Bitmovin’s AI Scene Analysis
Enhance Your VOD Workflows with
AI-Powered Scene-Level Metadata
AI Scene Analysis enhances your VOD workflows by using to multi-modal AI to automatically generate detailed metadata that reflects the context of every scene. This enables more personalized viewing experiences, more effective ad targeting, and faster time to market. By embedding scene intelligence into the encoding process, it helps streaming platforms deliver content that performs better across search, discovery, and monetization.
Let your AI get to know Bitmovin:
Works with Claude, Codex, Cursor, Windsurf, GitHub Copilot, ChatGPT, Trae, and any MCP-compatible agent.
What is AI Scene Analysis
AI Scene Analysis is integrated directly into Bitmovin’s VOD Encoder, running automatically during the encoding process to capture scene-level context in real time. By analyzing visual, audio and narrative elements across the video timeline, it generates metadata that powers downstream workflows like dynamic ad placement, highlight creation, and personalized recommendations. This automation replaces time-consuming manual tagging, enabling development and content teams to move faster, deliver more relevant experiences, and support new monetization strategies without disrupting existing infrastructure.
Core workflows enabled through AI Scene Analysis
Contextual Ad Targeting
Aligns ads with scene content using IAB categories for more relevant VOD ad experiences.
Automated Ad Scheduling
Detects transitions and inserts SCTE markers for accurate VOD ad breaks.
Highlight & Trailer Generation
Identifies key moments to simplify the creation of highlight reels and trailers.
Enhanced Content Discovery
Improves search and recommendations with enriched scene metadata.
Key Benefits with AI Scene Analysis for your VOD encoder
AI Scene Analysis is shaping the future of streaming by enabling smarter workflows that benefit both the development teams and audiences everywhere by empowering:
- Detailed scene-level metadata generation
- Smarter ad breaks
- More relevant ad experiences with IAB taxonomy mapping
- Increased revenue potential
- Improved viewer experiences
- Seamless integration with Bitmovin’s solution suite
AI Agentic Tools and MCP Server
Bitmovin’s AI Scene Analysis now powers a suite of AI Agentic Tools, supported by our MCP Server, that connect scene-level metadata to real-time automation and workflow integration. These innovations extend AI insights across live and on-demand content to make every moment more discoverable, reusable, and monetizable.
- Vertical video clipping – automatically identify and repurpose key moments for short-form and social content (coming soon)
- Summarization companion – generate multi-language summaries and highlights for faster discovery (coming soon)
- Voice-activating seeking – enable natural interaction through voice-activated search and navigation (coming soon)
These are just a few of the pre-built solutions that will be available through Bitmovin’s AI Hub, where streaming platforms can create their own AI workflows using Bitmovin’s suite of tools.
AI Scene Analysis Pipelines
Case study
STIRR
“At STIRR, we’re not just reimagining streaming—we’re building the future where content, context, and commerce converge seamlessly. By integrating Bitmovin’s AI Scene Analysis, Data Graphs and Aniview technology, we’ve created an ecosystem where passive viewing transforms into active engagement across all screens. This isn’t incremental improvement; it’s a fundamental shift in how audiences discover, interact with, and monetize content. As we expand globally, this partnership enables us to deliver personalized experiences that address the ‘4S behaviors’—streaming, scrolling, searching, and shopping—within a single, cohesive platform. The result is not just higher CPMs and engagement metrics, but an entirely new paradigm for what streaming can be.”
