This project is a mobile-first YouTube automation system designed to build, operate, and scale automated YouTube channels efficiently. It automates content creation, uploads, scheduling, and performance tracking while maintaining platform-safe behavior.
Created by Appilot, built to showcase our approach to Automation!
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Running YouTube channels manually is time-intensive and difficult to scale, especially for faceless or multi-channel setups. This system automates the entire YouTube workflow—from content generation and video assembly to posting, optimization, and analytics—allowing creators and businesses to scale channels consistently without direct on-camera involvement.
- Enables faceless and hands-off YouTube channel operations
- Saves time by automating repetitive production and posting tasks
- Supports consistent uploads without burnout
- Scales safely across niches, channels, and formats
| Feature | Description |
|---|---|
| Automated Channel Setup | Initializes channels with predefined branding, metadata, and structure. |
| Video Content Automation | Generates videos using scripts, voice-overs, visuals, and templates. |
| Shorts & Long-Form Support | Automates both YouTube Shorts and standard video formats. |
| Upload & Scheduling | Uploads videos with staggered schedules and optimized timing. |
| SEO & Metadata Automation | Automatically applies titles, descriptions, tags, and thumbnails. |
| Analytics & Tracking | Tracks views, engagement, and growth metrics per channel. |
| Mobile Device Execution | Uses real-device automation for safe uploads and interactions. |
| Trigger / Input | Core Automation Logic | Output | Safety Controls |
|---|---|---|---|
| Channel setup | Define niche, branding, and templates | Ready-to-run channel | Validation checks |
| Content pipeline | Generate scripts, voice-over, visuals | Video assets created | Quality thresholds |
| Video assembly | Combine assets into final video | Rendered video file | Format checks |
| Upload schedule | Queue videos per channel | Videos uploaded | Rate limits, delays |
| Monitoring | Track performance and errors | Analytics dashboard | Auto-retry & alerts |
- Automation: Appilot (real Android device control)
- Backend: Python (FastAPI)
- Video Processing: FFmpeg
- Data Storage: PostgreSQL
- Scheduling: Job queues + cron
- Analytics: YouTube Studio data sync
- Dashboard: Web-based monitoring panel
youtube-automation/
api/
youtube_client.py
analytics.py
automation/
channel_setup.py
content_pipeline.py
video_assembly.py
uploader.py
scheduler.py
assets/
scripts/
voiceovers/
visuals/
thumbnails/
dashboard/
app.py
components/
ChannelStats.js
UploadQueue.js
config/
settings.py
devices.json
data/
channels.csv
performance_logs.csv
scripts/
run_pipeline.py
requirements.txt
- Creators use it to run faceless YouTube channels at scale.
- Businesses use it to automate branded content and education channels.
- Agencies use it to manage multiple client channels efficiently.
- Entrepreneurs use it to test and scale YouTube niches quickly.
Q: Can this run faceless YouTube channels?
Yes. The system supports script-based videos with voice-overs and stock visuals.
Q: Does it automate uploads and scheduling?
Yes. Videos are uploaded and scheduled automatically with safe pacing.
Q: Is this suitable for YouTube Shorts?
Yes. Shorts and long-form videos are both supported.
Q: How is account safety handled?
Automation runs on real mobile devices with controlled timing to avoid flags.
- Upload success rate: 95–98%
- Video processing time: 2–5 minutes per video
- Scalability: 50+ channels per node
- Resource usage: ~300–600 MB RAM during rendering
- Recovery behavior: Automatic retries, queue rebalancing, and error alerts
