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Free YouTube video analyzer with AI-powered summaries & email alerts

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This workflow is designed to analyze YouTube videos by extracting their transcripts, summarizing the content using AI models, and sending the analysis via email. This workflow is ideal for content ...

Best for

  • Market Research automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.lmchatopenrouter, @n8n/n8n-nodes-langchain.lmchatdeepseek, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.stickynote, n8n-nodes-base.emailsend

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Davide.

Original n8n.io source

1.1 Workflow description

Title
Free YouTube video analyzer with AI-powered summaries & email alerts
Workflow name
Free YouTube video analyzer with AI-powered summaries & email alerts

This workflow is designed to analyze YouTube videos by extracting their transcripts, summarizing the content using AI models, and sending the analysis via email.

This workflow is ideal for content creators, marketers, or anyone who needs to quickly analyze and summarize YouTube videos for research, content planning, or educational purposes.

How It Works:
  1. Trigger: The workflow starts with a manual trigger, allowing you to test it by clicking "Test workflow." You can also set a YouTube video URL manually or dynamically.

  2. YouTube Video ID Extraction:

    • The workflow extracts the YouTube video ID from the provided URL using a custom JavaScript function. This ID is necessary for fetching the transcript.
  3. Transcript Generation:

    • The video ID is sent via an HTTP request to generate the transcript. You need to replace APIKEY with a free API key from the service.
  4. Transcript Validation:

    • The workflow checks if a transcript exists for the video. If a transcript is available, it proceeds; otherwise, it stops.
  5. Full Text Extraction:

    • If a transcript exists, the workflow combines all transcript segments into a single text variable for further analysis.
  6. AI-Powered Analysis:

    • The full transcript is passed to an AI model (DeepSeek, OpenAI, or OpenRouter) for analysis. The AI generates a structured summary, including a title and key points, formatted in markdown.
  7. Email Notification:

    • The analysis results (title and summary) are sent via email using SMTP credentials. The email contains the structured summary of the video.
Set Up Steps:
  1. YouTube Transcript API:

    • Obtain a free API key from youtube-transcript.io and replace APIKEY in the "Generate transcript" node with your key.
  2. AI Model Configuration:

    • Configure the AI model nodes (DeepSeek, OpenAI, or OpenRouter) with the appropriate API credentials. You can choose one or multiple models depending on your preference.
  3. Email Setup:

    • Configure the "Send Email" node with your SMTP credentials (e.g., Gmail, Outlook, or any SMTP service). Ensure the email settings are correct to send the analysis results.
Key Features:
  • Free Tools: Uses youtube-transcript.io for free transcript generation.
  • AI Models: Supports multiple AI models (DeepSeek, OpenAI, OpenRouter) for flexible analysis.
  • Email Notifications: Sends the analysis results directly to your inbox.
  • Customizable: Easily adapt the workflow to analyze different videos or use different AI models.

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - When clicking ‘Test workflow’

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 2 - YouTube Video ID

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 3 - OpenAI Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 4 - OpenRouter Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices
Version 1

Block 5 - DeepSeek Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatDeepSeek - lmChatDeepSeek
Config choices
Version 1

Block 6 - Structured Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.2

Block 7 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 8 - Send Email

Type / Role
n8n-nodes-base.emailSend - emailSend
Config choices
Version 2.1

Block 9 - Generate transcript

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 10 - Exist?

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 11 - Analyze LLM Chain

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.5

Block 12 - Set YouTube URL

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 13 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Get transcript

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 15 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 17 - Get Fulltext

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 18 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 19 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 20 - Sticky Note6

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 21 - Sticky Note7

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Free YouTube video analyzer with AI-powered summaries & email alerts
Complexity advanced
Nodes 21
Categories Market Research, AI Summarization
Author Davide
Published 21 Feb 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/2964/2964.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Free YouTube video analyzer with AI-powered summaries & email alerts do?

This workflow is designed to analyze YouTube videos by extracting their transcripts, summarizing the content using AI models, and sending the analysis via email. This workflow is ideal for content ...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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.