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.
There's a clear need for an easier way to manage attendee photos from live events, as current processes for collecting, sharing, and categorizing them are inefficient. n8n can indeed help to solve ...
n8n-nodes-base.formtrigger, n8n-nodes-base.splitout, n8n-nodes-base.set, n8n-nodes-base.merge, n8n-nodes-base.httprequest, n8n-nodes-base.googledrive, n8n-nodes-base.editimage, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jimleuk.
Original n8n.io sourcen8n can indeed help to solve this challenge by providing the data input interface via its forms and orchestrate AI-powered classification of images using AI nodes. However, in some cases - say you run regular events or with high attendee counts - the volume of photos may result in unsustainably high inference fees (token usage based billing) which could make the project unviable.
To work around this, Featherless.ai is an AI/LLM inference service which is subscription-based and provides unlimited tokens instead. This means costs are essentially capped for AI usage offering greater control and confidence on AI project budgets.
Check out the final result here: https://docs.google.com/spreadsheets/d/1TpXQyhUq6tB8MLJ3maeWwswjut9wERZ8pSk_3kKhc58/edit?usp=sharing
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 | Classify event photos from attendees with Gemma AI, Google Drive & Sheets |
|---|---|
| Complexity | advanced |
| Nodes | 20 |
| Categories | File Management, AI Summarization |
| Author | Jimleuk |
| Published | 28 Jul 2025 |
Use the JSON export at /data/workflows/6575/6575.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.
There's a clear need for an easier way to manage attendee photos from live events, as current processes for collecting, sharing, and categorizing them are inefficient. n8n can indeed help to solve ...
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 File Management, AI Summarization use case.