Wednesday, August 5, 2026

Can an LLM Read a Pivot Table? Sparrow + Ministral 14B

Pivot tables are a genuinely hard case for LLM-based extraction — row/column headers, merged cells, and aggregated values instead of a flat list. In this video I test whether Ministral 14B, running in Sparrow's Standard tier, can handle one.

The document: an insurance pivot table. The query: a generic "*", no predefined schema. Sparrow's UI (sparrow.katanaml.io/process) sends it to Ministral 14B running locally via MLX-VLM, which has to infer the structure itself and return clean, structured JSON.

No schema tuning, no hints file — just upload and extract.

Built with Sparrow — open-source document intelligence platform.