AI Media Quality Control

An AI system that automates the video quality-control process — detecting anomalies across language, visuals, and audio, with timestamp-based reports.

Problem

• Video QC was manual — slow, costly, and hard to scale

• Compliance accuracy depended on manual review

Solution

• AI system to detect anomalies across a title

• Linguistic analysis

• Visual inspection

• Audio evaluation

• Timestamp-based anomaly reports

Impact

• 70% QC time reduction

• Reduced publishing delays

• 85% compliance accuracy