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.