This article provides a complete, practical walkthrough of the Splitout Editimage Automation Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   **Title**: Automate Background Removal for Google Drive Images Using n8n and PhotoRoom API
   
   **Meta Description**: Discover how to automate advanced background removal of images in Google Drive using n8n and PhotoRoom API. This workflow adds padding, supports custom sizes, and saves results directly back to Drive.
   
   **Keywords**: n8n workflow, PhotoRoom API, background remover, Google Drive automation, image processing, no-code automation, n8n Google Drive, photo editing n8n, background removal API, automate image editing
   
   **Third-party APIs Used**:
   
   - Google Drive API (via n8n Google Drive nodes)
   - PhotoRoom API (https://www.photoroom.com/api)
   
   ---
   
   ## Automate Background Removal for Google Drive Images Using n8n and PhotoRoom API
   
   In today’s digital workspace, efficiency and automation go hand-in-hand — especially when it comes to visual content management. If you often work with images on Google Drive and need to remove backgrounds or standardize image sizes for product listings, ecommerce, or social media, this no-code solution is perfect for you.
   
   This n8n workflow provides a hands-free way to monitor a specific folder in Google Drive, automatically remove the background from newly uploaded images (via PhotoRoom API), add optional padding or background color, and re-upload the processed images into another designated Google Drive folder. Whether you're looking to process one file or bulk-update an entire folder of product images, automation like this saves countless hours of manual editing.
   
   Let's break down exactly how it works.
   
   ---
   
   ### How the Workflow Works
   
   1. **Trigger on New Images in Google Drive**
      The workflow begins with the “Watch for new images” node, which monitors a specific folder using the Google Drive Trigger. Whenever a new file (image) is uploaded, the workflow is initiated.
   
   2. **Download the Image**
      The image is downloaded from the source folder using the Google Drive "Download" node, which fetches the full binary file for processing.
   
   3. **Extract Image Information**
      The "Get Image Size" node uses n8n's built-in image editor module to retrieve the dimensions and metadata of the image. This step is important if you want to preserve the original size when removing the background.
   
   4. **Configure Settings**
      Next, a dedicated “Config” node sets up workflow parameters such as:
      - Background color (e.g., white, transparent, or any HEX)
      - Padding value (e.g., 5%)
      - Desired output size (e.g., 1600x1600px) or whether to keep original size
      - Google Drive folder URL for re-upload
      - API Key for PhotoRoom (a requirement for image processing)
   
   5. **Split and Merge Data**
      A combination of “Split Out” and “Merge” nodes prepares the input file and image geometry for conditional flow logic, depending on whether the user has chosen to keep the original image size or use fixed dimensions.
   
   6. **Conditional Logic: Fixed vs Original Size**
      Using an "If" node, the workflow checks whether to preserve the original image size or use a defined output size. Based on the result, it routes to the appropriate API call:
      - If using a fixed size: calls the PhotoRoom API with outputSize defined
      - Otherwise: retains the original dimensions
   
   7. **Remove Background via PhotoRoom API**
      The PhotoRoom API is called with multipart form-data containing the image, background color, padding, and output resolution. The image is processed and returned with the background removed.
   
   8. **Upload the Processed Image Back to Google Drive**
      After processing, the final image file is uploaded to a specified output folder using the “Upload to Google Drive” node. The file is renamed with a BG-Removed prefix to ensure traceability.
   
   ---
   
   ### Key Features and Customization Options
   
   This workflow is highly customizable for a wide variety of use cases:
   
   - ✅ Remove image backgrounds automatically
   - ✅ Apply transparent or single-color backgrounds
   - ✅ Add percentage-based padding (e.g., white borders)
   - ✅ Choose between fixed output size or preserve original resolution
   - ✅ Save results to a custom Google Drive folder
   - ✅ Monitor for new uploads in real-time (polls every minute)
   - ✅ Add more logic (e.g., image labeling, watermarking, text overlays using n8n’s image tools)
   
   ---
   
   ### Setup Instructions
   
   Before using this workflow, you’ll need:
   
   - ✅ A Google Drive account with OAuth credentials added to n8n
   - ✅ A PhotoRoom API key (get it [here](https://docs.photoroom.com/getting-started/how-can-i-get-my-api-key))
   
   In the Config node, input the following:
   - Your PhotoRoom API Key
   - Output Size (or toggle keepInputSize)
   - Background color (e.g., "white", "transparent", or "#ffcc00")
   - Padding (default: 5%)
   - Input image filename from Google Drive
   - Output Google Drive folder URL
   
   ---
   
   ### Real-World Use Cases
   
   - 🛒 Ecommerce: Clean product photos for online shops like Shopify, WooCommerce, or Etsy
   - 📸 Photography studios: Batch background removal on client shoots
   - ✨ Design teams: Auto-format visuals for social media or presentations
   - 🧠 AI image labeling: Preprocess images before feeding into machine learning models
   
   ---
   
   ### Final Thoughts
   
   By combining the power of n8n, Google Drive, and the PhotoRoom API, this workflow transforms tedious image post-processing into a one-click (or no-click) automated solution. Whether you’re dealing with a few uploads a week or thousands per day, this background removal setup offers flexibility and scalability — and all without writing a single line of custom code.
   
   Explore, customize, and expand this workflow to become part of a larger automation ecosystem within your team or organization. From here, you can even connect the output to services like Dropbox, Notion, Airtable, or a CMS.
   
   Ready to try it? Build your own image automation pipeline today within n8n.
   
   ---
   
   Explore the PhotoRoom API Playground:  
   🔗 https://www.photoroom.com/api/playground
   
   Download n8n or try it in the cloud:  
   🔗 https://n8n.io
   
   Happy automating! ⚙️📸

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.