Block 1 - Loop Over Items
- Type / Role
- n8n-nodes-base.splitInBatches - splitInBatches
- Config choices
- Version 3
This workflow is provided as-is. Please review and test before using in production.
Tags: Marketing, Image Processing, Automation Context Hey! I’m Samir , a Data Scientist from Paris and the founder of LogiGreen Consulting. We use...
n8n-nodes-base.splitinbatches, n8n-nodes-base.googledrive, n8n-nodes-base.stickynote, n8n-nodes-base.httprequest, n8n-nodes-base.scheduletrigger
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Samir Saci.
Original n8n.io sourceTags: Marketing, Image Processing, Automation
Hey! I’m Samir , a Data Scientist from Paris and the founder of LogiGreen Consulting.
We use AI, automation, and data to support sustainable business practices for small, medium and large companies.
I implemented this workflow to support an event agency to automate image processing like background removal using Photoroom API.
> Automate your photos processing with n8n!
This n8n workflow collects all images in a Google Drive folder shared with multiple photographers.
For each image, it calls the Photoroom API:
This workflow, triggered every morning, will process the backlog of images.
📬 For business inquiries, feel free to connect with me on LinkedIn
This workflow is useful for:
This n8n workflow:
You’ll need:
Follow the sticky notes inside the workflow or check out my step-by-step tutorial on how to configure and deploy it.
This workflow was built using n8n version 1.93.0
Submitted: May 26, 2025
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | 📸 Automate photo background removal with Photoroom API and Google Drive |
|---|---|
| Complexity | intermediate |
| Nodes | 12 |
| Categories | Content Creation, Multimodal AI |
| Author | Samir Saci |
| Published | 26 May 2025 |
Use the JSON export at /data/workflows/4398/4398.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Tags: Marketing, Image Processing, Automation Context Hey! I’m Samir , a Data Scientist from Paris and the founder of LogiGreen Consulting. We use...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.