中文
FreeDevelopment4 nodes
Score 68

API Documentation Generator

Point to an OpenAPI spec URL — LLM generates human-readable endpoint descriptions, request examples, error handling, and SDK snippets, exports as DOCX or Markdown for your developer portal.

What does this workflow do?

Drop your spec — the pipeline runs 4 automated steps: Requests (spec→json) → LLM Reasoning (json→markdown) → MarkItDown (markdown→html) → Python-DOCX (markdown→docx) — and delivers docx. Every node is visible, auditable, and replaceable.

System flow

1. Requests — HTTP fetch layer with retry, throttle and header control 2. LLM Reasoning — Large-language-model step that extracts, classifies, validates or writes structured output 3. MarkItDown — Converts mixed document formats into clean Markdown 4. Python-DOCX — Renders the final Word document with headings, tables and styling

Pipeline breakdown

Requests spec LLM Reasoning json MarkItDown markdown Python-DOCX markdown
  1. Requests requests — HTTP fetch layer with retry, throttle and header control spec → json
  2. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output json → markdown
  3. MarkItDown markitdown — Converts mixed document formats into clean Markdown markdown → html
  4. 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.

68Overall
★★★★ 4.1
Executions
25
Success rate
95
Update frequency
65
Component quality
85
User rating
82

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

Components used

Requestsrequests

HTTP fetch layer with retry, throttle and header control

psf/requests ↗
LLM Reasoningllm

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

FlowSync proprietary
MarkItDownmarkitdown

Converts mixed document formats into clean Markdown

microsoft/markitdown ↗
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

  • OpenAPI spec to docs
  • Endpoint usage guide
  • SDK reference generation
  • Developer portal content

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 · FREE 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 · 68 reputation score · 25% execution · 95% success · 4-node white-box pipeline · maintained by FlowSync Official

Ready to run?

Point to an OpenAPI spec URL — LLM generates human-readable endpoint descriptions, request examples, error handling, and SDK snippets, exports as DOCX or Markdown for your developer portal.