# Image-to-Database Reconstruction

Instead of markup that keeps a table's layout, the output is an executable SQLite database written straight from one document image. PIX2DB fine-tunes Qwen3-VL-2B with LoRA on 36,589 pairs with exact gold databases and adds a deterministic verify-and-repair layer, reaching 0.86 table exact match and 0.99 foreign-key recall on rendered tables from unseen databases, against 0.75/0.75 for the same-family 8B model prompted for SQL and 0.47/0.00 for an 8B HTML-to-SQLite pipeline. On TabRecSet, unseen in training, it is the best system that writes a database directly (0.52) but trails the 8B HTML pipeline (0.58), mostly in reading text from photographs.

Instead of markup that keeps a table's layout, the output is an executable SQLite database written straight from one document image. PIX2DB fine-tunes Qwen3-VL-2B with LoRA on 36,589 pairs with exact gold databases and adds a deterministic verify-and-repair layer, reaching 0.86 table exact match and 0.99 foreign-key recall on rendered tables from unseen databases, against 0.75/0.75 for the same-family 8B model prompted for SQL and 0.47/0.00 for an 8B HTML-to-SQLite pipeline. On TabRecSet, unseen in training, it is the best system that writes a database directly (0.52) but trails the 8B HTML pipeline (0.58), mostly in reading text from photographs.