Available for macOS & Windows

Download ContentLead Desktop

Native desktop editing with local rendering and hardware-accelerated performance — free with your ContentLead subscription.

macOS

v1.0.49 · 552927888

Windows

v1.0.42 · 356 MB

Why use the desktop app?

Native Performance

Hardware-accelerated rendering with buttery-smooth timeline scrubbing.

Local File Access

Drag and drop files directly from your computer. No upload wait.

Works Offline

Edit projects without internet. Changes sync when you reconnect.

GPU Rendering

Export videos using your own hardware. No cloud queues.

System Requirements

macOS

  • macOS 13 Ventura or later
  • Apple Silicon (M1/M2/M3/M4/M5)
  • 8 GB RAM minimum (16 GB recommended)
  • 1 GB free disk space

Windows

  • Windows 10 or later (64-bit)
  • Intel or AMD x64 processor
  • 8 GB RAM minimum (16 GB recommended)
  • 2 GB free disk space
Powered by GitHub Copilot CLI

AI Skills

ContentLead Desktop is fully controllable by AI agents via a local HTTP API. Install these skills to let GitHub Copilot CLI edit videos, create scenes, research trends, and publish — all from your terminal.

View full Skills CatalogFollow the AI Editing setup guide

Install Skills

🐙GitHub Copilot CLI
Copilot CLI Skills Docs

Install all skills

$git clone https://github.com/Shubham-vish/contentlead.git && copilot skill add ./contentlead/skills

Install a single skill

$copilot skill add https://raw.githubusercontent.com/Shubham-vish/contentlead/main/skills/contentlead/SKILL.md
⚡GitHub CLI (gh)
gh skill Docs

Install from repo

$gh skill install Shubham-vish/contentlead
🤖Claude Code
Claude Code Docs

Clone and add skills directory

$git clone https://github.com/Shubham-vish/contentlead.git && cp -r ./contentlead/skills/* ~/.claude/skills/
✦Cursor
Cursor Rules Docs

Clone and copy to .cursor/rules

$git clone https://github.com/Shubham-vish/contentlead.git && cp -r ./contentlead/skills/ .cursor/skills/

Skills follow the open Agent Skills (SKILL.md) standard — portable across AI coding tools. Run copilot skill list to verify installed skills.

contentleadEditor Control

Master router for the video editor API. Load this first to discover all editing commands — add scenes, text, media, manage tracks, and export.

ai-clippingAI Automation

Extract viral short-form clips from long-form video. AI-powered transcript analysis, virality scoring, vertical reframing, and batch clip creation.

remotionScene Creation

Create custom Remotion scenes — 30+ animation helpers, 40+ shared components, camera engine, effects, charts, text animations, transitions, and captions.

content-directionCreative

Creative strategy, storyboarding, narrative arcs, SFX placement, audio layering, track management, and content planning.

content-inspirationResearch

Research trending content, analyze competitors, search across platforms (Instagram, YouTube, Twitter, Reddit, tech news), and transcribe videos.

content-publishingPublishing

End-to-end publishing — create content, set metadata, upload video, configure channels, set CTA, publish to Instagram, YouTube, and LinkedIn.

prepwithaiAsset Generation

AI-powered asset creation — image generation & search, text generation, TTS speech synthesis, voice cloning, SFX search, and asset hosting.

script-evaluatorAI Automation

Evaluate scripts for viral potential, write viral scripts from scratch, and improve existing scripts using an 8-signal virality framework.

testingQuality

Agent-run testing for the desktop editor. The AI executes commands, inspects state, captures screenshots, and judges pass/fail.

getting-startedSetup

Setup, authentication, discovery, and your first commands. Start here to connect the AI agent to your running desktop app.

orchestration-e2ePipeline

Master end-to-end workflow — from raw materials to finished rendered video. 8-phase pipeline with formal edit plan and tiered QA.

overviewReference

Entry point for all editor capabilities organized by category. Load this for a high-level index, then drill into specific skills.

How It Works

1

Launch ContentLead Desktop. The app starts a local API server automatically.

2

Open GitHub Copilot CLI in your terminal. Ask it to load the contentlead skill.

3

Tell the AI what you want — "Add a ken burns zoom on my hero image" — and it handles the rest.

Release notes

Highlights

  • Replace Voice keeps replacement audio tightly aligned to your original timing.
  • Optional on-device Hindi word matching for more accurate voice replacement — nothing is uploaded.
  • Extract just the selected speech from a clip for faster voice work.
  • A more reliable local render pipeline for saved and packaged projects.

Voice replacement

  • •New timing-alignment pipeline matches the replacement voice to the original speech timing so lip-sync and pacing stay intact.
  • •Optional local Hindi word matching runs entirely on your machine after a one-time setup — your speech is never sent anywhere.
  • •You can now extract only the selected portion of speech from a clip before replacing the voice.

Rendering & projects

  • •Local media is resolved and cached more reliably when rendering saved or packaged projects.
  • •Required local assets now fail fast with a clear message instead of silently rendering as missing.
  • •ffmpeg/ffprobe for the new audio tools always use the binaries bundled with the app, so rendering works even without a system install.