中文
ProMedia3 nodes
Score 71

Video Thumbnail Generator

Extract key frames from video — LLM scores visual interest, picks the best frame, Pillow overlays headline text with brand styling, exports platform-optimised thumbnails in multiple ratios.

What does this workflow do?

Drop your image — the pipeline runs 3 automated steps: Pillow (image→image) → LLM Reasoning (image→text) → Pillow (image→image) — and delivers image. Every node is visible, auditable, and replaceable.

System flow

1. Pillow — Image pre-processing — deskew, denoise, crop and normalise before analysis 2. LLM Reasoning — Large-language-model step that extracts, classifies, validates or writes structured output 3. Pillow — Image pre-processing — deskew, denoise, crop and normalise before analysis

Pipeline breakdown

Pillow image LLM Reasoning image Pillow image
  1. Pillow pillow — Image pre-processing — deskew, denoise, crop and normalise before analysis image → image
  2. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output image → text
  3. Pillow pillow — Image pre-processing — deskew, denoise, crop and normalise before analysis image → image

Workflow Reputation Score

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

71Overall
★★★★★ 4.2
▶Executions
30
✓Success rate
97
↻Update frequency
70
⚙Component quality
84
★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 ↗
LLM Reasoningllm

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

FlowSync proprietary

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

  • YouTube thumbnail production
  • Course video preview images
  • Social media video covers
  • Livestream highlight thumbnails

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 · 71 reputation score · 30% execution · 97% success · 3-node white-box pipeline · maintained by FlowSync Official

Ready to run?

Extract key frames from video — LLM scores visual interest, picks the best frame, Pillow overlays headline text with brand styling, exports platform-optimised thumbnails in multiple ratios.