When processing a document type that comes in a high variety of layouts, what is the recommended data extraction methodology?
When processing a document type that comes in a high variety of layouts, what is the recommended data extraction methodology?
When dealing with a document type that comes in a high variety of layouts, hybrid data extraction is the most recommended methodology. This approach combines the strengths of both model-based and rule-based extractions, leveraging machine learning to handle the variability in layouts while using rules to ensure precision and accuracy where applicable. This combination provides a balanced solution that can adapt to different layouts effectively.
Hybrid approach
A hybrid approach would be more approriate since the layouts can have a high number of varieties. https://www.uipath.com/blog/ai/improved-document-processing
I think it is A, one document types varies greatly. Here is the uipath definition. The ML approach is strongly recommended for structured or semi-structured documents in which layouts of different document providers vary greatly
At first, I thought it was A, but I put the question on ChatGPT and it gave me a detailed explanation of why it is B.