Datalab has released Marker 2, a full rewrite of its open source document conversion pipeline. Marker converts PDF, image, PPTX, DOCX, XLSX, HTML, and EPUB files into markdown, JSON, HTML, or chunks. The Datalab team rebuilt it around three components shipped over the preceding months: Surya OCR 2, a 20M-param fast layout model, and a rebuilt pdftext that is 3× faster than the previous one.
The main result comes from olmOCR-bench, a third-party benchmark from Allen AI. Marker 2’s balanced mode scores 76.0% overall and 83.5% on born-digital PDFs. It sustains 2.9 pages per second on a single B200 GPU. That is over 5× the throughput of MinerU’s pipeline backend, which scores 72.7% at 0.54 pages per second. Docling scores 50.3% at 2.1 pages per second on the same harness.
Marker 2 is out now – up to 5x faster and more accurate than mineru, docling, and liteparse with similar configs.Converts pdfs, images, docx to markdown. CPU + GPU compatible, up to 27 pages/s. pic.twitter.com/75nMipDaZ7— Vik Paruchuri (@VikParuchuri) July 21, 2026
What’s New in Marker 2
Marker 2 exposes three conversion paths instead of one:
