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OCRia-1 is the best document parsing model for complex tables in PDFs: nested headers, merged cells, no cell borders, and extreme density wi…
OCRia-1 is the best document parsing model for complex tables in PDFs: nested headers, merged cells, no cell borders, and extreme density within a single page. It tops multiple parsing benchmarks on t
OCRia-1 is the best document parsing model for complex tables in PDFs: nested headers, merged cells, no cell borders, and extreme density within a single page. It tops multiple parsing benchmarks on table accuracy. 91.5% on ParseBench, 92.9% on olmOCR-bench, 84.1% on PulseBench-Tab, 83.2% on fr-bench-pdf2md. We published a nice visualization below showing how the attention map shifts as we predict subsequent table cells :) Blog: https://www.llamaindex.ai/blog/parse-ocria-1 Come check it out on LlamaParse! https://cloud.llamaindex.ai/ Media Today we’re releasing OCRia-1, a frontier VLM for document parsing that sets a new SOTA in accuracy, cost, and latency. It not only sets a new high score on ParseBench (87.4), but also leads in three 3rd-party benchmarks: olmOCR-bench* (83.5 overall, 92.9 on tables!), PulseBench-…
Source: Jerry Liu (X) | 2026-10-26