FlowSync
Open App
中文
FreeMedia3 nodes
Score 67

Batch Image Optimizer

Drop a folder of images — Pillow resizes and adjusts, Real-ESRGAN upscales low-res sources, final Pillow pass converts to WebP with optimal compression settings for web delivery.

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What does this workflow do?

Drop your image — the pipeline runs 3 automated steps: Pillow (image→image) → Real-ESRGAN (image→image) → 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. Real-ESRGAN — AI super-resolution upscaling that restores detail without artefacts 3. Pillow — Image pre-processing — deskew, denoise, crop and normalise before analysis

Pipeline breakdown

Pillow image Real-ESRGAN image Pillow image
  1. Pillow pillow — Image pre-processing — deskew, denoise, crop and normalise before analysis image → image
  2. Real-ESRGAN realesrgan — AI super-resolution upscaling that restores detail without artefacts image → image
  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.

67Overall
★★★★★ 4
▶Executions
25
✓Success rate
93
↻Update frequency
65
⚙Component quality
82
★User rating
80

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 ↗
Real-ESRGANrealesrgan

AI super-resolution upscaling that restores detail without artefacts

xinntao/Real-ESRGAN ↗

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

  • Website image optimization
  • E-commerce product image batch
  • CMS media library cleanup
  • Portfolio image preparation

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 · 67 reputation score · 25% execution · 93% success · 3-node white-box pipeline · maintained by FlowSync Official

Ready to run?

Drop a folder of images — Pillow resizes and adjusts, Real-ESRGAN upscales low-res sources, final Pillow pass converts to WebP with optimal compression settings for web delivery.

Run Batch Image Optimizer → Browse all workflows →