Extract YouTube auto-generated transcripts for AI analysis and storage

Name: Extract YouTube auto-generated transcripts for AI analysis and storage
Availability: InStock
Author: Joel Cantero

Extract YouTube auto-generated transcripts for AI analysis and storage preview

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

Overview

🎬 Extract YouTube auto-generated transcripts and save them for AI processing

Direct YouTube API - Auto-Generated Only

Extracts the auto-generated transcript from any YouTube video automatically.

🔄 How It Works (5 Steps)

📥 Input: youtubeVideoUrl only
🌐 Fetch: GET YouTube page HTML to extract INNERTUBE_API_KEY
🔑 Extract: Parse API key and video ID
🎥 Metadata: GET caption metadata
🤖 Auto-Detect: Find auto-generated transcript (kind: asr)
📝 Fetch & Parse: Download and clean transcript

🔄 Setup steps

Import the workflow to your n8n instance
Activate the workflow
Provide the YouTube video URL via webhook or manual trigger
The workflow will automatically extract the auto-generated transcript
Access the results in the specified output format

🎯 Use Cases

Extract auto-generated transcripts automatically
No language selection needed
Perfect for bulk transcript collection
AI processing, summarization, analysis
Content accessibility

✅ Output Format

{
 "fullTranscript": "Auto-generated transcript text...",
 "wordCount": 1234,
 "transcript": [...timestamps...]
}

Joel Cantero

3 workflows

Complexity

intermediate

Published 03 Jan 2026

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/12407/12407.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Create fillable document templates from PDF or DOCX with GPT-4o and Google Drive

## 📄Template Creator ### How it works This workflow accepts any uploaded document (PDF or DOCX) via webhook and automatically converts it into a reusable fill-in-the-blank template. **Step 1 — Identify:** GPT-4o first reads the document and determines the document type (e.g., Employment Contract, Invoice, NDA, Lease Agreement, Project Proposal) and the specific variable fields that type of document typically contains. **Step 2 — Templatize:** A second AI pass uses the identified document type and field list to replace all variable content with clearly labeled `[BRACKET]` placeholders while preserving all static boilerplate and structure verbatim. **Step 3 — Deliver:** The cleaned template is rendered to PDF via Gotenberg, uploaded to Google Drive, made publicly accessible, and a JSON response with file URLs is returned to the caller. ### Setup 1. Configure the **Webhook** path if needed (default: `general-template-creator`) 2. Set your **OpenAI** credential on both LLM nodes 3. Set your **Google Drive** credential and confirm the target folder ID in the Upload node 4. Confirm the **Gotenberg** URL matches your self-hosted instance 5. Install the community node `n8n-nodes-word2text` (see ⚠️ warning sticky) ### Customization - Swap GPT-4o for GPT-4.1 or GPT-4.1-mini on the Identify node to reduce cost on the lighter classification task - Add a Switch node after identification to route different document types to type-specific prompts - Modify the Drive folder ID to sort templates into subfolders by document type Document accepts input from a form such as the one found here: [Sample Form](https://iportgpt.com/n8n_assets/template_creator_form.html)

View

Generate PDF pricing proposals from Excel with Gotenberg and Outlook

## How it works 1. **Webhook Trigger** — A web form POSTs prospect details, selected services, discount level, and requestor info to the webhook endpoint. 2. **Fetch Pricing Sheet** — Retrieves all rows from your `pricing_request.xlsx` Excel table in OneDrive/SharePoint. 3. **Process & Price** — Filters the pricing rows to the selected services, applies the correct Discount / Retail / Premium price tier, and calculates the total. 4. **Build HTML** — Renders a fully branded HTML proposal document with cover info, line-item pricing table, terms, and a signature block. 5. **Convert to PDF** — Sends the HTML to a self-hosted [Gotenberg](https://gotenberg.dev) instance, which returns a print-ready PDF. 6. **Email Proposal** — Delivers the PDF as an attachment via Gmail OAuth2 to the requester and any internal recipients you configure.

View

Classify and route email attachments with easybits, Gmail and Google Drive

## What This Workflow Does Receive any business document via email. The attachment is automatically **classified** (Invoice, Contract, or Purchase Order) using easybits Extractor, then **routed** down the correct path where a second Extractor pulls out document-specific data. Each route stores the file in Google Drive and triggers the appropriate action – Invoices go to a finance spreadsheet, Contracts and Purchase Orders trigger Slack notifications. ## How It Works 1. **Receive** – Gmail polls for new emails with attachments every minute 2. **Classify** – easybits Extractor identifies the document type and returns a class label 3. **Route** – A Switch node sends the item down the matching path (Invoice / Contract / PO) 4. **Merge Binary** – The original file is merged back into the routed item (classification strips the binary) 5. **Extract** – A second easybits Extractor pulls fields specific to that document type 6. **Merge Data + File** – Extracted JSON and original binary are combined for upload 7. **Store & Notify** – The file is uploaded to Google Drive; Invoices update a spreadsheet, Contracts and POs trigger Slack alerts --- ## Setup Guide ### 1. Create Your easybits Classification Pipeline 1. Go to **extractor.easybits.tech** and create a new pipeline 2. Add **one field** called `document_class` 3. In the field prompt, describe your classification categories and how to identify each one (see the "easybits: Classify Document" node for a reference prompt) 4. The prompt should instruct the model to return exactly one category label – no explanations, no extra text 5. Adjust the categories and identification criteria to match your specific document types 6. Copy your **Pipeline ID** and connect the credential in the classification node > 💡 **Tip:** The classification prompt is the heart of this workflow. The more specific your category descriptions and decision rules are, the more accurate your results will be. ### 2. Create Three Extraction Pipelines Create one pipeline per document type on **extractor.easybits.tech**: - **Invoice pipeline** – fields: `invoice_number`, `total_amount`, `currency`, `due_date`, `vendor_name` - **Contract pipeline** – fields: `client_name`, `contract_type`, `contract_value`, `currency`, `start_date`, `notice_period` - **Purchase Order pipeline** – fields: `supplier_name`, `po_number`, `order_date`, `expected_delivery_date`, `total_amount`, `currency` Connect each pipeline's credentials to the matching Extractor node. ### 3. Set Up Gmail Connect your Gmail account via OAuth2. Optionally filter by label to only process specific emails. Make sure **Download Attachments** is enabled in the node options. ### 4. Set Up Google Drive Create three folders in Google Drive: **Invoices**, **Contracts**, **Purchase Orders**. Select the correct folder in each Upload node. Set the **Input Binary Field** to `attachment_0` (or whichever field carries the PDF). ### 5. Set Up Google Sheets Create a spreadsheet (or use an existing Master Finance File). Make sure the column headers match the field mappings in the "Update Master Finance Sheet" node. ### 6. Set Up Slack Connect your Slack workspace. Select the channel for contract notifications (e.g. `#contracts`) and the channel for PO updates (e.g. `#operations`). Adjust the message templates if your extracted field names differ. ### 7. Activate & Test Set the workflow to active and send a test email with an invoice, contract, and purchase order attached to verify each route works end to end.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

Extract YouTube auto-generated transcripts for AI analysis and storage

Workflow preview

Overview

🎬 Extract YouTube auto-generated transcripts and save them for AI processing

Direct YouTube API - Auto-Generated Only

🔄 How It Works (5 Steps)

🔄 Setup steps

🎯 Use Cases

✅ Output Format