Use Cases
8 analysis modes, each with specialized scoring frameworks. Pick the one that fits your workflow.
Context
General-purpose video understanding. Scene descriptions, transcript, brands, on-screen text, and metadata structured for LLMs.
Example: Feed video context to ChatGPT, Claude, or custom agents so they can reason about visual content.
Editor
Frame-by-frame breakdown for AI video editing. Sub-second timeline mapping, cut points, zoom cues, caption timing, B-roll windows, and pacing data.
Example: Feed editing data to AI video agents for automated highlight reels, caption generation, and multi-pass editing workflows.
Analysis
Technical video quality metrics. Resolution, framerate, bitrate, audio analysis, color grading assessment, and production quality scores.
Example: Automate QA checks on video assets before publishing to your platform.
Ad Analysis
Advertising effectiveness scoring. Message clarity, persuasion strength, compliance flags, brand safety, and creative benchmarks.
Example: Score ad creatives before spend to predict engagement and catch compliance issues.
E-commerce
Product video analysis. Product visibility scoring, purchase psychology triggers, trust signals, and conversion optimization recommendations.
Example: Analyze product demos and unboxings to optimize listing videos for conversion.
Training
Educational content assessment. Knowledge transfer scoring, engagement analysis, pacing metrics, and learning outcome predictions.
Example: Evaluate training videos for clarity and retention before rolling them out to teams.
UGC
User-generated content scoring. Authenticity metrics, creator quality signals, brand alignment, and repurposing recommendations.
Example: Screen UGC submissions at scale and identify which ones are worth licensing or amplifying.
Competitor
Competitive video intelligence. Strategy extraction, messaging comparison, production benchmarks, and positioning analysis.
Example: Monitor competitor video strategies and get structured intelligence your team can act on.