I shoot stock photography on the side, and the metadata grind was killing the hobby for me. Writing a title, description, and 35+ keywords for every photo in a batch takes longer than the shoot itself. I tried spreadsheets, templates, copy-pasting from similar images. Nothing stuck. So I built Picseta. The idea: the photo is the brief. Feed it to a vision model, get usable metadata back. The hard part was making the output actually good, not generic AI filler. It needed to reflect what's in the image, hit the right Shutterstock categories, and include the feeling and colour tags that actually drive discoverability. Once the metadata looked right, the next problem was getting it into the platforms. So I added a Chrome extension that fills in Shutterstock's contributor form for you, and a CSV export in both Shutterstock and Adobe Stock formats for everything else. If you shoot for stock, what's the biggest pain in your submission workflow? Curious if it's just metadata or something else.

Picseta

AI metadata for stock photos, titles and keywords

AI metadata for stock photos, titles and keywords