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AI-powered image metadata generation with descriptions, keywords, categories, batch processing and local AI support. mOck is an AI-assisted metadata workflow designed for Shutterstock contributors. Generate accurate descriptions, relevant keywords and categories for uploaded images directly from the Shutterstock Contributor interface. Process individual images or entire batches while keeping control over what gets generated and saved. Features include: - AI-assisted image descriptions and relevant keywords - Intelligent Shutterstock category selection - Optional multi-category support - Batch processing for multiple images - Process selected images or all eligible images - Automatically skip assets already marked Ready to submit - Auto Save option - Retry and batch controls - Support for Gemini and compatible AI endpoints - Local AI support through Ollama and LM Studio - 9Router support with user-configured local or remote endpoints - User-configurable metadata generation settings - Local extension settings - No XLII Studio intermediary backend required mOck is designed to reduce repetitive metadata work while keeping contributors in control of their submission workflow. Privacy focused XLII Studio does not operate an intermediary backend for mOck. Extension settings are stored locally in your browser. When using an AI provider, required image content is sent directly to the provider or endpoint you configure. mOck is an independent productivity tool and is not affiliated with, sponsored by, or endorsed by Shutterstock.
Aug 1, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.