StockPhotoScout

ABOUT THE AUTHOR

Steve moved from photography to AI stock workflows

Steve began submitting his own photography in 2018. In 2024, Midjourney and other AI image tools changed how quickly he could test and produce stock ideas. After working through hundreds of thousands of assets, he turned the useful parts of that workflow into StockPhotoScout—and left the most tedious copy and paste to the software.

It started with a camera and one upload at a time

Steve started as a photography enthusiast. He submitted the landscapes, city scenes, and portraits he photographed, gradually learning which pictures people could use, how to describe a photo clearly, and why keyword order should not depend on his mood that day.

The workflow was traditional: shoot, select, edit, title, keyword, upload. None of the steps looked difficult on its own. Together, they were remarkably good at eating evenings and weekends.

He also publishes photography under the name Siyuan: View his Unsplash portfolio

Then AI image tools entered the workflow

Tools such as Midjourney showed Steve that a stock subject could be tested across compositions, settings, and commercial uses much faster. Production was no longer limited in the same way by location, weather, or camera gear, so he began working seriously with AI-generated stock images.

Speed did not remove the old problems. A vague subject, a batch of near-duplicates, a weak title, or unfocused keywords could still waste the whole batch. AI made the images faster; contributor judgment still had to decide which images were worth making.

Modern blue glass office towers reflected across a bright commercial plaza $99.05 earned
This was one of Steve's first AI stock uploads in 2024. By August 4, 2026, it had generated 108 downloads; the latest recorded download was on July 31, and the image was still earning.

Those lessons became StockPhotoScout

Across photography and AI images, Steve studied several mature contributor methods. He kept the parts that held up in volume: start with a clear use, make the subject easy to describe, put buyer language early in the keywords, and do not call a color change a new idea.

Those lessons became StockPhotoScout, connecting subject research, prompts, titles, keywords, and automated upload work. He did not build it because he loves process. He built it because he had done enough repetitive process already.

What he believes

Steve does not put much faith in overnight-sales secrets. He prefers specific subjects, clear uses, fewer near-duplicates, and changing one problem at a time. Sales may not become exciting overnight, but the workflow does not need to exhaust you first.

His test is simple: if the best title you can write is modern business concept, the problem may not be the title. The image idea may still be unfinished.

Contact Steve

For questions about stock contributing, AI image workflows, or StockPhotoScout, send Steve an email.

Email: stockphotoscout001@gmail.com

Read Steve's practical guides

No secret algorithm stories—just what may be worth making, why a file may be rejected, and what to change in the next batch.

Browse all guides

Choose stronger stock ideas before you make them

Check buyer demand, prepare cleaner metadata, and avoid making images that should have been filtered out earlier.