install the AI Center (on premises) including the Out of the Box packages. We didn’t install the Data Manager.
We got two use cases and even after reading the documentation, browsing through the web and watching different YouTube videos as well, there are still some questions.

1. Use Case: Extracting data of an Invoice with additional field
By using the Invoice package there are already pre trained fields available which is really useful. But how to add an additional field to this model?

2. Use Case: Extracting data of an semi-structured document
Multiple information (e.g. table data) need to be extracted from multiple PDF-files with 20 pages each. So I have to define the fields first. I am using the Out-of-the-box package ‘DocumentUnderstanding’. For that, you have to create a custom Python ML model. The problem is that I cannot find any tutorials or even how to start.

Are these things possible without using the Data Manager?

Thanks in advance!

Hello @simon.tang!

It seems that you have trouble getting an answer to your question in the first 24 hours.
Let us give you a few hints and helpful links.

First, make sure you browsed through our Forum FAQ Beginner’s Guide. It will teach you what should be included in your topic.

You can check out some of our resources directly, see below:

  1. Always search first. It is the best way to quickly find your answer. Check out the image icon for that.
    Clicking the options button will let you set more specific topic search filters, i.e. only the ones with a solution.

  2. Topic that contains most common solutions with example project files can be found here.

  3. Read our official documentation where you can find a lot of information and instructions about each of our products:

  4. Watch the videos on our official YouTube channel for more visual tutorials.

  5. Meet us and our users on our Community Slack and ask your question there.

Hopefully this will let you easily find the solution/information you need. Once you have it, we would be happy if you could share your findings here and mark it as a solution. This will help other users find it in the future.

Thank you for helping us build our UiPath Community!

Cheers from your friendly