How do you keyword stock photos in 2026 without spamming marketplaces?

Hi Product Hunt, I’m Mustafa, the maker of StockTag.AI.

If you upload to stock marketplaces, you know the real bottleneck is not creating. It’s metadata: writing titles, descriptions, and keywords that are accurate, buyer-intent driven, and not rejection-prone. I built StockTag.AI to turn your media into stock-ready metadata fast, and reduce the “guessing game” around keywording.

What StockTag.AI does

Generates professional titles, descriptions, and keywords for stock images and videos, optimized for major marketplaces (e.g., Shutterstock, Getty Images, Adobe Stock).

Lets you start with 10 free credits to test it quickly.

Built for speed and iteration with workflow-oriented modules like Metadata + History, plus detailed analytics and cloud sync/backup to keep your work organized.

Also includes a broader creator toolbox (as listed in the product navigation), such as Market Intelligence, Image Generator, Background Remover, and converters like PNG to PSD and SVG to JPG.

Who it’s for

Stock photographers, vector/illustration contributors, stock video creators

Anyone scaling uploads where metadata quality and consistency affect discoverability

Why I’m launching on Product Hunt

I’m not here for “nice feedback”. I’m here for blunt feedback on weak spots contributors actually care about: over-tagging, generic keywords, missing buyer-intent terms, and anything that could increase rejections or reduce search relevance.

Questions for the community (so you can help shape the roadmap)

Do you prefer fewer, stricter keywords or broader coverage if it might increase reach?

Should keyword output be ranked by importance, or grouped (subject, setting, concepts, emotions, use-cases)?

Would you want per-agency presets (keyword caps, banned terms, style rules)?

What causes the most pain for you: accuracy, speed, consistency, or rejection risk?

If you try it: what’s the first thing that feels “off” in the output (missing concepts, weird synonyms, irrelevant tags)?

If you’re a contributor, I’d love you to tear it apart and tell me what to fix.