Handwritten documents can be read out and prefilled using machine learning algorithms. By further input, these documents can be edited again, which again benefits the accuracy of the algorithm.
Rental contracts are often very complex and have dozen of pages. However, for some tasks, like in a Due Diligence process, only some information is important.
Rental contracts need to be analyzed in bulk. Key information such as length of contract, monthly lease and square meters have to be extracted from each contract separately and manually.
Applying OCR to the images of the rental contract, the contract is readable for machines. Machine Learning algorithms analyze where this information is usually located and scans the text for patterns.
The relevant information is extracted and transmitted to a structured format and transferred to Spreadsheet templates for further analysis.
Electronic patient records can be evaluated using machine learning algorithms. This automatically provides doctors with suggestions for diagnoses and therapy options.
Diagnostic suggestions can be made by analyzing X-ray or MRI images using an algorithm.
Companies working with thousands of customers and suppliers need to categorize their documents so that requests can be handled in time.