A simple, visual guide with real examples. Learn to tag photos that buyers actually find and download.
Buyers don't browse stock platforms. They search. If your keywords don't match what they type, your photo is invisible.
A buyer searching "woman working laptop cafe" will only see photos tagged with those keywords
Here's the math: writing keywords for one photo takes 5-15 minutes. For 100 photos, that's 8-25 hours. This is why most photographers give up on stock.
When you upload to Shutterstock or Adobe Stock, you'll see a metadata panel like this. Here's what each field does:
A complete metadata panel with title, description, and 34 keywords. The first 10 (teal tags) carry the most weight on Shutterstock.
Your title should describe what's in the photo in 5-15 words. Be literal, not creative.
Buyers can't find these. Too vague or irrelevant.
Specific, literal, descriptive. Buyers search these exact terms.
1-3 sentences. Include the subject, colors, lighting, mood, and context.
See the pattern? Subject → Lighting → Colors → Mood → Usage. This gives the algorithm maximum context to match your photo with buyer searches.
Use this simple 4-layer system to generate keywords for any photo:
beach, ocean, sunset, sand, palm trees, water, sky, tropical, island, waves, drone, aerial
vacation, travel, paradise, relaxation, freedom, escape, tranquility, adventure, serenity, peaceful
aerial photography, drone shot, bird's eye view, golden hour, wide angle, landscape orientation
travel brochure, tourism marketing, wallpaper, background, calendar, postcard, hotel website
Let's keyword this photo properly:
Mountain hiker at sunrise — a popular stock photography subject
Too generic. "Photo" and "image" are useless. Missing specifics.
All 4 layers used. Specific, varied, and relevant.
Adding irrelevant keywords to appear in more searches. Platforms detect this and lower your ranking.
"Nature," "people," "outdoor" are too broad. You compete with millions. Add specific, long-tail keywords.
Buyers search for emotions too: "freedom," "success," "loneliness." Missing these = missing sales.
First 10 keywords matter most on Shutterstock. Don't randomize. Most important first.
10 minutes per photo × 100 photos = 16+ hours. This is why photographers give up. Use AI instead.
If you're keywording manually, you're spending hours on work AI can do in seconds.
StockFlow analyzes your photos and generates everything automatically:
Pricing: Free for 50 photos. Paid plans start at $9/month for 200 photos.
Try StockFlow Free →Free for 50 photos • No credit card required
Before uploading any photo, check:
5-15 words, literal, includes subject + setting
1-3 sentences with colors, lighting, mood
Literal + conceptual + technical + usage
Most important keywords in first 10 positions
Every keyword must accurately describe the photo
30-50. Use as many relevant ones as possible. First 10 are most important on Shutterstock.
Yes. StockFlow analyzes each photo visually and generates accurate, relevant keywords using the 4-layer system. Try it free for 50 photos.
5-15 minutes per photo. For 100 photos, that's 8-25 hours. StockFlow does the same in under 2 minutes.
Yes. On Shutterstock, the first 10 keywords carry the most weight. On Alamy, the first 10 are "supertags." Always order by importance.