I’d love to suggest functionality focused on turning existing B-roll libraries into ready-to-post social content with little to no manual editing. Use Case: We often work with large libraries of pre-shot B-roll (manufacturing, equipment, facilities, processes, etc.). In many cases, we don’t need narrative editing — we need high volumes of short, visually engaging social clips built automatically from that footage. Ideal Workflow: • Upload or select a folder / sequence of B-roll clips • Select a general style preset (ex: Industrial Hype, Clean Corporate, High Energy Social, etc.) • Select a general music genre or mood • System automatically assigns a different track to each generated video • Auto beat-sync cuts to music • Automatically apply transitions, speed ramps, and light effects based on style preset • Randomized or semi-random shot selection and ordering • Automatic vertical formatting (9:16) with safe center crop • Ability to set clip rules (ex: 2–4 shots per output, 1–2 seconds per shot) • Batch generate and export multiple variations from the same source media Key Difference from Current AI Clip Tools: Most AI clip tools focus on finding highlights, dialogue moments, or building narrative structure. This workflow is more like a “content volume generator” — focused on style, speed, and scale rather than story or semantic analysis. Goal: The goal would be to select a general look, feel, and music direction once, then allow the system to automatically generate many unique social clips by cycling through different music tracks, transitions, effects, and shot combinations without manual editing. Happy to provide sample footage or example outputs if helpful.
