中文
FreeOffice5 nodes
Score 69

Meeting Minutes Automation

Drop a meeting recording — faster-whisper transcribes it, LLMs structure the minutes, and a polished DOCX with 5-layer detail lands in your downloads.

What does this workflow do?

音频流预处理(降噪/增益/VAD 活性检测)→ Faster-Whisper 高精度转写(带词级时间戳)→ 说话人嵌入向量聚类与分离 → 会议语篇结构分析(开场/议题/讨论/决策/结尾)→ AI 议题抽取与结论提炼 → 待办事项自动分配(负责人+DDL)→ 专业 Word 模板渲染

System flow

音频流预处理(降噪/增益/VAD 活性检测)→ Faster-Whisper 高精度转写(带词级时间戳)→ 说话人嵌入向量聚类与分离 → 会议语篇结构分析(开场/议题/讨论/决策/结尾)→ AI 议题抽取与结论提炼 → 待办事项自动分配(负责人+DDL)→ 专业 Word 模板渲染

Pipeline breakdown

Pillow audio Faster-Whisper audio LLM Reasoning json LLM Reasoning json Python-DOCX json
  1. Pillow pillow — Image pre-processing — deskew, denoise, crop and normalise before analysis audio → audio
  2. Faster-Whisper faster-whisper — Local speech-to-text transcription with timestamps and speaker turns audio → json
  3. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output json → json
  4. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output json → json
  5. Python-DOCX python-docx — Renders the final Word document with headings, tables and styling json → docx

Workflow Reputation Score

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

69Overall
★★★★★ 4.2
▶Executions
25
✓Success rate
96
↻Update frequency
65
⚙Component quality
88
★User rating
84

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

Components used

Pillowpillow

Image pre-processing — deskew, denoise, crop and normalise before analysis

python-pillow/Pillow ↗
Faster-Whisperfaster-whisper

Local speech-to-text transcription with timestamps and speaker turns

SYSTRAN/faster-whisper ↗
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

  • 日常团队站会/周会
  • 客户访谈录音归档
  • 产品评审会决策追踪
  • 跨部门协调会议同步

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

Field notes

每天 4-6 个会,Otter 每月 $17 还要付费。这个免费版效果一样,还带说话人识别。

— 产品总监 Alex, SaaS 产品总监

客户访谈录音转结构化纪要,一键出 Word。比人工整理节省 90% 时间。

— 咨询经理 Sarah, 战略咨询

技术评审会的决议和待办自动生成,追踪起来特别清晰。

— CTO 老王, 技术公司 CTO

Data handling

音频文件仅在处理过程中临时使用,原始音频完成后即刻清除。转录文本和纪要仅存储于您的账户。不会用于任何 AI 模型训练。敏感会议建议使用私有化部署。

FlowSync Workflow Marketplace · 69 reputation score · 25% execution · 96% success · 5-node white-box pipeline · maintained by FlowSync Official

Ready to run?

Drop a meeting recording — faster-whisper transcribes it, LLMs structure the minutes, and a polished DOCX with 5-layer detail lands in your downloads.