datalab-to/marker

Health v2 · maintenance only

Adoption not part of the score

39295 stars · 2826 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Marker is a Python library and CLI tool that converts PDFs, images, and office documents (DOCX, PPTX, XLSX, EPUB, HTML) into markdown, JSON, HTML, and chunks with high accuracy. It uses deep learning models for layout detection and OCR, with optional LLM-boosted accuracy, and runs on GPU, CPU, or MPS.

Use cases

• convert pdf to markdown
• extract text and tables from scanned pdfs
• turn documents into json for llm ingestion
• ocr pdfs with equations and math
• batch convert docx and pptx to markdown
• prepare documents for rag pipelines
• extract images from pdf documents

When to choose

• you need fast, accurate pdf-to-markdown conversion at scale
• your documents contain tables, math, forms, or multi-column layouts
• you want a self-hosted alternative to managed document APIs
• you need to feed documents into LLM or RAG workflows

When to avoid

• you only need simple text extraction from born-digital PDFs (pdftotext may suffice)
• you cannot run deep learning models locally and don't want the managed platform
• you need pixel-perfect visual fidelity rather than structured markdown output

Facets

library · maturity active

ocr pdf parser machine-learning llm-inference pdf files machine-learning developer-tools python cli cross-platform pdf-to-markdown document-conversion document-intelligence deep-learning ocr gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="datalab-to/marker")