⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis
Configured with Agent, Aggregate, Chat Trigger, Execute Workflow Trigger, and additional nodes. Review the connections and setup before adapting this template.
Node categories in this workflow
- Code
- Trigger
- Data store
- AI & models
- Transform
- Web / API
- Subworkflow
Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.
Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.
How it works
The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.
| Node | Category | Type | Operation |
|---|---|---|---|
| Get YouTube Transcript | Code | Code | See node parameters |
| When Executed by Another Workflow | Trigger | Execute Workflow Trigger | See node parameters |
| When chat message received | Trigger | Chat Trigger | See node parameters |
| Window Buffer Memory | Data store | Memory Buffer Window | See node parameters |
| gpt-4o-mini1 | AI & models | OpenAI Chat Model | See node parameters |
| YouTube Video Agent | AI & models | Agent | See node parameters |
| Create YouTube API URL | Code | Code | See node parameters |
| Split Out Transcript Segments | Transform | Split Out | See node parameters |
| Combine Transcript Segments | Transform | Summarize | See node parameters |
| Get YouTube Video Details | Web / API | HTTP Request | See node parameters |
| Merge YouTube Details & Transcript | Transform | Merge | See node parameters |
| Create One JSON Object | Transform | Aggregate | See node parameters |
| Respond with YouTube Details & Transcript | Transform | Edit Fields | See node parameters |
| Workflow Variables | Transform | Edit Fields | See node parameters |
| YouTube Processing Tool | Subworkflow | Tool Workflow | See node parameters |
| DeepSeek-V3 Chat | AI & models | OpenAI Chat Model | See node parameters |
Setup
- Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
- Connect your own credentials through n8n’s credential store. Replace
REPLACE_WITH_*values with your resource identifiers. - Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
- Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.
Requirements
An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.
Credential types declared in the source
openAiApi
Workflow notes
OpenAI
OpenAI
https://platform.openai.com/api-keys
Workflow Variables
Workflow Variables
https://cloud.google.com/docs/get-started/access-apis
YouTube Video Details
YouTube Video Details
https://developers.google.com/youtube/v3/docs
YouTube Video Transcript
YouTube Video Transcript
https://docs.n8n.io/integrations/creating-nodes/test/run-node-locally/ https://www.npmjs.com/package/youtube-transcript
📽️ YouTube Video AI Agent Workflow
📽️ YouTube Video AI Agent Workflow
This n8n workflow template enables users to interact with an AI agent that extracts details and the transcript of a YouTube video based on a provided video ID. Once the video details and transcript are retrieved, users can chat with the AI agent to explore or analyze the content of the video in a conversational manner.
How the Workflow Works
-
Input Video ID: The user provides a YouTube video ID as input to the workflow.
-
Data Retrieval: The workflow fetches key details about the video (e.g., title, description, upload date) and retrieves its transcript. This involves using YouTube's Data API and other integrated tools for transcript extraction.
-
AI Agent Interaction: The extracted details and transcript are processed by an AI-powered agent. Users can then ask questions or engage in a discussion with the agent regarding the video's content, such as summarizing the transcript, analyzing key points, or clarifying specific sections.
-
Dynamic Responses: The AI agent uses natural language processing to provide contextual and accurate responses based on the video data, making the interaction intuitive and user-friendly.
Use Cases
- Content Analysis: Quickly analyze long YouTube videos by querying specific sections or extracting summaries.
- Research and Learning: Use the AI agent to gain insights from educational videos or tutorials without watching them in full.
- Content Creation: Creators can use this workflow to repurpose transcripts into blogs, social media posts, or other formats.
- Accessibility: Improve accessibility for users who prefer text-based interaction over watching videos.
🛠️ Resources for Getting Started
🛠️ Resources for Getting Started
- Google Cloud Console (for API setup): Visit Google Cloud's Get Started Guide to configure your API access.
- YouTube Data API Key Setup: Follow this guide to create and manage your YouTube Data API key.
- Install n8n Locally: Refer to this installation guide for setting up n8n on your local machine.
✨ Sample Prompt
"Tell me about this YouTube video with id: JWfNLF_g_V0"
"Can you provide a list of key takeaways from this video with id: [youtube-video-id]?"
DeepSeek
DeepSeek
https://api-docs.deepseek.com/
⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis
⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis
Purpose and structure
This folder contains the ⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis workflow. Its executable nodes use agent, aggregate, chatTrigger, code, executeWorkflowTrigger, httpRequest, lmChatOpenAi, memoryBufferWindow, merge, set, splitOut, summarize, toolWorkflow. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.
Setup
Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.
Entry points
When Executed by Another Workflow, When chat message received
Verification
Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.
Attribution
https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Splitout/1463_Splitout_Code_Automate_Webhook.json MIT; preserve source notices.
Canvas section labels
These name areas of the original canvas; they do not include explanatory instructions.
- 🤖 AI Agent Chatbot for YouTube Videos
- 🛠️ YouTube Video Processing Tool
- Chat History Memory
- 🛠️YouTube Video Processing Tool
- 👍 Try Me!
- 📽️Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis