However, as we saw in the previous example, it is still quite impressive. Having expectations for 100% accuracy isn’t realistic at this point. When it comes to Artificial Intelligence, it continues to evolve. When we run our Desktop flow in debug mode, we will find the following: Let’s see if we can extract the text from this image. I downloaded an image from the website of a vehicle that contains some text. When the action runs, it will create a variable that we can rename to be BroncoSport. We will also change our OCR source to be Image on disk and provide a static path to our Image file path. We will set our OCR engine variable to %OCREngine% that was created in our previous step.

We will now drag the Extract text with OCR action onto our Desktop flow.

Note: A variable will be produced called OCREngine that we will reference in our next action. We will select English as our language and then leave the Image multipliers.

We need to create a new Desktop flow and then add the Create Tesseract OCR engine action onto the Desktop flow.Let’s take a closer look at this feature:

In addition, Microsoft has recently included a new action in Power Automate Desktop called Extract Text with OCR that allows us to extract text from a web page or image. This is a good option for people who do not have access to Power Automate Desktop but need those capabilities. Microsoft provides OCR capabilities inside of AI Builder. This capability allows you to ingest a binary object (like an image or document) and then extract the related text from that image. One discipline of AI is the use of Optical Character Recognition (OCR). Automated solutions become more intelligent using Artificial Intelligence (AI).

As the Robotics Process Automation market matures, organizations have expectations that their automated solutions become more intelligent.

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