Testing Qwen3.8-27B on a Hard Pivot Table (No Column-Shift Errors)

Testing Qwen3.8-27B on a hard document extraction case: an insurance pivot table with row/column headers and aggregated values instead of a flat list. Same table from two prior tests, same generic "*" query, no schema. Result: no column-shift errors, every value landed in its correct column.

 

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.