How to Automate Social Media Posts in 3 Languages Using Make.com & AI
Creating content in multiple languages shouldn't mean tripling your workload. This Make.com automation detects whether your videos are in English, Arabic or French, generates platform-optimized captions, and posts to all your social accounts automatically - saving 10+ hours per week on manual repurposing.
The Multilingual Content Challenge
Creating content in multiple languages presents a unique scaling problem. Every video needs to be:
- Clipped into platform-specific formats (Reels, Shorts, etc.)
- Given language-appropriate captions
- Posted to language-matched social accounts
- Tracked across all platforms
Most creators either limit themselves to one language or spend hours manually repurposing content. At 4:30 in the tutorial video, the creator explains how this workflow solved their specific pain of switching between Arabic, French and English content creation.
Before automation: Each video required 45-60 minutes of manual work to repurpose across platforms. After automation: The same process happens automatically in under 5 minutes.
Workflow Overview
This Make.com automation handles the entire multilingual social media workflow:
- Videos are uploaded to a designated Google Drive folder
- The system detects new videos and downloads them
- AI analyzes the video title to generate engaging captions
- A second AI model detects the video's primary language
- Content is routed to language-specific posting branches
- Videos are posted to all connected social platforms
The entire process runs automatically whenever new videos are added to the Drive folder, requiring zero manual intervention after initial setup.
Step 1: Video Organization
The workflow begins with video organization in Google Drive:
- Create a "Social Content" folder in Drive
- Set up Make.com to monitor this folder for new files
- Configure the "Search Files" module to retrieve only video files
- Set a limit of 1 file during testing to conserve operations
At 2:45 in the video, the creator demonstrates how they use macOS Automator to automatically organize videos by language before they even reach Drive. This optional step adds another layer of organization but isn't required for the core workflow.
Step 2: AI Caption Generation
The system uses AI to generate engaging captions based on video titles:
Key configuration: The AI is instructed to keep captions under 90 characters, use emojis when appropriate, and exclude any file extensions from the final output.
You can choose between different AI models (xAI, Gemini or GPT) based on your preferences. The tutorial creator prefers xAI for its accuracy with multilingual content, especially for Arabic captions.
The AI prompt includes:
- System message defining the AI's role as a content writer
- Clear instructions about length and formatting
- Example outputs to guide the style
Step 3: Language Detection
A second AI model analyzes video titles to detect the primary language:
- Configured to respond with only "English", "Arabic" or "French"
- Routes content to the appropriate posting branches
- Can be expanded to support additional languages
At 7:20 in the video, the creator shows how this detection works in practice, with the AI correctly identifying an Arabic-language video title and routing it to the Arabic content branch.
Pro tip: Test the language detection with sample titles before connecting to live posting workflows to ensure accurate routing.
Step 4: Platform-Specific Posting
The workflow includes separate branches for each language:
- English content posts to English-language accounts
- Arabic content posts to Arabic accounts
- French content posts to French accounts
Each branch can connect to multiple platforms:
- LinkedIn (personal and company pages)
- TikTok
The creator demonstrates at 9:45 how content flows through the Arabic branch to post to their Arabic social accounts automatically.
Time Savings and Results
This automation delivers significant time savings:
| Task | Manual Time | Automated Time |
|---|---|---|
| Caption writing | 15-20 minutes | 0 minutes |
| Language-specific posting | 30+ minutes | 0 minutes |
| Platform formatting | 10-15 minutes | 0 minutes |
Total weekly savings: 10-15 hours for creators posting daily content across 3 languages.
Watch the Full Tutorial
See the complete workflow in action, including real-time demonstrations of the language detection and posting processes. At 12:30, the creator shows how quickly new videos appear on all connected platforms after being added to the Drive folder.
Frequently Asked Questions
Common questions about this topic
This Make.com workflow can post to LinkedIn (both personal and company pages), Facebook, Instagram, TikTok and other platforms.
The system detects whether content is in English, Arabic or French and posts to language-specific accounts automatically.
The system uses AI models (like xAI, Gemini or GPT) to analyze video titles and generate platform-appropriate captions under 90 characters.
You can specify emoji usage and formatting preferences in the AI instructions.
Yes, the automation includes an initial step where videos are automatically clipped into shorter segments optimized for platforms like Instagram Reels and TikTok.
This happens before the language detection and caption generation phases.
Based on our implementation, this workflow saves 10-15 hours per week for creators posting daily content across 3 languages.
The biggest time savings come from eliminating manual caption writing, language-specific reposting and platform-by-platform uploading.
The workflow uses about 50-70 Make.com operations per video (including AI steps).
At standard pricing, this costs approximately $0.15-$0.30 per video processed. The exact cost depends on your Make.com plan and which AI models you choose.
Yes, the language detection module can be expanded to support additional languages by modifying the AI prompt.
The current implementation focuses on these three languages because they represent the creator's primary audiences, but the system is language-agnostic.
Create a 'Social Content' folder in Google Drive with subfolders for raw videos.
The automation watches this folder for new uploads. Videos can be organized by language or left in a single folder - the AI will detect and route them appropriately.
GrowwStacks specializes in building custom social media automation workflows using Make.com and AI.
We can adapt this system for your specific platforms, languages and content types. Our team handles the technical implementation while you focus on creating content.
- Custom automation workflows built for your business
- Integration with your existing tools and platforms
- Free consultation to discuss your requirements
Stop Wasting Hours on Multilingual Social Media
Manual content repurposing steals time from actual creation. Let GrowwStacks build your custom multilingual automation workflow - typically deployed in under 2 weeks.