marker

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  <strong>State of the Art models for Document Intelligence</strong>
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# Marker

Marker converts documents to markdown, JSON, chunks, and HTML quickly and accurately.

- Converts PDF, image, PPTX, DOCX, XLSX, HTML, EPUB files in all languages
- Formats tables, forms, equations, inline math, links, references, and code blocks
- Extracts and saves images
- Removes headers/footers/other artifacts
- Extensible with your own formatting and logic
- Optionally boost accuracy with LLMs (and your own prompt)
- Works on GPU, CPU, or MPS

## Try Datalab's Managed Platform

Our managed platform uses [Chandra](https://github.com/datalab-to/chandra), our latest open source model, and other models — higher accuracy than Marker, with opt-in zero data retention, SOC 2 Type 2, and custom BAAs.

If you have high volume workloads, we offer a batch processing service that has processed 1B+ pages in a day at peak — we manage the infrastructure so your workloads finish on time.

The Datalab API turns documents into verifiable knowledge your agents act on. Every result traces back to its page and position, and one API can parse, extract, fill and edit documents.

Get started with **about 5,000 free convert pages every month** (work email) — [sign up](https://www.datalab.to/?utm_source=gh-marker).

## Performance

<img src="data/images/olmocr_bench.png" width="800px"/>

We measure marker on [olmocr-bench](https://github.com/allenai/olmocr/tree/main/olmocr/bench), a third-party benchmark of 1,403 PDFs with tests covering math, tables, multi-column layout, scans, and hard edge cases.  Balanced mode scores **76.0%** overall — **83.5%** on born-digital PDFs — ahead of MinerU and docling and within range of much larger VLMs, while fast mode runs the layout + text-layer path far cheaper (and a no-OCR mode goes faster still).  Scores are the olmocr-bench overall (macro-average across the 8 categories).

<img src="data/images/olmocr_digital.