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ProMedia4 nodes
Score 72

Infographic Data Pipeline

Upload data CSV — Pandas computes key metrics, LLM selects optimal chart types and narrative flow, generates a PowerPoint deck with data-driven slides and design suggestions for infographic designers.

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What does this workflow do?

Drop your csv — the pipeline runs 4 automated steps: Pandas (csv→json) → LLM Reasoning (json→json) → LLM Reasoning (json→markdown) → Python-PPTX (markdown→pptx) — and delivers pptx. Every node is visible, auditable, and replaceable.

System flow

1. Pandas — Tabular compute — join, aggregate, validate and reshape the extracted records 2. LLM Reasoning — Large-language-model step that extracts, classifies, validates or writes structured output 3. LLM Reasoning — Large-language-model step that extracts, classifies, validates or writes structured output 4. Python-PPTX — Builds the PowerPoint deck — layouts, charts, speaker notes

Pipeline breakdown

Pandas csv LLM Reasoning json LLM Reasoning json Python-PPTX markdown
  1. Pandas pandas — Tabular compute — join, aggregate, validate and reshape the extracted records csv → json
  2. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output json → json
  3. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output json → markdown
  4. Python-PPTX python-pptx — Builds the PowerPoint deck — layouts, charts, speaker notes markdown → pptx

Workflow Reputation Score

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

72Overall
★★★★★ 4.3
▶Executions
30
✓Success rate
99
↻Update frequency
70
⚙Component quality
87
★User rating
86

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

Components used

Pandaspandas

Tabular compute — join, aggregate, validate and reshape the extracted records

pandas-dev/pandas ↗
LLM Reasoningllm

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

FlowSync proprietary
Python-PPTXpython-pptx

Builds the PowerPoint deck — layouts, charts, speaker notes

scanny/python-pptx ↗

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

  • Annual report infographic
  • Data journalism visual
  • Marketing statistics one-pager
  • Internal KPI dashboard export

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 · 72 reputation score · 30% execution · 99% success · 4-node white-box pipeline · maintained by FlowSync Official

Ready to run?

Upload data CSV — Pandas computes key metrics, LLM selects optimal chart types and narrative flow, generates a PowerPoint deck with data-driven slides and design suggestions for infographic designers.

Run Infographic Data Pipeline → Browse all workflows →