Technical Specification
Adobe Stock vs. Shutterstock Metadata: Complete Comparison
When submitting commercial imagery, vectors, and video footage across both Adobe Stock and Shutterstock, managing metadata formatting differences is the single most common cause of CSV upload failure.
Field-by-Field Metadata Schema Comparison
| Schema Field | Adobe Stock | Shutterstock |
|---|---|---|
| Filename Column | Filename | Filename |
| Title / Description | Title (Max 200 chars) | Description (Min 5 words, max 200 chars) |
| Keywords Column | Keywords (Max 49, comma-separated) | Keywords (Max 50, comma-separated) |
| Category Column | Category (Numeric ID 1–21) | Categories (Up to 2 text names) |
| Release Column | Releases (Optional) | Releases (Optional) |
Solving Platform Differences Automatically
Metadata World’s generation engine analyzes your visual assets once and creates both schemas in memory, giving you 1-click export buttons for both Adobe Stock and Shutterstock CSVs.
Frequently Asked Questions
What is the difference between an Adobe Stock title and Shutterstock description?
Adobe Stock uses a 'Title' field (up to 200 characters) as both buyer headline and search description. Shutterstock requires a 'Description' field (min 5 words, max 200 characters) that acts as the primary search text.
How do category assignments differ between Adobe Stock and Shutterstock?
Adobe Stock requires a single numeric ID (1 to 21, e.g. 3 for Buildings and Architecture), whereas Shutterstock uses textual category names and allows up to two categories separated by a pipe delimiter (e.g. 'Buildings|Business').
How are model releases linked in Adobe Stock vs Shutterstock CSVs?
Adobe Stock accepts exact release file names or leave blank if uploading via web UI. Shutterstock uses a dedicated release column with exact document IDs.
How does generative AI disclosure differ?
Adobe Stock requires selecting the 'Created using generative AI tools' flag in portal or CSV. Shutterstock requires selecting AI creation type and technical metadata tagging.
Can I use one CSV file for both platforms?
No, their column header names and category values differ. However, Metadata World allows you to generate both files simultaneously from one visual analysis session.