Generate YouTube video summaries with SearchAPI transcripts and LLM

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Important notice

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

1. Workflow Overview

Summarize YouTube Videos using SearchApi & LLM Who is this for? This workflow is ideal for content creators , students , digital marketers , educators , and researchers who want to quickly summa...

Best for

Content Creation automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.chainsummarization, @n8n/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter, n8n-nodes-base.splitout, n8n-nodes-base.summarize, n8n-nodes-base.stickynote, @searchapi/n8n-nodes-searchapi.searchapi, @n8n/n8n-nodes-langchain.lmchatopenai

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Generate YouTube video summaries with SearchAPI transcripts and LLM
Workflow name: Generate YouTube video summaries with SearchAPI transcripts and LLM

🎥 Summarize YouTube Videos using SearchApi & LLM

Who is this for?

This workflow is ideal for content creators, students, digital marketers, educators, and researchers who want to quickly summarize YouTube videos.

What problem does this workflow solve?

Manually extracting important information from lengthy YouTube videos can be tedious and prone to errors. This workflow streamlines the process by automatically fetching video transcripts using SearchApi.io and producing concise, informative summaries through a summarization chain powered by any LLM provider. This allows users to quickly access crucial information without the need for manual transcription or detailed viewing.

What this workflow does

Fetches the complete transcript of a YouTube video using SearchApi.
Combines the retrieved transcript into a single, continuous text.
Utilizes a Summarization Chain with an LLM (e.g., OpenRouter models) to create a concise summary of the video content.

Setup

Install the SearchApi community node:
- Open Settings → Community Nodes inside your self‑hosted n8n instance.
- Fill npm Package Name with @searchapi/n8n-nodes-searchapi.
- Accept the risk prompt, and hit Install.
- It should now appear as a node when you search for it.
API Configuration:
- Set up your SearchApi.io credentials in n8n.
- Add your preferred LLM provider credentials (e.g., OpenRouter API).
Input Requirements:
- Provide the YouTube video ID (e.g., wBuULAoJxok).
Connect LLM Integration:
- Configure the summarization chain with your chosen model and parameters for text splitting.

How to customize this workflow to meet your needs

Adjust the summarization model or modify text-splitter parameters to accommodate different lengths and complexities of video transcripts.
Integrate additional nodes to export summaries directly into your preferred tools, such as Google Drive, Slack, or email.
Customize prompt templates in the summarization chain to obtain various summary styles (bullet points, paragraphs, etc.).
Modify the trigger to suit your workflow.

Example Usage

Input: YouTube video ID (wBuULAoJxok).
Output: A concise, actionable summary that highlights key ideas, recommendations, and insights from the video.

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 - Summarization Chain

Type / Role: @n8n/n8n-nodes-langchain.chainSummarization - chainSummarization
Config choices: Version 2

Block 3 - Recursive Character Text Splitter

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

Block 4 - Split Out

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

Block 5 - Summarize

Type / Role: n8n-nodes-base.summarize - summarize
Config choices: Version 1.1

Block 6 - Sticky Note

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

Block 7 - Sticky Note1

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

Block 8 - SearchApi

Type / Role: @searchapi/n8n-nodes-searchapi.searchApi - searchApi
Config choices: Version 1

Block 9 - OpenAI Chat Model

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

3. Summary Table

Workflow	Generate YouTube video summaries with SearchAPI transcripts and LLM
Complexity	intermediate
Nodes	9
Categories	Content Creation, AI Summarization
Author	Pedro Santos
Published	02 May 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/3828/3828.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source Content Creation workflows AI Summarization workflows

Frequently asked questions

What does Generate YouTube video summaries with SearchAPI transcripts and LLM do?

Summarize YouTube Videos using SearchApi & LLM Who is this for? This workflow is ideal for content creators , students , digital marketers , educators , and researchers who want to quickly summa...

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 Content Creation, AI Summarization use case.

Pedro Santos

2 workflows

Nodes

n8n-nodes-base.manualtrigger @n8n/n8n-nodes-langchain.chainsummarization @n8n/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter n8n-nodes-base.splitout n8n-nodes-base.summarize n8n-nodes-base.stickynote @searchapi/n8n-nodes-searchapi.searchapi @n8n/n8n-nodes-langchain.lmchatopenai

Complexity

intermediate

Published 02 May 2025

Likes 0

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Install path: /data/workflows/3828/3828.json

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Generate YouTube video summaries with SearchAPI transcripts and LLM

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

🎥 Summarize YouTube Videos using SearchApi & LLM

Who is this for?

What problem does this workflow solve?

What this workflow does

Setup

How to customize this workflow to meet your needs

Example Usage

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When clicking ‘Test workflow’

Block 2 - Summarization Chain

Block 3 - Recursive Character Text Splitter

Block 4 - Split Out

Block 5 - Summarize

Block 6 - Sticky Note

Block 7 - Sticky Note1

Block 8 - SearchApi

Block 9 - OpenAI Chat Model

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions