paper-analyzer

Solid

Transform academic papers into in-depth technical articles with multiple writing style options. Use the MinerU Cloud API for high-precision PDF parsing, automatically extracting images, tables, and formulas. Optional formula explanations and GitHub code analysis, generating Markdown and HTML formats.

Data & Documents 20 stars 1 forks Updated 1 months ago MIT

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Quality Score: 81/100

Stars 20%
44
Recency 20%
75
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# 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) ## Prerequisites ### MinerU API Token 1. Visit https://mineru.net and register an account 2. Obtain an API Token 3. Set an environment variable (recommended): ```bash export MINERU_TOKEN="your_token_here" ``` ### Dependency Installation ```bash pip install requests markdown ``` ## Workflow ### Step 1: PDF Parsing (Using MinerU API) ```bash python scripts/mineru_api.py <pdf_path> <output_dir> ``` Or pass the token directly: ```bash python scripts/mineru_api.py paper.pdf ./output YOUR_TOKEN ``` **Output:** - `output_dir/*.md` – Markdown files (including formulas and tables) - `output_dir/images/` – High-quality extracted images ### Step 2: Extract Paper Metadata ```bash python scripts/extract_paper_info.py <output_dir>/*.md paper_info.json ``` ### Step 3: Style Selection (Ask the User) Before generating the article, **you must ask the user** to choose the following options: #### 1. Writing Style (Required) | Style | Characteristics | Use Cases | |------|-----------------|...

Details

Author
proyecto26
Repository
proyecto26/sherlock-ai-plugin
Created
3 months ago
Last Updated
1 months ago
Language
TypeScript
License
MIT

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