What Makes a Great Adobe Stock Metadata Generator
The microstock industry has a metadata crisis. Most contributors rely on basic image recognition tools that tag what they see — 'woman laptop office.' But buyers search for intent-driven phrases: 'female entrepreneur remote work startup founder.' That gap is where earnings are lost.
The fundamental limitation of image-recognition-based keywording is that it answers the wrong question. It asks 'what is in this image?' when buyers ask 'what project am I building with this image?' CyberStock bridges that gap with real purchase query data.
Key Features to Evaluate
- Data source: Is it trained on buyer searches or just image recognition?
- Processing speed: Can it handle 1,000+ files without slowing down?
- Platform compliance: Does it know Adobe Stock, Shutterstock, and Getty rules?
- Selling Score: Can it predict earnings before you upload?
- Distribution: Does it include FTP upload to multiple agencies?
- Pricing: One-time credits vs monthly subscription?
| Feature | CyberStock | Generic AI Tools |
|---|---|---|
| Data source | 50M+ real buyer searches | Image recognition only |
| Speed | ~1.33s/file | 2.5-8s/file |
| Selling Score | Yes | No |
| Platform compliance | All platforms | Manual verification |
| Batch size | 10,000+ files | 500-5,000 |
| FTP distribution | 0% commission | None |
| Pricing | One-time credits | Monthly subscription |
CyberStock: Buyer-Data AI Keywording
The fundamental limitation of image-recognition-based keywording is that it answers the wrong question. It asks 'what is in this image?' when buyers ask 'what project am I building with this image?' CyberStock bridges that gap with real purchase query data.
Buyer-Intent Keywords
50M+ real purchase queries as training data
1.33s Per File
10,000 photos in a single session
Selling Score
Predict earnings before upload
CyberPusher FTP
0% commission distribution
Real Contributor Results
The compound effect of better metadata is significant. Each re-keyworded file that moves from page 10 to page 1 on Adobe Stock generates incremental revenue for years. A one-time metadata investment produces ongoing passive income.
Stock photo earnings follow a power law. The top 10% of files generate 60-80% of total revenue. The Selling Score feature identifies which files have the highest earning potential before upload, letting you prioritize your strongest content.
Top AI Keywording Tools Ranked
Best for: Professional contributors, studios, AI creators · Speed: ~1.33s/file · Pricing: From $12.99 one-time
Pros
- ✔ 50M+ real buyer search queries
- ✔ 1.33s/file (6x faster than PhotoTag)
- ✔ Selling Score pre-upload prediction
- ✔ CyberPusher FTP 0% commission
- ✔ 10,000+ file batch
- ✔ 15+ languages
- ✔ Credits never expire
Cons
- ✘ Newer platform
- ✘ No mobile app yet
Best for: Getty / iStock specialists · Speed: ~2.5s/file · Pricing: $59/month
Pros
- ✔ Clean interface
- ✔ Decent Getty quality
- ✔ Photo + video
Cons
- ✘ $59/month subscription
- ✘ No Selling Score
- ✘ Getty only
- ✘ ~2.5s/file
- ✘ No FTP
Best for: Hobbyists with small portfolios · Speed: ~8s/file · Pricing: $59 one-time
Pros
- ✔ One-time purchase
- ✔ Simple interface
Cons
- ✘ ~8s/file (slowest)
- ✘ No Selling Score
- ✘ No FTP
- ✘ 1,000 file limit
Best for: Small portfolios · Speed: Varies · Pricing: Subscription
Pros
- ✔ Major platform support
- ✔ Simple UI
Cons
- ✘ Limited batch
- ✘ No buyer data
- ✘ Subscription
Best for: Beginners · Speed: Varies · Pricing: Free
Pros
- ✔ Free
- ✔ Integrated in upload
Cons
- ✘ Basic image recognition
- ✘ Generic keywords
- ✘ No cross-platform
Frequently Asked Questions
How does CyberStock generate keywords differently?
Most tools analyze images visually. CyberStock cross-references visual analysis against 50 million real buyer purchase queries from Adobe Stock, Shutterstock, and Getty. The result: keywords with verified commercial demand.
Which stock marketplaces does CyberStock support?
Adobe Stock, Shutterstock, Getty Images, iStock, Pond5, 123RF, Depositphotos, and custom FTP endpoints. Compliance rules for each platform are built in.
How fast is processing?
Approximately 1.33 seconds per file. A 1,000-photo batch completes in about 22 minutes. Up to 10,000 files per session.
Does it work for video?
Yes. Photos, 4K video, vectors, and illustrations. Each file type gets optimized metadata for its format.
What is the Selling Score?
A pre-upload earnings prediction based on current market demand, competition, and buyer trends. Prioritize your strongest content before uploading.
Related Guides
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AI keywords trained on 50M+ real buyer searches. Adobe Stock, Shutterstock, Getty. See the difference in your first batch.
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