When Does It Make Sense to Combine Multiple Documents Into One Table?

Turning one document into a table and combining many documents into one dataset are not the same task. The first is extraction. The second is workflow design.

When a single-table approach works best

• Many documents from the same period need to be reviewed together.
• Filtering and comparison happen at row level, not document level.
• A report depends on one shared dataset.
• Documents from multiple sources still follow a similar structure.

When separate tables are safer

If the documents differ too much in structure, or if the first priority is reviewing each file individually, separate outputs may still be the better first step.

A better starting point

When the goal is one combined dataset, Merge Multiple Documents into One Table is designed for that workflow. If you want to compare alternatives first, the preset library gives a broader view.

Final thought

Teams usually feel the value of a combined table the moment comparison and reporting move faster. The key is deciding early whether the work is document-by-document or dataset-first.