Hiring n8n Automation Expert — AI Video Clip Detection, Editing & Auto-Publishing

Jobs
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looking for an experienced n8n automation developer to build a complete, end-to-end workflow that will:

Workflow Requirements:

  1. Ingest long-form published videos from YouTube (via yt-dlp or similar).

  2. Detect and extract clips featuring a specific person using AI face recognition (Twelve Labs, Sieve, or similar).

  3. Auto-cut highlights based on timestamps, keeping the most engaging moments (positive interactions, key moments, etc.).

  4. Reframe to vertical 9:16 format with intelligent cropping to keep the person centered in frame.

  5. Add captions automatically (AssemblyAI, Whisper, or similar).

  6. Overlay watermark/logo and style captions for social media.

  7. Generate thumbnails automatically (Bannerbear, Canva API, or similar).

  8. Auto-publish clips to Instagram Reels (Meta Graph API) and optionally TikTok and YouTube Shorts.

  9. Log analytics (likes, comments, shares) into Google Sheets.

Tech Stack (Preferred):

n8n (self-hosted on Railway/Docker)

ffmpeg & yt-dlp

AI APIs: Twelve Labs or Sieve (face detection), AssemblyAI or Whisper (captions), Bannerbear or Canva API (thumbnails)

Publishing APIs: Meta Graph API (Instagram), TikTok API, YouTube Data API

Google Sheets API for analytics logging

What I Have Ready:

Starter n8n workflow kit (JSON workflows, Dockerfile with ffmpeg/yt-dlp, .env sample, placeholder watermark)

Hosting environment

Reference image for face detection

What I Need From You:

Connect APIs and credentials

Configure all nodes for smooth end-to-end automation

Ensure error handling and logging

Optional: Set up scheduled posting times in specific time zones

Deliverables:

Fully working n8n workflow chain from YouTube → AI clip detection → edit → publish → analytics

Documentation for setup & maintenance

Short test run with a sample video

Budget: Open to offers based on experience and delivery speed
Location: Remote – global applicants welcome

If interested, please reply with:

Examples of similar n8n or automation projects you’ve built

Your proposed approach for AI detection & clip extraction

Estimated delivery time

1 Like
2

Hello @Syed_Adnan_Ali ,welcome to the n8n job section , I would love to work with you on this, you can book a call here : Calendly to discuss the project requirements and you can checkout my Upwork profile

3

Yes, I can help you build this complete end-to-end n8n workflow. I have experience integrating n8n with AI APIs like Twelve Labs, AssemblyAI, and Bannerbear, as well as video processing with ffmpeg and yt-dlp. I can connect all required APIs, set up error handling, and deliver a smooth, automated pipeline from YouTube ingestion to publishing on Instagram Reels, TikTok, and YouTube Shorts, including analytics logging in Google Sheets.

4

Hi @Syed_Adnan_Ali

When I read your post, I thought — this is exactly the kind of project We’ve been wanting to build. It’s such a great use of automation, and with today’s AI tools, the possibilities are huge.

I have a team of experienced automation developer and fully understand your requirements. Let’s connect on a quick call so we can go over the details and start making it happen.

— Diya Mangla - [email protected]

Deligence Technologies

5

Hey @Syed_Adnan_Ali

This sounds right up our alley at Hashlogics; we’ve built AI-driven video workflows in n8n that take raw long-form videos, detect a specific person with face recognition, pull out the best highlights, reframe them to 9:16, style captions, watermark, and push them straight to Reels, TikTok, or Shorts all while logging performance data automatically.

For your setup, we’d wire in yt-dlp + ffmpeg for processing, connect Twelve Labs or Sieve for the face detection, run captions through AssemblyAI or Whisper, generate thumbnails via Bannerbear/Canva API, and publish through the Meta/TikTok/YT APIs — end-to-end, with error handling so it runs smoothly.

We’re active in the n8n community and currently delivering similar automation for a media client who needed this exact kind of clip-cutting and publishing flow. Would be happy to show you a working demo so you can see the quality for yourself.

You can check us out here: Hashlogics: Agentic AI & RPA Solutions for Intelligent Automation
N8N Workflows Portfolio: n8n Case Studies

If you’re open, let’s lock a quick call: Calendly

6

Hi ,

Thank you for reaching out! I specialize in building powerful automation workflows using n8n to help businesses save time, reduce manual work, and improve efficiency.

Could you share more details about your needs or the platforms you want to connect? I’d be happy to create a customized solution for you.

Best regards,
Firaol Lulu

[email protected]
Automation Engineer | n8n Workflow Developerr

7

Hi @Syed_Adnan_Ali , I’m interested in building the end-to-end video automation workflow you’ve described. With 3 years of experience in n8n, I can integrate the necessary APIs (YouTube, Meta Graph, TikTok, YouTube Data, etc.) and configure the workflow from video ingestion to publishing on social media. I’m also experienced in AI face detection and video editing for clip extraction and intelligent cropping.

I’ll ensure error handling, logging, and provide the necessary documentation. Estimated delivery time: 1-2 weeks.

8

Hello Syed, welcome to the n8n community!

Your project is exciting, and I’d be glad to help you build the full end-to-end workflow for AI video detection, editing, and auto-publishing. I have solid experience with n8n, ffmpeg, API integrations, and AI-powered automation, which makes me confident I can deliver exactly what you need.

My Approach to your project

1. Video Ingestion: Use yt-dlp within n8n to fetch long-form YouTube videos.

2. AI Detection: Integrate Twelve Labs (or Sieve) for face/person recognition and timestamp extraction.

3. Clip Extraction & Editing: Use ffmpeg to cut highlights and auto-crop into 9:16 vertical format while keeping the subject centered.

4. Captions: Connect AssemblyAI or Whisper for transcription + styled captions for social media.

5. Branding: Add your watermark/logo dynamically via ffmpeg filters.

6. Thumbnails: Generate automatically via Bannerbear or Canva API.

7. Publishing: Push directly to Instagram Reels (Meta Graph API), with optional TikTok + YouTube Shorts integration.

8. Analytics: Log likes, comments, and shares into Google Sheets for performance tracking.

9. Error Handling: Ensure retries, logging, and optional scheduling for consistent posting.

I can deliver the first working version within 7–10 days, with refinements and testing included.

Would you like me to also include a fixed price range or keep it open for discussion based on features and speed of delivery?

You can contact me on the contact below for more information and past projects

Telegram: @authorityautomation2

WhatsApp: 234 9162504121

Mail: [email protected]