FlowSync
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中文
ProDocuments5 nodes
Score 73

White Paper Research Pipeline

Feed source URLs and PDFs — Trafilatura scrapes web sources, Docling parses research papers, LLM synthesises findings into structured white paper chapters with citations, exports professional DOCX.

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What does this workflow do?

Drop your URLs — the pipeline runs 5 automated steps: Trafilatura (URLs→text) → Docling (pdf→markdown) → LLM Reasoning (text→json) → LLM Reasoning (json→markdown) → Python-DOCX (markdown→docx) — and delivers docx. Every node is visible, auditable, and replaceable.

System flow

1. Trafilatura — Boilerplate-free main-content extraction from any web page 2. Docling — Layout-aware document parsing that preserves reading order and 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

Pipeline breakdown

Trafilatura URLs Docling pdf LLM Reasoning text LLM Reasoning json Python-DOCX markdown
  1. Trafilatura trafilatura — Boilerplate-free main-content extraction from any web page URLs → text
  2. Docling docling — Layout-aware document parsing that preserves reading order and tables pdf → markdown
  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

Workflow Reputation Score

Based on executions, success rate, update frequency, component quality, and user rating.

73Overall
★★★★★ 4.4
▶Executions
30
✓Success rate
100
↻Update frequency
70
⚙Component quality
90
★User rating
88

Based on executions, success rate, update frequency, component quality, and user rating.

Components used

Trafilaturatrafilatura

Boilerplate-free main-content extraction from any web page

adbar/trafilatura ↗
Doclingdocling

Layout-aware document parsing that preserves reading order and tables

DS4SD/docling ↗
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 ↗

How is this different from n8n or Zapier?

Unlike generic workflow builders, FlowSync workflows ship pre-configured with AI skills baked into every node — OCR, LLM reasoning, transcription, super-resolution — not just webhook triggers. Each node is white-box auditable: you see input, output, and config. Deployment is instant — no self-hosting, no API-key per node.

Use cases

  • Industry white paper production
  • Technical research report
  • Thought-leadership publication
  • Market landscape analysis

Author & Source

This workflow is maintained by the FlowSync team. All components are open-source or commercially licensed. Source code for each component is linked in the Components section above.

Pricing: Free tier available · PRO tier · Official

Data handling

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

FlowSync Workflow Marketplace · 73 reputation score · 30% execution · 100% success · 5-node white-box pipeline · maintained by FlowSync Official

Ready to run?

Feed source URLs and PDFs — Trafilatura scrapes web sources, Docling parses research papers, LLM synthesises findings into structured white paper chapters with citations, exports professional DOCX.

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