LlamaIndex 发布 ParseBench-2 与 OCRia-1.5 文档解析模型
LlamaIndex 这次一次发了两样东西：ParseBench-2 基准给 330 多种解析错误标了严重度，评分终于和人 judgment 对得上；OCRia-1.5 模型专攻表格、表单、图表这些最难啃的版式。做 RAG 文档入库或选 OCR 方案的团队可以直接拿来当选型标准。
LlamaIndex 推出文档解析基准 ParseBench-2，包含 4.3k+ 文档页面，比上一版翻倍，并新增表单（forms）维度。
基准对 330+ 错误类型逐一标注严重度分数，让指标与人工判断高度对齐。相比 OmniDocBench 的确定性指标和 ParseArena 的 LLM-as-a-judge 方法，ParseBench-2 同时兼顾细粒度错误定位和稳定的评分。
同期发布的 OCRia-1.5 是驱动 LlamaParse 各解析模式的模型家族，在复杂表格、表单、图表、格式还原和复杂版式 bounding box 标注上达到当前最优。
其前代 ParseBench 已有 5 万+ 月下载量、150+ 个 OCR 方案被测评，NVIDIA、Cohere、Perplexity 等公司采用。
rain or snow, we keep shipping Jerry Liu @jerryjliu0 Today we’re introducing ParseBench-2 - our most ambitious document parsing benchmark to date. It is the only benchmark that provides both extreme granularity into every single type of production parsing error, while also making sure that metric scores are highly aligned with human judgment. We do this by painstakingly assigning severity scores to 330+ error types, and tuning each metric to match the severity scores. Existing benchmarks either use brittle deterministic metrics (e.g. OmniDocBench) or LLM-as-a-judge (ParseArena), which can help recognize equivalent representations but are coarse/stochastic/subject to bias by the prompt+model. ParseBench-2 also contains: ✅ 4.3k+ document pages (double from ParseBench-1). ✅ An extra dimension (forms) ✅ Much better ground-truth across all dimensions compared to ParseBench-1. This is the next evolution of ParseBench, our hugely popular benchmark that has 50k+ monthly downloads, over 150+ OCR solutions benchmarked, and has been adopted by companies like NVIDIA, Cohere, Aleph Alpha, Perplexity, and others. Alongside ParseBench-2, we are also releasing OCRia-1.5 - a new family of document parsing models that powers all our modes in LlamaParse. They represent a massive step up in capabilities from our latest release, and are state of the art in parsing complex tables, forms, charts, formatting, and assigning bounding boxes to complex layouts. Come check out our blog post, technical report, and website. Blog: llamaindex.ai/blog/introduci… Technical Report: llamaindex.ai/files/parseben… Website: parsebench.ai If you’re interested in trying out our OCRia-1.5 capabilities, come sign up for LlamaParse: cloud.llamaindex.ai
本条情报归属 AITOP「产品」核心栏目，重点聚焦北美前沿实验室与硅谷科技巨头。在跨区域产业观察坐标中，该动态直接关联「AI 开发者工具链、Coding Agent 与工程化实践」「中美大模型技术代差与商业化对照」研究主线，反映出当前技术演进与商业落地的最新风向。涉及核心实体与技术议题包括：LlamaParse、ParseBench、OCRia、OCR，读者可通过下方标签进入对应专题页查阅历史脉络与关联对比。
信源核验说明：本文原始线索采编自「Jerry Liu」（@jerryjliu0），经 AITOP 多维评分管线结构化提炼。
