Datalab Marker v2 Benchmarked Against MinerU, Docling, and Liteparse for Document Parsing

Datalab has published a benchmark comparison of Marker v2 against three competing document parsing tools — MinerU, Docling, and Liteparse — across a range of document types and complexity levels. Document parsing quality is a critical upstream dependency for RAG pipelines, knowledge extraction systems, and any LLM application that ingests PDFs or structured documents, making this comparison directly actionable for developers. The benchmark breakdown covers accuracy, layout preservation, and handling of complex elements like tables and figures, which are common failure modes for parser pipelines. Marker v2's results position it within the competitive landscape of open and commercial parsing tools, giving teams concrete data to guide toolchain selection. Developers building document-heavy AI applications should use this benchmark to pressure-test their current parser choice against realistic workloads.