Hello, everyone!
I’m looking for a way to set up a workflow in N8N where I can upload an MP4 file, extract its transcription, and then use that transcription to generate new editorial content streams with the help of automated agents.
Does anyone have any suggestions on how to structure this first part of the workflow?
Thanks in advance!
Hey @Giulia_Patricio welcome to the community!
How do you imagine triggering your workflow?
You could do
Next, you can use OpenAI Whisper (search for “Transcribe Recording”) to get your file transcribed. Once you have the transcript, you can process it with LLM calls / Agents. Did I understand it right that by “first part of the workflow” you mean the transcription?
If you want another option I have also used groq hosted whisper but for that you would have to use a custom http node
Hello, @jksr
Actually, when I refer to the first part of the workflow, I mean how I can automatically send or receive video files.
I imagine one option would be to upload the file within a form trigger, which would then initiate the workflow. Do you think this approach would work?
After that, can I directly connect this workflow to an OpenAI node and link it to the other agents to complete the process?
Thanks in advance!
Ahh sorry I misread the file type! So I think understanding videos can be done by both gtp4o and gemini 2.0. But its not an easy implementation.
It reads like you have to break down the videos into frames
https://ai.google.dev/gemini-api/docs/vision?lang=rest#prompting-video
It does work with inline data for gemini (video must be smaller than 20MB)
See as follows:
So I think uploading the file can easily be done with a form trigger but if its a big video you will need an implementation that matches what they suggest in the post.
Thank you very much for your help! Do you have any recommendations on how to set up the best approach for AI assistants to work on this content?
Whats your goal? I would go at least in two steps. Raw extraction from the source file and summarizing, classifying etc.
To create new editorial streams (SEO-optimized blog posts, Instagram posts, and video scripts) based on the transcription of the uploaded videos.
Thinking about simplifying the workflow to run an initial POC, do you think there would be a way for me to simply input an already transcribed material and, from that text, have AI-connected agents generate new content streams for me?
Sure, I mean working with text is the easiest. Checkout some of the example workflows as well to see how others have done content generation before Discover 1516 Automation Workflows from the n8n's Community or Discover 1516 Automation Workflows from the n8n's Community
Hey Giulia!
I saw your thread and I think I have something that makes this whole setup much easier.
I’ve been using WayinVideo API (Accelerate Your Video Workflow with WayinVideo API - WayinVideo) for this exact workflow in n8n — paste a video URL or upload an MP4, get a clean transcript back, done.
Here’s how the flow looks:
Form Trigger → user drops a video URL or MP4 HTTP Request → send to WayinVideo Transcription API Wait 90s → poll for results Get Transcript → clean JSON with speaker names + timestamps AI Agent → turn that into a blog post, Instagram caption, or video script
A few things that make it easier than Whisper:
Long videos work out of the box — no manual splitting
Speaker labels come included — great for interviews and podcasts
Their Summarization API gives you key highlights too — so you skip one extra AI step
For your POC idea, you can go even simpler — just hit the Summarization endpoint directly and pipe the output straight into your content agents.
Docs here: https://wayin.ai/api-docs/introduction/
Happy to share the full n8n workflow JSON if that helps!