How to build an Output Window in Auto-Pilot?

An output window is a user interface feature that is used to display the extracted data from a document. This can be used to visualize the labels that have been highlighted during the data extraction process. The output window is typically presented as an app or a separate window within the Auto-Pilot platform. It allows the user to see the extracted data in a clear and organized manner, making it easier to review and verify the accuracy of the extracted information. The output window can be customized to display specific labels or groups of labels, depending on the needs of the user.

Default mode

The Output Window is located on the right and displays all extracted labels in a list format by default like in the picture.

Step 1: Go Navigate to Output Window settings

Project settings > Export > Output template

Step 2: Select the positions on the grid to display the labels

To select a range of boxes, click and hold on the first box, then drag to the last box and release. If you want to group data, please read this article.

Once your done, wait until the top right box displays "saved"

Step 3: Check the result

To view the results, navigate back to the inbox and click on a document.

Find out how to cross-check and validate the raw extracted data in our type-checking module

Type checking involves parsing raw extracted data into the correct format to improve accuracy and reliability, and ensure data is in a consistent and standardized format for easy integration with other systems and processes.

For more information read this article.

Once the data has been extracted from a document, it is important to type check the raw extracted data to ensure that it is accurate and in the correct format. This process involves parsing the data into the appropriate format, such as parsing dates into a standardized date format or parsing addresses into a specific format. Type checking the extracted data is important because it helps to improve the accuracy and reliability of the data. It also ensures that the data can be easily integrated with other systems and processes, as it ensures that the data is in a consistent and standardized format. To type check the extracted data, it is necessary to use specialized software or tools that are designed to parse and format the data. By carefully type checking the extracted data, businesses can improve the quality and value of their data, as well as streamline their processes and improve efficiency.