Content Intelligence APIs

Fingerprint+ transforms video into structured, machine-readable intelligence.

By analyzing visual signals, dialogue, audio cues, and narrative context across every scene, the API generates semantic fingerprints and rich metadata that describe the content beyond traditional editorial tagging.

This includes content embeddings, mood signals, genres, keywords, language detection, and automatically generated multilingual synopses.

Content summaries provide concise, structured insights for complex or information-dense assets.

Emotion intelligence reveals how content evolves across time, scenes, and narrative structures.

Thumbnails are among the most powerful decision triggers in streaming interfaces.

The JIT Thumbnails API enables platforms to generate thumbnails dynamically based on scene-level AI analysis rather than relying on static artwork or manual frame selection.

Thumbnails can be tailored to reflect specific moments, characters, moods, and visual presentation requirements.

Short-form video assets have become a core driver of discovery, engagement, and monetization across modern streaming and mobile-first environments.

The JIT Clips API transforms clip creation from a manual editorial task into an intelligent, AI-driven system.

Instead of manually browsing timelines and cutting scenes, platforms can dynamically generate clips aligned with narrative structure, emotional tone, character presence, visual quality, and content suitability requirements.

Clips evolve from simple excerpts into decision-ready assets enriched with contextual intelligence.

Viewer experience is shaped not only by content, but by how seamlessly playback adapts to narrative structure.

The Markers API automatically detects structural content segments such as intros, recaps, previews, and end credits with high temporal precision.

Instead of relying on manual tagging or editorial workflows, platforms gain a scalable intelligence layer that enables frictionless playback experiences and binge-optimized viewing flows.

Advertising effectiveness is shaped not only by placement, but by contextual relevance and viewer perception.

The Contextual Ad-Break API identifies advertising opportunities by combining scene-level structure, emotional dynamics, semantic understanding, and content suitability signals.

Instead of treating ad breaks as purely temporal events, placements become narrative-aware and context-driven.

The Content Safety API automatically detects sensitive or potentially inappropriate content in video assets.

By analyzing dialogue, audio signals, and visual frames, the API identifies profanity in speech and nudity in visuals, enabling platforms to enforce editorial guidelines, parental controls, and brand safety policies at scale.

The API returns precise timestamps and confidence scores, allowing systems to automatically flag, filter, or restrict content segments.