# User Action Recording

During recording, user interface elements are highlighted with a red border, as shown in the screenshot below, ensuring the correct selection of the corresponding buttons, fields, and menus.

<figure><img src="https://3199517203-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F4mXXYsqBuhj7RyX6Y4Yw%2Fuploads%2Fgit-blob-b130913b4e516cb4541557a5da823b55d7cbe07d%2F2024-04-11_18-25-27.png?alt=media" alt=""><figcaption></figcaption></figure>

Business process blocks in the diagram created using the "Recording" tool differ from blocks added from the palette. The difference is the presence of the symbol ![](https://3199517203-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F4mXXYsqBuhj7RyX6Y4Yw%2Fuploads%2Fgit-blob-2f31b16524736362c5af5778f36e36b0fdc74a18%2Fimage%20\(93\).png?alt=media), hovering over which displays informative screenshots taken by the program at the moment of control element selection. A small cross indicates the point where the user clicked during recording.

<figure><img src="https://3199517203-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F4mXXYsqBuhj7RyX6Y4Yw%2Fuploads%2Fgit-blob-21720967c6477e900765205852a9b56100185892%2Fimage%20(95).png?alt=media" alt=""><figcaption></figcaption></figure>

The Get OCR Text function retrieves text from the screen using image recognition.

<figure><img src="https://3199517203-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F4mXXYsqBuhj7RyX6Y4Yw%2Fuploads%2Fgit-blob-6945c4e2ed83010379c6887a9c89031b0b15f3df%2F%D0%A0%D0%B0%D1%81%D0%BF%D0%BE%D0%B7%D0%BD%D0%B0%D1%82%D1%8C%20%D1%82%D0%B5%D0%BA%D1%81%D1%82%20OCR.png?alt=media" alt=""><figcaption></figcaption></figure>

During recording, highlight the area of the screen where text needs to be searched, that is, select the area where recognition will take place. Limit the area with a red border that appears by right-clicking. Text recognition is performed using built-in and external recognition modules:

* Tesseract OCR;
* Yandex Vision;
* Microsoft OCR;
* OCR Space;
* ABBYY Cloud OCR;
* ABBYY FineReader.

Select the desired recognition module. You can immediately see the recognition results in the window on the left. If the recognition results are correct, click "Save." If the recognition results are unsatisfactory, select another recognition module from the list and click Refresh or change the available recognition settings.

**The following OCRs are available for connection:**

* Tesseract OCR;
* ABBYY OCR;
* Microsoft OCR;
* Yandex Vision.
