Block 1 - On form submission
- Type / Role
- n8n-nodes-base.formTrigger - formTrigger
- Config choices
- Version 2.2
This workflow is provided as-is. Please review and test before using in production.
AI Powered Image Background Removal Workflow with Google Sheets Integration Flow Description: This workflow utilizes AI powered image background removal integrated with Google Sheets to create a fu...
n8n-nodes-base.formtrigger, n8n-nodes-base.httprequest, n8n-nodes-base.converttofile, n8n-nodes-base.if, n8n-nodes-base.wait, n8n-nodes-base.googlesheets, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Evoort Solutions.
Original n8n.io sourceThis workflow utilizes AI-powered image background removal integrated with Google Sheets to create a fully automated and streamlined process for handling and managing image files. The flow is triggered when a user uploads an image through a form. The image is sent to the API Background Remover AI, where it undergoes automatic background removal. Upon successful processing, the new image is uploaded to a temporary file storage service using the Temp File Upload. Afterward, the relevant data, including the image link and status, is logged in a Google Sheets document for easy access and tracking.
In case the process fails, the system automatically logs a failure status in the same Google Sheet, along with the reason (if applicable). This allows users to have a transparent, organized, and real-time view of both successful and failed background removal attempts.
This workflow is highly beneficial for businesses and developers who need to process multiple images automatically. It helps automate tedious tasks such as background removal, making it an efficient tool for industries like:
The data from the workflow will be automatically added to a Google Sheets document, creating an organized table with information about the processed images. The table will have the following columns:
| Image Name | Link | Status | Expire At |
|---|---|---|---|
image1.jpg |
Link | Success | 2025-07-25T12:00:00Z |
image2.jpg |
Link | Success | 2025-07-25T12:00:00Z |
image3.jpg |
Not found | Failed | 2025-07-24T12:00:00Z |
image4.jpg |
Link | Success | 2025-07-25T12:00:00Z |
This table provides real-time tracking of each image processing event, offering full visibility of the workflow results. It is ideal for businesses or developers who need to keep a record of their image-processing operations.
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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 | Process images with Background Remover AI and track results in Google Sheets |
|---|---|
| Complexity | advanced |
| Nodes | 17 |
| Categories | Content Creation, Multimodal AI |
| Author | Evoort Solutions |
| Published | 24 Jul 2025 |
Use the JSON export at /data/workflows/6376/6376.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.
AI Powered Image Background Removal Workflow with Google Sheets Integration Flow Description: This workflow utilizes AI powered image background removal integrated with Google Sheets to create a fu...
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.