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Paper Parser

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Parse academic papers and research documents from PDF using MinerU. Extracts structured content including title, abstract, sections, figures, tables, formula...

What it does

Convert and extract content from .pdf using MinerU ().

The skill document

Paper Parser

Convert and extract content from .pdf using MinerU (mineru-open-api).

Install

npm install -g mineru-open-api
# or via Go (macOS/Linux):
go install github.com/opendatalab/MinerU-Ecosystem/cli/mineru-open-api@latest

Quick Start

# Parse academic paper (requires token)
mineru-open-api extract paper.pdf -o ./out/

# Use VLM for complex layouts
mineru-open-api extract paper.pdf --model vlm -o ./out/

# Extract from arXiv URL
mineru-open-api extract https://arxiv.org/pdf/2309.10918 -o ./out/

Authentication

Token required for extract and crawl:

mineru-open-api auth            # Interactive token setup
export MINERU_TOKEN="your-token" # Or via environment variable

Create token at: https://mineru.net/apiManage/token

Capabilities

  • Supports local files and URLs
  • Requires token (mineru-open-api auth or MINERU_TOKEN env)
  • Supported input: .pdf
  • Language hint with --language (default: ch, use en for English)
  • Page range with --pages (where applicable)

Notes

  • Academic papers benefit from --model vlm for better layout accuracy. Requires extract with token.
  • Output goes to stdout by default; use -o to save to file
  • Binary formats (docx) require -o flag (cannot stream to stdout)
  • All progress/status messages go to stderr
  • MinerU is an open-source project by OpenDataLab (Shanghai AI Lab): https://github.com/opendatalab/MinerU

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