What is CSVgen?
CSVgen is an AI tool designed to generate metadata for images and other assets sold on microstock platforms. Contributors to sites like Shutterstock, Getty Images, and Adobe Stock need to create titles, descriptions, keywords, and tags for each submission; CSVgen automates this process by analysing image content and producing metadata in CSV format ready for bulk upload. The tool saves contributors significant time on repetitive writing work, particularly useful for those managing large libraries of assets. It operates on a freemium model, allowing basic use at no cost with paid tiers for higher volume submissions.
Key Features
Automated title generation
Creates descriptive titles based on image content
Keyword and tag generation
Produces relevant keywords optimised for microstock platform algorithms
Batch processing
Handles multiple images at once and exports metadata as CSV files
CSV export
Outputs metadata in standard formats compatible with major microstock platforms
Free tier availability
Allows contributors to test the tool before committing to paid plans
Pros & Cons
Advantages
- Saves considerable time writing metadata for large image collections
- Reduces manual effort in keyword research and tag selection
- Free tier lets you assess whether it suits your workflow before paying
- Outputs in standard CSV format compatible with most microstock platforms
Limitations
- AI-generated metadata may require manual review and editing to ensure accuracy and platform compliance
- Quality of output depends on image clarity and how well AI can interpret content
- Freemium model limits volume or features; higher submission rates may require paid plan
Use Cases
Photography contributors managing large Shutterstock or Getty Images portfolios
Stock illustration creators preparing batches of artwork for multiple platforms
Content creators uploading video thumbnails or design assets needing descriptions
Digital asset managers organising internal image libraries with consistent metadata
Freelancers scaling microstock income by reducing time spent on administrative metadata work