The Creator’s Playbook: Automation Pipeline for Viral Clips
A visual walkthrough of AceClip’s end-to-end pipeline—from ingest to intelligent cropping and delivery— showing how AI turns long-form content into platform-ready clips.
Pipeline Overview
AceClip runs a GPU-accelerated pipeline to extract, understand, and render the best social-ready moments from any long-form video. Each stage compounds quality: fast ingest, deep speech + vision analysis, intelligent framing, and polished delivery.
Input & Download
URLs or uploads flow into multi-connection downloads to capture source in the highest available quality.
Transcription & Diarization
Word-level timestamps plus speaker detection create an aligned script for semantic search and captions.
Face & Scene Tracking
Vision models map faces and motion, guiding framing so active speakers stay centered in 9:16.
LLM Clip Selection
Language models score hooks, questions, and quotables, then assemble a shortlist of viral-worthy beats.
Step-by-Step Visuals
Clip discovery and scoring
Dynamic 16:9 → 9:16 reframing
Captioning and styling with timing from transcripts
Parallel rendering with motion-safe overlays
Asset packaging for instant delivery
Quality, Speed, Delivery
~20 min per hour
GPU path keeps throughput high while preserving caption accuracy and sync.
Speaker-aware framing
Keeps the active voice on-screen, even in multi-speaker conversations.
Platform-ready clips
Captions, ratios, thumbnails, and metadata aligned for Shorts, Reels, and TikTok.
