AICUT

AICUT is a specialized AI-native video repurposing platform designed for the 2026 creator economy. Its technical architecture leverages Large Language Models (LLMs) for semantic analysis of long-form video content to identify high-retention 'viral' segments. The system utilizes advanced computer vision for automatic face-tracking and framing, ensuring that subjects remain centered during the transition from 16:9 to 9:16 aspect ratios. AICUT's rendering engine is optimized for high-speed cloud processing, allowing users to generate localized, captioned, and edited short-form videos in under five minutes. Positioned as a direct competitor to OpusClip and Munch, AICUT distinguishes itself through its granular 'Viral Score' metric and multi-language support (50+ languages), catering to global digital marketing agencies and independent creators. The platform integrates a dynamic b-roll insertion engine that uses semantic search to match spoken keywords with relevant visual assets, significantly reducing manual editing overhead while maximizing viewer engagement across TikTok, Instagram Reels, and YouTube Shorts.