Table Only Extraction Mode on Large Financial Statement

In this video I test Sparrow table only extraction mode on a large financial statement table. I use a 6 month property management sample data, with 51 rows and 7 columns, including section headers, blank spacer rows and multiple levels of subtotals.

Table only mode uses dots.ocr for table structure detection, combined with Sparrow custom processing logic on top, to produce a JSON array, with column headers mapped as keys. Section headers like INCOME and OPERATING EXPENSES are extracted too, with empty values, this way row order and table structure stay intact.

I go through the extraction result and compare it against the source table.