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Datalab Marker v2 vs MinerU, Docling, and Liteparse: Benchmark Breakdown

76.0 on olmOCR-bench. Datalab's Marker v2 just hit 5× faster than MinerU while beating Docling on accuracy.

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Why it matters

Document parsing pipelines are becoming a critical infrastructure layer for enterprise AI workflows. Marker v2's performance gains matter because they directly impact the cost and speed of RAG systems and document-heavy LLM applications at scale.

The key facts

6 to know
  1. Marker v2 scores 76.0 on olmOCR-bench

  2. Sustains 2.9 pages per second on single B200

  3. 5× faster than MinerU's pipeline backend

  4. Beats Docling on both accuracy and speed

  5. Three-mode pipeline architecture rewrite

  6. Compared against: MinerU, Docling, LiteParse

Go to the source

MarkTechPostmarktechpost.com

Publisher excerpt: 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…
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