Use Case

Analysis of handwritten documents

Finances & Insurances

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.



In many industries, documents are filled out in handwriting by own employees or partner companies. These handwritten documents often have to be typed in order to process them further.



With Machine Learning algorithms, patterns in handwritten documents can be analyzed. The more documents are available and the more uniformly the documents are filled out, the better the algorithm recognizes the contents of the handwritten document.



The pre-filled documents are transferred to an interface and can be edited again by employees. The algorithm learns new patterns and can apply them to new cases.