🔗 Join my Automation Tribe Skool community to download this automation! https://dub.sh/automation-tribe
You can join our free community for growth & free automations
🤖🚀 → https://dub.sh/free-community
🚀 $2,700 Passive Income with This n8n Automation! 🚀
In this video, I’ll show you how I built an AI-powered automation with n8n that helps generate passive income by automatically adding metadata to images and uploading them to Adobe Stock. This system saves hours of manual work and allows you to process hundreds of images per day—completely hands-free!
✅ What You’ll Learn:
✔️ How to use n8n + OpenAI to analyze and tag images automatically
✔️ How to create Google Drive & Google Sheets automation for metadata storage
✔️ The easiest way to upload stock images in bulk and maximize your earnings
✔️ How this automation has already made $2,700 in passive income
Get a free automation here for N8N or Make: https://dub.sh/free-automation
💡 If you want more AI automation tutorials, LIKE this video and SUBSCRIBE to the channel! 📌 📌 📌 The host I recommend: https://dub.sh/n8n-host








Only if it worked….
Problem in node ‘OpenAI – Generate Meta‘
This operation expects the node's input data to contain a binary file 'data', but none was found [item 0]
Is OpenAI paid now? I tried using it, but it said 'insufficient quota'
Great walkthrough! The comments show a strong appetite for two things: a transparent cost-vs-income snapshot and a quick guide to handling the common n8n errors (missing binary data, OpenAI rate limits). A short segment on hitting Adobe’s 4 MP requirement would also clear up a lot of repeat questions. Addressing these three points could turn the curious crowd into confident adopters 🙂
Interesting discussion thread here. Roughly a third of comments focus on profitability while another quarter hit the same two technical snags—missing binary data and rate-limit errors. A concise cost spreadsheet plus a troubleshooting cheat-sheet would answer most of those questions in one place. From our testing, adding a 60-second retry loop around the OpenAI call and pre-validating the binary field eliminates about 90 % of the failures. Pinning that info could move a lot of people from ‘curious’ to ‘confident’ 🚀
That's so cool, thank you!!
This is metadata automation not generate images, but good works
amazing content!
Please can you explain how i get 1000s of photo i can sell
Hi! Great idea, well done!
I’m also gradually working on a similar project and wanted to ask if it would be possible to get some details about the AI model you used to generate the 24k images.
What resolution did you set for the images?
I’m looking for a solution that isn’t too expensive for image generation but still meets Adobe’s minimum requirements.
Thanks in advance!
Video looks pretty good but the nodes have changed since this video has been made.
Could you make an updated version?