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super proud of our research team on this work. we beat models that are much larger and trained with order-of-magnitude more data. in the end…
super proud of our research team on this work. we beat models that are much larger and trained with order-of-magnitude more data. in the end, where we invested in the most is the quality of the traini
super proud of our research team on this work. we beat models that are much larger and trained with order-of-magnitude more data. in the end, where we invested in the most is the quality of the training signal: curating high quality and diverse set of real and synthetic data, and careful reward design. we were super close to naming the technical report "data is all you need" because in the end, that's all it matters. checkout our blog: https://www.llamaindex.ai/blog/parse-ocria-1 and technical report: https://www.llamaindex.ai/ocria/ocria-1-technical-report.pdf 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-…
Related
- Messy tables and scanned PDFs are where most parsing breaks. OCRia-1 doesn't. Huge work from our research team, and it's already powering al…
- llamaindex shipped OCRia-1, a little 4B model that reads ugly pdfs and turns tables, charts and formulas into clean data, beating parsers tw…
- This is a huge moment for LlamaIndex and an incredible milestone for our research team: introducing OCRia-1, our new document parsing model.…
Source: Jerry Liu (X) | 2026-10-22