Block 1 - Validate Duration
- Type / Role
- n8n-nodes-base.code - code
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- Version 2
How it works This workflow lets users generate structured summaries from YouTube videos directly inside Slack using n8n, AssemblyAI, and OpenAI. When a user submits a YouTube link via a Slack sl...
n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.webhook, n8n-nodes-base.set, n8n-nodes-base.if, n8n-nodes-base.wait, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Marsel Bait.
Original n8n.io sourceš§ How it works This workflow lets users generate structured summaries from YouTube videos directly inside Slack using n8n, AssemblyAI, and OpenAI.
When a user submits a YouTube link via a Slack slash command, the workflow extracts the video ID and validates the video duration. Videos longer than the supported limit are stopped early with a clear message sent back to Slack.
For valid videos, the workflow downloads the video audio as an MP3 file and sends it to AssemblyAI for transcription. Once the transcription is complete, the transcript is passed to an AI model to generate a structured summary.
The final result includes a concise TL;DR, key takeaways, and notable quotes, which are formatted and posted back to Slack asynchronously using the original response URL.
āļø Features ⢠Triggers from a Slack slash command with a YouTube link ⢠Validates video length before processing (maximum 10 minutes) ⢠Downloads YouTube audio as MP3 using RapidAPI ⢠Transcribes audio using AssemblyAI ⢠Generates structured summaries (TL;DR, key takeaways, notable quotes) ⢠Posts the summarized result back to Slack asynchronously
š” Use cases & expected outcomes ⢠Educational YouTube videos ā Receive a clear summary instead of watching the full video ⢠Long-form talks or interviews ā Quickly get key points and memorable quotes ⢠Research and learning ā Extract insights from videos without manual note-taking ⢠Content discovery ā Decide whether a video is worth watching based on its summary
In all cases, users receive a clear, structured summary of a YouTube video directly in Slack.
š” Perfect for ⢠Teams sharing YouTube links and wanting quick context ⢠Researchers and learners reviewing long video content ⢠Content creators analyzing videos efficiently
𧩠Notes ⢠Please note that this workflow generates summaries, not full transcripts
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Summarize YouTube videos in Slack using AssemblyAI transcription and OpenAI |
|---|---|
| Complexity | advanced |
| Nodes | 22 |
| Categories | Market Research, AI Summarization |
| Author | Marsel Bait |
| Published | 23 Jan 2026 |
Use the JSON export at /data/workflows/12934/12934.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
How it works This workflow lets users generate structured summaries from YouTube videos directly inside Slack using n8n, AssemblyAI, and OpenAI. When a user submits a YouTube link via a Slack sl...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.