In this article, I would like to show you how easy it is to create a Power App to perform text recognition, which is a readily available AI Builder prebuilt productivity model in Power Platform.
What is Text Recognition model?
As per Microsoft docs,
The text recognition prebuilt model extracts words from documents and images into machine-readable character streams. It uses state-of-the-art optical character recognition (OCR) to detect printed and handwritten text in images.
In short, the prebuilt text recognition model uses optical character recognition (OCR) to detect text in documents and images.
Supported language, format, and size
The following items should be taken into consideration when using the Text Recognition model.
Language
English
Format
- JPG
- PNG
- BMP
Size
20 MB maximum
Model output
The text recognition model outputs the following information from an input document or image:
Results
A list of lines extracted from the input text.
Text
Strings containing the line of text detected
Bounding Box
Four values representing the bounding box, described by using the top and left positions along with its width and height.
Sample Power App using Text Recognition Model
We will build a simple one screen Power App where a user will be allowed to select a document or an image. As soon as the user makes this selection, the Power App will display the text recognition output in a gallery as shown below.
Text Recognition Power App
Download the sample Power App from Modern Work Store and import the attached Power App into your environment.
Conclusion
In this article, we saw how to use text recognition component, which is a readily available AI Builder prebuilt productivity model in Power Platform.
While the possibilities are endless, I hope this article encouraged you to start exploring AI builder capabilities. This solution can be easily extended using Power Platform and other Office 365 services, and I would like to hear your thoughts on this.
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Stay well and happy Power Apping...!