Academic Paper Analyzer – In-Depth Analysis of Academic Papers

Core Capabilities

MinerU Cloud API for high-precision PDF parsing
Automatic extraction of images, tables, and LaTeX formulas
Multiple writing styles: storytelling / academic / concise
Optional formula explanations: insert formula images with detailed symbol explanations
Optional code analysis: combine explanations with GitHub open-source code
Output Markdown + HTML (base64-embedded images)

Visit https://mineru.net and register an account
Obtain an API Token
Set an environment variable (recommended):
```
export MINERU_TOKEN="your_token_here"
```

pip install requests markdown

python scripts/mineru_api.py <pdf_path> <output_dir>

Or pass the token directly:

python scripts/mineru_api.py paper.pdf ./output YOUR_TOKEN

Output:

python scripts/extract_paper_info.py <output_dir>/*.md paper_info.json

Before generating the article, you must ask the user to choose the following options:

Style	Characteristics	Use Cases
storytelling	Starts from intuition, uses metaphors and examples, narrative-driven	Blogs, tech columns, popular science
academic	Professional terminology, rigorous expression, preserves original concepts	Academic reports, surveys, research group sharing
concise	Straight to the point, tables and lists, high information density	Quick reads, paper overviews, technical research

Option	Description
with-formulas	Insert formula images and explain symbol meanings in detail
no-formulas (default)	Pure text description, no formula images

Option	Description
with-code	Clone the repository, include key source code, and explain it alongside the paper
no-code (default)	No code analysis

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