Block 1 - Split Transcript into Segments
- Type / Role
- n8n-nodes-base.splitOut - splitOut
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Summarize YouTube Videos & Chat About Content with GPT 4o mini via Telegram Description This n8n workflow automates the process of summarizing YouTube video transcripts and enables users to interac...
n8n-nodes-base.splitout, n8n-nodes-base.set, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.summarize, @n8n/n8n-nodes-langchain.chattrigger, n8n-nodes-youtube-transcription-kasha.youtubetranscripter
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Grzegorz Hanus.
Original n8n.io sourceThis n8n workflow automates the process of summarizing YouTube video transcripts and enables users to interact with the content through AI-powered question answering via Telegram. It leverages the GPT-4o-mini model to generate summaries and provide insights based on the video’s transcript.
Input: The workflow starts by receiving a YouTube video URL. This can be submitted through:
Transcript Extraction: The URL is processed to extract the video transcript using the custom youtubeTranscripter community node (available here). The transcript is concatenated into a single text and stored in a Google Docs document.
Summarization: The GPT-4o-mini AI model analyzes the transcript and generates a structured summary, including:
Interactive Q&A: Users can ask questions about the video content via Telegram. The AI retrieves the stored transcript from Google Docs and provides accurate, context-based answers, which are sent back through Telegram.
To configure this workflow, follow these steps:
youtubeTranscripter community node via npm:npm install n8n-nodes-youtube-transcription-kasha
Important: This node requires a self-hosted n8n instance due to its external dependencies.This template is perfect for:
This workflow simplifies video content consumption by:
youtubeTranscripter community node is required and only works on self-hosted n8n instances due to its reliance on external services.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 & chat about content with GPT-4o-mini via Telegram |
|---|---|
| Complexity | advanced |
| Nodes | 22 |
| Categories | Content Creation, AI RAG |
| Author | Grzegorz Hanus |
| Published | 13 Mar 2025 |
Use the JSON export at /data/workflows/3156/3156.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.
Summarize YouTube Videos & Chat About Content with GPT 4o mini via Telegram Description This n8n workflow automates the process of summarizing YouTube video transcripts and enables users to interac...
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 Content Creation, AI RAG use case.