Content Machine

What It Does

Content Machine is a CLI tool that generates short-form videos (TikTok, Reels, Shorts) from a topic in 4 automated stages:

The 4-stage pipeline: topic → script → audio → visuals → video

1. Script Generation - AI writes a script with hooks, scenes, and visual directions
2. Audio Synthesis - Local TTS generates speech with word-level timestamps
3. Visual Matching - Stock footage is matched to each scene via keyword extraction
4. Video Rendering - Remotion composites everything with TikTok-style captions

# Generate a complete video from a topic
cm generate "5 productivity hacks for developers" --archetype listicle

# Or run stages independently
cm script "topic" --archetype howto
cm audio ./script.json --tts-engine kokoro
cm visuals ./audio-manifest.json --provider pexels
cm render ./visuals-manifest.json --template tiktok-captions

Architecture

content-machine/
├── src/
│   ├── cli/           # 24+ commands (generate, script, audio, etc.)
│   ├── pipelines/     # Stage orchestration
│   ├── llm/           # OpenAI, Anthropic, Google AI adapters
│   ├── audio/         # Kokoro TTS + Whisper ASR
│   ├── visuals/       # Pexels, gameplay clips
│   ├── render/        # Remotion compositions
│   └── schemas/       # Zod validation for all artifacts
├── remotion/          # Video templates and caption components
└── tests/             # 193 test files, 1400+ tests

Technical Highlights

Local Audio Pipeline (No API Costs)

• TTS: Kokoro-js runs locally on quantized ONNX models (11 voices)
• ASR: Whisper.cpp generates word-level timestamps
• Reconciliation: Custom algorithm realigns Whisper output to original script for 4.4x better sync accuracy

Script Archetypes

Six built-in content formats:

• listicle - “5 things you didn’t know about…”
• versus - “X vs Y - which is better?”
• howto - Step-by-step tutorials
• myth - “Myth vs Reality”
• story - Narrative format
• hot-take - Opinion pieces

Video Templates

// Built-in Remotion templates
const templates = [
  'tiktok-captions',    // Word-highlighted captions
  'capcut',             // CapCut style
  'hormozi',            // Alex Hormozi style
  'karaoke',            // Karaoke-style highlights
  'gameplay-top',       // Split-screen with gameplay
  'gameplay-bottom',    // Gameplay on bottom half
];

Quality Gates

Every video is scored before export:

• Caption sync accuracy (target: 99%+)
• Audio quality rating
• Visual coverage validation
• Automated retry on quality failures

Research Integration

Optional research stage pulls from multiple sources:

cm research "AI agents" --sources hackernews,reddit,tavily --time-range week

• Hacker News trending
• Reddit discussions
• Tavily web search
• Brave Search API

Research findings are injected as evidence into scripts.

Current Status

v0.2.2 - Early development, actively maintained

Working:

• Full end-to-end pipeline
• All 1,400+ tests passing
• NPM package published
• Demo videos generated

Roadmap:

• Review queue UI
• Multi-platform scheduling
• Analytics dashboard
• Trend detection via MCP

Demo Videos

Split-Screen Gameplay + Content (Brainrot Template)

Minecraft gameplay (top) + Subway Surfers (bottom) with AI-generated script overlay

Subway Surfers-Style with TikTok Captions

Full-screen gameplay with word-highlighted TikTok-style captions

Latest News Listicle

Auto-generated listicle with numbered badges, TikTok chunk captions, and Pexels stock footage

Why CLI-First?

Export-first design means:

• Human review before publishing
• CI/CD integration for batch generation
• No platform API verification required
• Full control over output quality