Intelligent video moderation for user-generated content

Video is broken into frames and the audio track is transcribed. ML models analyze both visual and spoken content. Platform-specific rules filter based on your policies. An AI layer handles context-dependent decisions. Human reviewers resolve remaining edge cases.

No single model catches everything in video, which is why Lasso uses four layers. ML detection handles clear violations. Custom rules, AI context analysis, and human review catch what a single classifier would miss. Lasso's full pipeline typically automates >99.9% of moderation work.

ML detection processes video frames in real time with no delay for uploaders. Live stream analysis runs concurrently as the stream progresses. Content flagged for human review is queued instantly while safe content passes through.

Yes. Lasso analyzes live streams and transcribes audio in near real-time. Celebrity faces are matched, visual content classified, and spoken violations detected as the stream progresses. Your rules apply immediately to any flagged content.

For edge cases, yes. Lasso automates the vast majority of video moderation decisions. Human reviewers only see video content that genuinely needs judgment, complete with frame captures, transcript, and AI reasoning. Each decision trains the system.

Every platform defines what's acceptable differently. Lasso's rule engine lets you configure thresholds for visual content, audio profanity, age requirements, and automated actions per video type. A fight scene passes on a gaming platform but fails on a kids' app.

Yes. The audio track is transcribed and moderated as text. Spoken threats, PII, profanity, and off-platform solicitation are all caught. Visual moderation and audio moderation run in parallel on every video.

Yes. The system analyzes temporal consistency and facial motion artifacts to flag synthetic celebrity content. Flagged content enters your review queue with full context.

An API returns a classification score per frame. A platform adds rule enforcement, context-aware AI, human review workflows, audio transcription, and a feedback loop that improves over time. Lasso is a platform: detection, decision logic, review tools, and learning system in one product.

Lasso runs five detection capabilities on every video: AI video moderation for frame-by-frame visual classification, face detection for age and gender, face recognition for identity matching, celebrity detection for public figures, and audio transcription for spoken content moderation.

99.9% of decisions are fully automated. ML detection handles clear violations at 99%+ accuracy. The four-layer pipeline handles context-dependent video content through rules, AI, and human review. Lasso holds a 4.9 star rating on G2.

Yes. GDPR-compliant data handling and built-in DSA compliance reports are included. Every video moderation decision is logged for audit trails. Data retention is configurable per your requirements.