AI metadata generation for stock photos, cutting manual keywording for contributors.
Product memo
SendStock AI targets microstock contributors who struggle with time-consuming metadata. It removes the bottleneck of manual keywording by generating titles, descriptions, and keywords with AI, including batch processing and a local AI model. This approach helps contributors increase uploads and sales without sacrificing creative time.
For who
Stock photo contributors and creators
Solves what
Automates metadata generation for stock image uploads, ensuring compliance and sales optimization.
- AI-powered metadata generation
- Batch processing up to 500 images
- Local AI model for unlimited use
In their own words
AI Metadata Generator
Generate titles, descriptions & keywords that sell. Batch process 500+ images in one click. Free for Adobe Stock, Shutterstock & more.
Commercial cues
Model
hybrid
Free tier
Yes
Trial
Available
Pricing Strategy
- • A free tier offers 100 requests, driving adoption for new stock contributors.
- • The Go Pro plan bundles 300 AI credits monthly, serving active users.
- • One-time credit packs add flexibility for specific AI tasks beyond monthly limits.
Operator context
Operating setup
Founded
Jun 2025
Platform
Web app
Audience
Creators
Social footprint
Tech stack
Market demand
SendStock AI keyword demand
5 keywords
Market demand is Starter-tier market intelligence.
Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Solo Buildable
About SendStock AI Expand
SendStock AI provides an AI-powered product for stock photo contributors, automating the often-tedious process of generating metadata. It helps creators quickly produce titles, descriptions, and keywords for their images, ensuring compliance with platform requirements and optimizing visibility for sales.
The tool includes batch processing and a local AI model to simplify workflows, allowing contributors to focus more on creation and less on administrative tasks. This helps microstock contributors scale their uploads efficiently across platforms such as Adobe Stock and Shutterstock.