Media Automation

AI Video & Content Engine

An automated multi-language video publishing system β€” from topic to published, platform-optimized content across five channels simultaneously.

Project visual
The Problem

Content at scale requires a factory, not a team.

Publishing consistent, high-quality video content across multiple platforms and languages requires scripting, translation, voice recording, video editing, thumbnail creation, metadata optimization, and scheduling β€” for every piece of content, on every platform, in every language. Done manually, this is a full-time job per channel.

The System

One input. Multiple outputs.

A fully automated content pipeline that takes a topic or brief and produces platform-optimized, published content across YouTube, Instagram, TikTok, LinkedIn, and Facebook β€” in multiple languages β€” without manual intervention.

πŸ“ Brief β†’ πŸ€– AI Script β†’ 🌍 Translate β†’ πŸŽ™οΈ AI Dub β†’ πŸ“± Publish
1

AI script generation

GPT generates expert-style scripts from a topic brief. Tone, length, and structure adapted per platform. Scripts validated for factual quality and platform guideline compliance before proceeding.

2

Translation and localization

Scripts translated into target languages with cultural and platform-specific localization β€” not just word-for-word translation. Currently supporting English, German, and Spanish pipelines.

3

AI dubbing and video production

HeyGen or ElevenLabs generates dubbed audio tracks. Video assembled with synchronized audio, b-roll, and captions. Format adapted per platform (16:9 for YouTube, 9:16 for Reels/TikTok/Shorts).

4

Thumbnail and metadata generation

AI generates thumbnail concepts. DALL-E or Midjourney produces assets. Titles, descriptions, hashtags, and tags generated and optimized per platform algorithm requirements.

5

Compliance scoring and publishing

Content scored against platform guidelines before publishing. Scheduled and published via platform APIs. Performance data fed back into the system for future optimization.

πŸ› οΈ

Tools Used

Make.com, OpenAI, HeyGen, ElevenLabs, DALL-E, YouTube API, Meta API, TikTok API, LinkedIn API

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Outcome

Content production time reduced from ~8 hours/video to under 30 minutes of human oversight. Consistent publishing cadence across all channels and languages.

🌍

Scale

System supports unlimited parallel language channels. Each new language requires only a translation configuration β€” no new pipeline architecture needed.