I’m looking to hire someone to create a custom n8n workflow that takes a short-form video from TikTok or Instagram and automatically turns it into a new, fully edited video.
Here’s the general flow I’m envisioning:
Input:
I paste a TikTok or Instagram video URL into the workflow.
Audio Extraction:
The workflow downloads the video and extracts its audio track.
Clip Selection:
Based on tags or themes, the workflow queries a clip library stored in Supabase (or similar database).
Selects multiple clips that match the chosen tags.
Captions:
Audio is transcribed with timestamps using an API like Whisper or AssemblyAI.
Captions are styled and timed to appear over the final video.
Assembly:
The selected clips are arranged to match the length and flow of the extracted audio.
Captions are overlaid.
A watermark or small branding text is added.
Export & Storage:
Final rendered video is uploaded to Google Drive (or optionally linked in Google Sheets).
Metadata (caption text + tags for TikTok/Instagram) is saved alongside it for posting.
Deliverable:
A fully functional n8n workflow that I can run on my own n8n instance. It should be modular enough so I can easily adjust clip tags, change storage locations, and update caption styles.
If you have experience with:
n8n workflow building
Integrating APIs for downloading media from TikTok/Instagram
Supabase or similar databases
Video editing APIs (JSON2Video, FFmpeg, etc.)
Automatic caption generation
…then I’d love to discuss scope, timeline, and pricing.
Hello @Sebastian_Alberttis ,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
I am writing to express my strong interest in your project to build a custom n8n workflow for automated video creation. The workflow you’ve described is precisely the kind of system I specialize in designing and building.
My background is as an AI Solutions Architect, with a primary focus on creating robust, scalable, and fully documented automation workflows using n8n. I have direct experience with every component of the system you’re envisioning:
API Integrations: I am highly proficient in integrating various APIs, including those for downloading media from platforms like TikTok and Instagram, as well as for video processing and transcription.
Video Generation: I have hands-on experience using video editing APIs like JSON2Video to assemble and render new videos, including styling captions and adding branding. This is a core part of my expertise.
Data Handling: I can easily integrate with databases like Supabase to manage your clip library and a Google Sheets dashboard to track your videos and metadata.
Modular Design: My approach to every build is to create a modular system with comprehensive documentation, ensuring that you can easily adjust tags, change locations, or update styles without needing my help for every small change.
I am confident that I can build a highly effective and reliable n8n workflow that meets all your specifications. I would love to discuss the scope, timeline, and pricing with you in more detail.
This one instantly caught my attention — it’s exactly the kind of automation we’ve been wanting to build as a showcase. Love how you’ve mapped out the flow; it’s a solid use of n8n with video + AI in the mix.
We’ve already worked on similar setups — pulling TikTok/Instagram videos, processing them through FFmpeg, adding captions via Whisper/AssemblyAI, and even auto-generating branded outputs with JSON2Video/Bannerbear. On top of that, we’ve built Supabase-driven clip libraries for other clients so swapping tags or updating clip sets is dead simple.
Let’s jump on a quick call — I can share some relevant workflows we’ve done and we can figure out how to make your “URL → fully edited video” pipeline smooth and future-proof.
At Hashlogics, we’ve built similar n8n-based video automation flows that take short-form content from TikTok/Instagram, process it with audio extraction, tag-based clip matching from a Supabase library, auto-generate styled captions via Whisper/AssemblyAI, assemble with FFmpeg/JSON2Video, watermark, and then store or log the final video with full metadata for easy posting.
Your envisioned flow from URL input to fully rendered, branded output, is exactly the type of modular workflow we deliver. We can keep it flexible so you can swap clip tags, change caption styles or adjust storage destinations without touching the core logic.
Your project sounds both exciting and technically challenging — exactly the kind of automation we love working on. I have hands-on experience building custom n8n workflows, integrating TikTok/Instagram APIs, working with Supabase, and automating video editing pipelines using tools like FFmpeg and AI-based transcription (Whisper, AssemblyAI).
I can design your workflow to be modular, scalable, and easy to adjust — so updating tags, caption styles, or storage locations will be seamless.
I’m an experienced data scientist who has been working full-time in AI for the past two years. I built the full-stack AI-native application careerwise.io. I have hands-on experience in prompt engineering, workflow automation, and developing long-term fine-tuning and scalability strategies. I believe which is crucial for your project as Thera re many probabilistic steps.
I’m based in the UK — let me know if you’re interested.