Marker converts PDFs, EPUBs, and images into clean markdown, 10x faster than comparable open tools.
Marker is an open-source document-to-markdown converter built for speed and accuracy. It handles books, scientific papers, and reports with complex layouts, converting them to markdown with preserved headings, tables, equations, and images. It runs on GPU or CPU, is optimized for batch processing, and is a popular choice for preparing training and RAG data where markdown is the target format. Marker builds on the same model family as Surya for layout and OCR.
Marker’s speed advantage comes from a lean pipeline optimized around the layout and OCR models it shares with Surya. Teams preparing LLM training corpora use it to convert millions of pages into markdown cheaply, then filter and chunk the results downstream.
Marker’s output quality matters most with technical content: math, tables, and code blocks survive conversion intact. This makes it the converter of choice for building knowledge bases from scientific and technical corpora.
Marker is free and open source. Hosted conversion via Datalab is available as a paid service for teams.
ML engineers preparing document datasets and RAG corpora who need fast, high-fidelity markdown at scale.
Yes, the open-source version is completely free.
Marker runs as a Python library and CLI; Datalab offers hosted API access for managed processing.
Where LlamaParse and Reducto are hosted platforms, Marker gives comparable conversion speed and quality in a free local tool.
Yes, figures and images are preserved and can be exported alongside the markdown text.
Table structures are recognized and rendered as markdown tables, which keeps data usable for retrieval and analysis.
Yes, long documents including books convert efficiently with batch processing.
OCR inherits Surya’s broad multilingual coverage for scanned pages.
Yes, equations, tables, and figures in research papers convert cleanly.
Yes, the CLI and Python API fit batch and pipeline automation.
Yes, batch processing and GPU acceleration make it practical to convert millions of pages at low cost.
Upstage is a Korean AI company famous for its Solar language models and enterprise document AI that turns messy business paperwork into…
Deepnote is a collaborative, AI-assisted data notebook platform where teams analyze data together in Python, SQL and no-code blocks. OverviewDeepnote brings Jupyter-style…
DataWind is Volcano Engine's BI and analytics platform, combining self-service dashboards with AI-assisted insight discovery for Chinese enterprises. OverviewDataWind (火山引擎 DataWind) is…
