pdf-parser
使用 MinerU API 将 PDF 解析为 Markdown，支持公式、表格、OCR。提供本地文件和在线 URL 两种解析方式。触发条件：(1) 用户说"解析 PDF [路径]"，(2) 用户说"将 PDF 转为 Markdown"，(3) 在 paper-workflow 中自动调用。使用场景：学术论文解析、文档提取、知识库构建。
Best use case
pdf-parser is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
使用 MinerU API 将 PDF 解析为 Markdown，支持公式、表格、OCR。提供本地文件和在线 URL 两种解析方式。触发条件：(1) 用户说"解析 PDF [路径]"，(2) 用户说"将 PDF 转为 Markdown"，(3) 在 paper-workflow 中自动调用。使用场景：学术论文解析、文档提取、知识库构建。
Teams using pdf-parser should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/mineru-pdf-parser/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How pdf-parser Compares
| Feature / Agent | pdf-parser | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
使用 MinerU API 将 PDF 解析为 Markdown，支持公式、表格、OCR。提供本地文件和在线 URL 两种解析方式。触发条件：(1) 用户说"解析 PDF [路径]"，(2) 用户说"将 PDF 转为 Markdown"，(3) 在 paper-workflow 中自动调用。使用场景：学术论文解析、文档提取、知识库构建。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# PDF Parser Skill 基于 [MinerU](https://github.com/opendatalab/MinerU) 提供 PDF 解析能力。 ## 功能 - **PDF 解析**: 将 PDF 转换为 Markdown 格式 - **公式识别**: 支持 LaTeX 公式提取 - **表格识别**: 自动识别并转换表格结构 - **OCR**: 支持图片型 PDF 文字识别 - **多语言**: 支持中文、英文，日文、韩文等 ## ⚠️ 安装前必读 **使用本技能即表示：** 1. 你愿意提供你的 MinerU API Token (`MINERU_TOKEN`) 2. Token 会被发送给 https://mineru.net/ 3. 确认 MinerU 服务可信，接受其隐私政策 4. 已在本地源码中确认无额外意外行为 ## 前提条件 ### 1. 安装依赖 ```bash pip install requests ``` ### 2. 获取 MinerU Token 访问 <https://mineru.net/> 注册并获取 API Token。 ### 3. 设置环境变量 **Windows (PowerShell):** ```powershell $env:MINERU_TOKEN = "your-token-here" ``` **macOS / Linux:** ```bash export MINERU_TOKEN=your-token-here ``` ## 支持的引擎 | 引擎 | 说明 | |------|------| | vlm | VLM 引擎（默认） | | pipeline | 管道引擎 | | MinerU-HTML | HTML 输出 | ## 快速开始 ```bash # 解析 PDF (默认 vlm 引擎) python scripts/mineru_api.py -f <pdf路径> --wait # 指定引擎 python scripts/mineru_api.py -f <pdf路径> --engine pipeline --wait ``` ## 选项 | 参数 | 说明 | 默认值 | |------|------|--------| | -f, --files | 本地 PDF 文件 | - | | --engine | 解析引擎 | vlm | | --lang | 语言 (ch/en/ja/ko) | ch | | --wait | 等待解析完成 | 否 | ## 环境变量 | 变量 | 必填 | 说明 | |------|------|------| | MINERU_TOKEN | 是 | MinerU API Token | ## 输出 解析结果保存在 `~/.openclaw/MinerU_Results/` 目录下。 ## 工作流 1. 设置 `MINERU_TOKEN` 环境变量 2. 执行解析命令 3. 等待解析完成 4. 读取 full.md 分析内容 5. 根据内容重命名目录
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