Marker 2 在 olmOCR-bench 获 76.0,吞吐量 5 倍于 MinerU

Datalab’s Marker 2 vs MinerU, Docling and LiteParse: 76.0 on olmOCR-bench at 5× MinerU’s Throughput

精选理由

Datalab 出了 Marker 2,OCR 文档解析又快又准,比 MinerU 快 5 倍,比 Docling 更强,搞文档提取的别错过。

AI 摘要

Datalab 推出 Marker 2,采用三模式管道优化文档解析。该模型在 olmOCR-bench 基准上达到 76.0 分,在单块 B200 GPU 上实现每秒 2.9 页的吞吐量,是 MinerU 管道后端的 5 倍以上。在准确率和速度上,Marker 2 均超过 Docling。文章还对比了 MinerU、Docling 和 LiteParse 的性能差异,帮助用户选择合适方案。

原文 · marktechpost

Datalab’s Marker 2 vs MinerU, Docling and LiteParse: 76.0 on olmOCR-bench at 5× MinerU’s Throughput

Datalab rewrote Marker as a three-mode pipeline. Version 2 hits 76.0 on olmOCR-bench and sustains 2.9 pages per second on one B200 — over 5× MinerU's pipeline backend, while beating Docling on both accuracy and speed. Here's how it compares against MinerU, Docling and LiteParse, and which one fits your use case. The post Datalab’s Marker 2 vs MinerU, Docling and LiteParse: 76.0 on olmOCR-bench at 5× MinerU’s Throughput appeared first on MarkTechPost .