One of the key aspects of OCR-based invoice data extraction is to be able to automatically detect which words and phrases returned by OCR are meaningful. The solution should only return key invoice data in a standardised format. Learn how the Naive Bayes algorithm can help you achieve this goal.

There are many tools in the developer’s toolbox when it comes to automatic data extraction. A good example is TF-IDF algorithm (Term Frequency – Inverse Document Frequency) which helps the system understand the importance of keywords extracted using OCR. Here’s how TF-IDF can be used for invoice and receipt recognition.

Welcome to arbitrue’s blog, your source of news and comment on the latest trends in technologies for accountants and bookkeepers. Read on to learn how arbitrue helps you deal with one of the most mundane and time-consuming tasks: invoice and receipt processing.

show more posts