olmOCR-bench
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- LlamaIndex launches 4B document parsing model OCRia-1
LlamaIndex introduced OCRia-1, a 4-billion-parameter vision-language model designed to reconstruct complex document tables, charts, formatting and mathematical notation. The developer reports that it scored 87.4 on ParseBench and led table evaluations on olmOCR-bench, PulseBench-Tab and fr-bench-pdf2md, and the model is now integrated into LlamaParse without a pricing change.
LlamaIndex Blog · 🔥 0 - Ai2 releases olmOCR v0.4.0, lifting benchmark score ~4 points with RL
The Allen Institute for AI released olmOCR v0.4.0 on October 21, 2025, a new model trained with synthetic data and reinforcement learning that raises the project's olmOCR-Bench score by roughly 4 points. The toolkit converts PDF, PNG and JPEG documents into clean Markdown, handling equations, tables, handwriting, multi-column layouts and insets while stripping headers and footers and preserving natural reading order. Ai2 says it runs on a 7B vision-language model requiring a GPU, at under $200 per million pages, and reports an olmOCR-Bench score of 82.4±1.1 for v0.4.0 — just below Chandra OCR 0.1.0 (83.1) on its own leaderboard.
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