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ProResearch5 节点
评分 73

Patent Analysis Pipeline

Drop patent PDFs — PyPDF + PDFPlumber extract claims and figures, LLM maps claim structures and identifies key innovations, generates a comparison matrix and novelty analysis report.

运行此模板 → Fork 并自定义

这个工作流做什么？

投入你的PyPDF——管线自动执行 5 个步骤：PyPDF → PDFPlumber → LLM Reasoning → LLM Reasoning → Python-DOCX——最终输出Python-DOCX。每个节点都可见、可审计、可替换。

系统流程

1. PyPDF — PDF text and metadata extraction, page-level splitting 2. PDFPlumber — Precision PDF extraction for columns, figures and inline tables 3. LLM Reasoning — Large-language-model step that extracts, classifies, validates or writes structured output 4. LLM Reasoning — Large-language-model step that extracts, classifies, validates or writes structured output 5. Python-DOCX — Renders the final Word document with headings, tables and styling

管线分解

PyPDF pdf PDFPlumber pdf LLM Reasoning text LLM Reasoning json Python-DOCX markdown
  1. PyPDF pypdf — PDF text and metadata extraction, page-level splitting pdf → text
  2. PDFPlumber pdfplumber — Precision PDF extraction for columns, figures and inline tables pdf → json
  3. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output text → json
  4. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output json → markdown
  5. Python-DOCX python-docx — Renders the final Word document with headings, tables and styling markdown → docx

工作流信誉评分

基于执行次数、成功率、更新频率、组件质量和用户评分。

73总分
★★★★★ 4.4
▶执行次数
30
✓成功率
100
↻更新频率
70
⚙组件质量
90
★用户评分
88

基于执行次数、成功率、更新频率、组件质量和用户评分。

使用组件

PyPDFpypdf

PDF text and metadata extraction, page-level splitting

py-pdf/pypdf ↗
PDFPlumberpdfplumber

Precision PDF extraction for columns, figures and inline tables

jsvine/pdfplumber ↗
LLM Reasoningllm

Large-language-model step that extracts, classifies, validates or writes structured output

FlowSync proprietary
Python-DOCXpython-docx

Renders the final Word document with headings, tables and styling

python-openxml/python-docx ↗

与 n8n / Zapier 有什么不同？

与通用工作流构建器不同，FlowSync 工作流在每个节点中预置了 AI 能力——OCR、LLM 推理、转录、超分辨率——不仅仅是 webhook 触发器。每个节点都白盒可审计：你能看到输入、输出和配置。部署即时——无需自托管，无需逐节点配置 API 密钥。

使用场景

  • Patent landscape analysis
  • Prior art search
  • IP portfolio review
  • Technology whitespace identification

作者与来源

此工作流由 FlowSync 团队维护。所有组件均为开源或商业授权。各组件的源码链接见上方"组件"部分。

定价: 提供免费层 · PRO tier · 官方

数据处理

Data is processed in-memory during pipeline execution only. No files are stored permanently unless you choose to save outputs to your account.

FlowSync 工作流市场 · 73 分信誉评分 · 30% 执行率 · 100% 成功率 · 5 节点白盒管线 · FlowSync Official 维护

准备好运行了吗？

Drop patent PDFs — PyPDF + PDFPlumber extract claims and figures, LLM maps claim structures and identifies key innovations, generates a comparison matrix and novelty analysis report.

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