# Parsy

Aleph Alpha distilled its self-checking agentic parsing harness into a single vision-language model, Parsy, which handles each page in one pass. The harness reached 86.0 on ParseBench by running several models and up to three passes per page, too slow and costly for millions of pages a month. Parsy was trained on harness-labeled public documents whose labels were cleaned with an independent layout model, an ink-coverage check and a second OCR model; it scores 87.9 on ParseBench, parses hundreds of thousands of pages per day on one H100, and costs one to two orders of magnitude less per page.

Aleph Alpha distilled its self-checking agentic parsing harness into a single vision-language model, Parsy, which handles each page in one pass. The harness reached 86.0 on ParseBench by running several models and up to three passes per page, too slow and costly for millions of pages a month. Parsy was trained on harness-labeled public documents whose labels were cleaned with an independent layout model, an ink-coverage check and a second OCR model; it scores 87.9 on ParseBench, parses hundreds of thousands of pages per day on one H100, and costs one to two orders of magnitude less per page.