One of the most debated topics in stock photography is keyword quantity. Should you max out at 50 keywords? Keep it tight at 25? Or somewhere in between?
The answer depends on your platform, your niche, and how relevant your keywords actually are. Let’s break it down with real data and platform-specific recommendations.
What Each Platform Allows (and Recommends)
Every stock platform has its own keyword limits and best practices:
| Platform | Maximum Keywords | Recommended | Notes |
|---|---|---|---|
| Adobe Stock | 25 | 15-25 | Adobe reduced the limit from 50 to 25 in 2025. Quality over quantity. |
| Shutterstock | 50 | 30-50 | More keywords generally means more discoverability on Shutterstock. |
| Freepik | 50 | 25-40 | Focus on specificity. Generic keywords get buried. |
| Canva | No hard limit | 20-30 | Canva’s search is simpler — fewer, more focused keywords work best. |
| Dreamstime | 50 | 25-50 | Dreamstime rewards comprehensive keywording. |
| Pond5 | 50 | 20-40 | Pond5 is video-heavy — include motion and concept keywords. |
The trend is clear: platforms are increasingly favoring relevance over volume.
The Case for Fewer, Focused Keywords
Adobe Stock’s 2025 decision to cut the keyword limit from 50 to 25 sent a strong message: irrelevant keywords hurt more than they help.
Here’s why:
Search algorithm penalties. When you stuff 50 keywords and half of them are tangentially related, search algorithms notice. Your image may appear in more searches, but at lower positions. Buyers scroll past irrelevant results, which signals to the algorithm that your image isn’t a good match.
Buyer trust. A stock photo buyer searching for “minimalist Scandinavian kitchen” doesn’t want to see your image because you tagged it with “kitchen” alongside “tropical,” “beach,” and “sunset.” Irrelevant appearances erode trust in your portfolio.
Better conversion. When every keyword is genuinely relevant, buyers who find your image are more likely to download it. Higher conversion rates lead to better rankings over time.
The Case for More Keywords
That said, there are legitimate reasons to use more keywords:
Niche images with multiple valid interpretations. A photo of a woman working on a laptop at a coffee shop could legitimately be tagged with: remote work, freelancer, digital nomad, coffee shop, laptop, business, casual, lifestyle, millennial, workspace, cafe, independent — all genuinely relevant.
Cross-category appeal. Some images serve multiple markets. A sunset beach photo works for travel, wellness, backgrounds, screensavers, and motivational content.
Long-tail discovery. More keywords means more chances to match specific, low-competition search queries. “Golden retriever playing fetch autumn park” is a long-tail query that needs each of those specific keywords to match.
The Optimal Strategy: Quality-First Keywording
Based on contributor forums, platform guidelines, and our own data at Meita.ai, here’s the strategy that works best:
1. Start with Core Keywords (10-15)
These are the obvious, directly descriptive keywords. For a photo of a red sports car on a mountain road:
- red, sports car, mountain, road, driving, vehicle, luxury, speed, landscape, scenic
2. Add Context Keywords (5-10)
These describe the mood, style, and use case:
- adventure, freedom, travel, automotive, lifestyle, dramatic, winding road
3. Fill with Relevant Long-Tail Keywords (5-15)
These are the specific combinations that match niche searches:
- road trip, mountain driving, sports car exterior, luxury vehicle, scenic drive
4. Stop Before You Reach for Irrelevant Terms
If you find yourself adding “blue sky” to a photo where the sky is barely visible, or “nature” to a car photo — you’ve gone too far.
How AI Changes the Equation
Manually writing 30-50 relevant keywords per image is exhausting. This is where AI keywording tools fundamentally change the game.
Meita.ai analyzes each image individually and generates keywords that are:
- Visually accurate — based on what the AI actually sees in the image
- Contextually rich — including mood, style, and use case keywords
- Platform-optimized — you can set a target keyword count (e.g., 25 for Adobe, 50 for Shutterstock)
Configuring Keyword Count in Meita.ai
In Settings, you can fine-tune exactly how keywords are generated:
- Target Count — Set to 25, 35, or 50 depending on your target platform
- Force Limit — Hard-cap at your target to prevent overflow
- Minimum Count — Ensure the AI generates at least N keywords (useful for complex scenes)
- Force One Word Keywords — Split “sports car” into “sports” and “car” if your platform prefers single words
This means you can optimize for Adobe Stock (25 focused keywords) and Shutterstock (50 comprehensive keywords) from the same batch of images — just change the target and re-generate.
Platform-Specific Recommendations
Adobe Stock: 20-25 Keywords
Since the 2025 limit change, Adobe rewards precision. Use Meita.ai with target count set to 25 and Force Limit enabled. Every keyword should pass the “would a buyer searching this term want this image?” test.
Shutterstock: 35-50 Keywords
Shutterstock’s search engine benefits from comprehensive keywording. Set target to 45-50 and include long-tail variations. Shutterstock also weighs keyword order — put the most important keywords first.
Freepik: 25-35 Keywords
Freepik’s search is less sophisticated, so focused keywords outperform quantity. Target 30 keywords and prioritize specificity over breadth.
Multi-Platform Strategy
If you upload to multiple platforms, generate keywords once at 50 (for Shutterstock), then use Meita.ai’s Force Limit setting to trim to 25 for your Adobe Stock CSV export. One batch, multiple optimized outputs.
Key Takeaways
- There’s no universal “right” number — it depends on the platform and image complexity
- Relevance always beats quantity — 20 perfect keywords outperform 50 mediocre ones
- Use platform-specific targets — 25 for Adobe, 35-50 for Shutterstock and others
- AI tools eliminate the trade-off — generate the optimal count without manual effort
- Review and refine — even AI-generated keywords benefit from a quick human review
The keyword count debate will continue, but the trend is unmistakable: platforms reward quality metadata. Whether you write 25 or 50 keywords, make every single one count.
Ready to optimize your keyword strategy? Download Meita.ai and generate platform-specific keyword counts for every image in your portfolio.