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Marketing & Sales · Framework

Viral Clipper Automation (n8n Workflow)

Blueprint for automating split-screen short-form video generation using n8n and AI

From the Xiry library · Updated 11 October 2026

An automated n8n pipeline blueprint designed to turn long-form YouTube podcasts into vertical short-form videos. It extracts audio, generates timestamped transcripts using WhisperX, uses an LLM agent to find viral segments, and renders split-screen clips with subtitles and gameplay footage via json2video.

The framework

Pipeline (from tweet + workflow diagram):

  • Input: any YouTube video/podcast URL
  • AI Content Clipper Agent (chat): analyzes transcript to find viral moments/key moments, renders short-form clips of one or more specific timestamps; nodes: When chat message received, AI Agent, Anthropic Chat Model, Simple Memory, Video Transcript Tool, Video Generation Tool
  • Transcript Generation Chain: Webhook (Transcript) → Create temp folder (Google Drive: create folder, set share perms) → Download mp3 from YouTube (Content Clipper API) → Upload audio → Generate Timestamped Transcripts (victor-upmeet/whisperx on Replicate) → Forward Replicate Response → Clean Up (delete temp folder)
  • Video Rendering Chain: Webhook (Video Generation) → Create temp folder → Download video clip (Content Clipper API) → Upload clip → Select random background clip from a clips folder (list files, aggregate, pick random) → Create Render Object & Start Rendering (json2video API) → Check Rendering Progress (poll status with If + Wait loop) → Upload the video (download + upload) → Clean Up (delete temp folder)
  • Resources: Content Clipper API (unlimited downloads); YouTube Video Clipper (Content Clipper, up to 200 clips/mo); transcript model victor-upmeet/whisperx on Replicate; video rendering via json2video API
  • Claimed math: 3 videos/day = 90/month; ~150K views/video = 13.5M monthly views; replaces 4-6 hours of manual editing per video with ~5 minutes

What it's for

  • Repurpose long-form YouTube podcasts into vertical clips for TikTok and YouTube Shorts
  • Automate split-screen video production with gameplay backgrounds and dynamic captions
  • Identify engaging moments in long interview transcripts using an LLM agent

Key points

  • AI agent setup using Anthropic models to analyze transcripts for viral hooks
  • Timestamped transcription pipeline using WhisperX hosted on Replicate
  • Automated audio and video segment extraction via Content Clipper API
  • Split-screen layout rendering with random gameplay background clips using json2video
  • Automated polling and asset cleanup on Google Drive to manage temporary files

Pricing

Free. Workflow blueprint is free; requires API credits for Replicate, Anthropic, and json2video

Details

Type
Framework
Category
Marketing & Sales
Topic
Video Automation
Open source
No
Platforms
Self-hosted, Web
For
Faceless channel creators, social media automators, and video marketers
Alternative to
OpusClip, Klap, CapCut
Tags
n8n, whisperx, json2video, shorts, automation, video editing, ai agents

Why it was saved

  • @paoloanzn, 7 June 2025: Full end-to-end pipeline someone can rebuild or adapt: AI-driven viral moment detection, auto timestamped clipping, background gameplay mixing, subtitle generation and rendering, all with zero manual editing.

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