Update, October 2026: The video above shows the first version of ClipFrom, which I put together with Lovable, ChatGPT and n8n. I’ve since rebuilt it from the ground up in Claude Code as a full app at clipfrom.ai. Claude agents now run the pipeline that n8n used to handle, and the tech stack below reflects the current version.
What if you could drop a blog post or article into a tool and get back a fully produced video with voiceover, visuals, and captions in minutes? That is exactly what I built with ClipFrom.
ClipFrom is an AI-powered content machine I built from scratch that takes a written article as input and outputs a ready-to-publish short-form video. Article in. Video out. The whole workflow runs automatically, stitching together AI models for scripting, visuals, voice, and editing.
The Problem It Solves
Content creators and marketers produce a ton of written content but repurposing that into video is time-consuming and expensive. ClipFrom collapses that process into a single automated pipeline so you can scale video output without scaling your team.
How the First Version Worked
The workflow is fully automated using a multi-model AI stack. Here is what happens under the hood when you submit an article:
- Script generation – ChatGPT reads the article and distills it into a punchy, engaging video script.
- Voiceover – ElevenLabs converts the script into a natural-sounding AI voice.
- Visuals – Kling AI and Fal.ai generate video clips and imagery matched to the content.
- Assembly – n8n orchestrates the entire workflow, passing outputs between models and triggering each step in sequence.
- Delivery – The finished video is returned ready to publish.
The Tech Stack Today
ClipFrom is now a React app I build and maintain in Claude Code:
- Claude (Anthropic) – Managed agents that read the article, write the captions and direct each scene
- ElevenLabs – Voiceover with word-level timing for synced captions, plus voice cloning and transcription
- Kling AI and Pexels – AI-generated and stock b-roll
- Remotion – Video rendering, hosted on Railway
- Supabase – Database, auth, storage and edge functions
- Stripe – Credit-based subscriptions
- Instagram Graph API – One-click publishing to a connected account
The first version used Lovable for the frontend, ChatGPT for scripts, n8n to orchestrate the models and Fal.ai for inference.
What This Demonstrates
ClipFrom is proof that modern AI tools let a product thinker build things that would have required a full engineering team just a couple of years ago. I scoped the problem, designed the workflow, selected the right models for each job, and shipped a working product.
The product is still in active development but the core workflow is real and it works. Watch the full video above to see it in action.
Follow along on YouTube for more builds like this.