Document scanning is a common practice in many organizations and businesses. Although scanned documents may be sufficient for certain tasks, manual extraction is required in most cases.
For example, financial departments often review a certain number of receipts and invoices issued by employees and partners in physical or photographic form.

The automation of these tasks can increase efficiency across the organization and disconnect employees from repetitive and unproductive data extraction processes.
Power Automate Desktop enables users to read, extract and manage data within various files using the algorithm (OCR). The platform supports Microsoft MODI and Google Tesseract OCR engines while providing a variety of related functions.
Using OCR actions, you can deal with the most challenging workflow that would require human intervention. OCR actions initiate OCR engines to perform OCR-related operations.
PDF Automation in Power Automate Desktop




To perform any OCR operation, you must start the OCR engine. OCR engines are software tools that are used to convert typed or handwritten content into machine-readable and well-organized formats.
Power Automate Desktop supports Microsoft MODI and Google Tesseract engines with engine Create MODI OCR and Create Tesseract OCR engine actions. Both of these actions have the same structure and function.
This action is used to create a Tesseract OCR engine. The Create Tesseract OCR engine action provides the Use other language option to use languages. To use another language, you have to provide the language's abbreviation and the respective data file's path.


This action is used to create a MODI OCR engine. The Create MODI OCR engine action does not provide the Use other language option to use languages.
From the Actions panel, drag and drop the Create MODI OCR engine actions into the workspace. Select language as English. Add image multiplier values. The output will be produced in the OCREngine2 variable. Click on Save.
This action is used to extract text from a given source using the given OCR engine.







I am Sharvari Raut, having sound knowledge and experience in technical writing. Currently, pursuing my B.Tech in Computer Science and Engineering.