AI TAGGING
AI TAGGING
Auto-Tag Objects, People, Scenes & Actions for Faster Search and Safer Moderation
Mediafirewall AI’s AI Tagging analyzes images and videos to label objects, people, scenes, and actions. It creates rich metadata for better search, organization, and automated workflows.Tags power content discovery, policy checks, and real-time moderation across platforms. Boost accuracy, cut manual effort, and keep libraries clean and compliant.
Supported Moderation
Every image, video, or text is checked instantly no risks slip through.
What is AI Tagging?
Organize and Protect with Smart Tags
AI Tagging adds intelligent labels to every piece of content, enabling faster moderation, precise categorization, and more relevan... Read more
Automated Tagging with Precision
Automatically assign accurate content tags—such as promotional, explicit, or sensitive—at scale. This ensures inappropriate conten... Read more
Safeguard Young Audiences
AI-generated tags help identify age-sensitive material, enabling platforms to restrict or flag content to ensure children and teen... Read more
Enhance Trust Through Transparency
By tagging and classifying content proactively, your platform gains control over visibility, relevance, and compliance—bolstering ... Read more
How our Moderation Works
AI scans content instantly to detect and block nudity and explicit content.
Why use MediaFirewall.ai's AI Tagging?
Simply put, our filter is the best value for money out there
Operational Efficiency at Scale
Automate AI-driven tagging across millions of uploads in real-time. Reduce depen... Read more
Real-Time Tagging Across Streams
Classify and label live content—including visuals, text, and audio—without delay... Read more
Seamless Platform Integration
Deploy tagging via API or SDK with customizable labels by category, geography, o... Read more
Custom Rules for Smart Enforcement
Apply dynamic tagging policies across different content types and user segments.... Read more
AI Tagging FAQ
AI Tagging is an automated system that labels objects, people, scenes, and actions in images/videos to improve search, organization, and safety checks.
By adding rich metadata (e.g., room=kitchen, object=microwave, action=cooking), users can find content faster and get better recommendations.
Yes. Tags highlight risky contexts and send items to the right safety modules (e.g., nudity, violence, watermark, deepfake) for pre-visibility checks.
Yes. It runs pre-publish, and rechecks on edits, thumbnail changes, and re-uploads, so metadata stays accurate.
Models use visual cues, scene context, and temporal signals; tags include confidence scores so you can set thresholds by policy.
es. Tags are mapped to a standard taxonomy and can be exposed in multiple languages for global search and SEO
AI Tagging returns JSON tags and evidence snapshots that plug into your CMS, DAM, data lake, or BI tools.
We provide boolean outcomes, tag lists, timestamps, and reasons in audit-ready logs, aligned with platform and regional standards.