Workflow Templates

YouTube Chapter Auto-Description with AI This n8n template automatically adds structured timestamp chapters to your latest YouTube video’s description using your RSS feed, SupaData for transcript extraction, and an AI tool for chapter generation. Ideal for creators who want every video to include chapter markers without doing it manually. Good to Know SupaData extracts full transcripts from YouTube videos via URL. The AI chapter generator converts long transcripts into formatted timestamps with short titles. This workflow edits the existing video description and appends the chapters to the bottom. How It Works The RSS Feed Trigger detects new uploads from your YouTube channel. The workflow checks Airtable to prevent duplicate processing. Transcript is fetched using SupaData API. The total video duration is extracted from the transcript. AI is prompted to generate well-formatted chapter timestamps. The existing description is fetched from YouTube. The chapters are appended and pushed back via the YouTube API. How to Use Start with the Manual Trigger to test the setup. Replace it with the RSS Trigger once you're ready for automation. Chapters are added only if the video hasn't been processed before. Requirements YouTube OAuth2** credentials in n8n SupaData API Key** Airtable account** (for optional deduplication logic) Customizing This Workflow Change the chapter format, or instruct the AI to use emojis, bold titles, or include sections like "sponsor" or "Q&A". Replace the RSS Trigger with a webhook if using a different publishing process.

🧠 Automated Resume & Cover Letter Generator This project is an automation workflow that generates a personalized resume and cover letter for each job listing. 🚀 Features Automated Resume Crafting Generates an HTML resume from your data. Hosts it live on GitHub Pages. Converts it to PDF using Gotenberg and saves it to Google Drive. Automated Cover Letter Generation Uses an LLM to create a tailored cover letter for each job listing. Simple Input Database Agent Stores your experience in an n8n Data Table with the following fields: role, summary, task, skills, tools, industry. The main agent pulls this data using RAG (Retrieval-Augmented Generation) to personalize the outputs. One-Time GitHub Setup Initializes a blank GitHub repository to host HTML files online, allowing Gotenberg to access and convert them. 🧩 Tech Stack Gotenberg** – Converts HTML to PDF GitHub Pages** – Hosts live HTML files n8n** – Handles data tables and workflow automation LLM (OpenAI / Cohere / etc.)** – Generates cover letters Google Drive** – Stores the final PDFs ⚙️ Installation & Setup 1. Create a GitHub Repository This repo will host your HTML resume through GitHub Pages. 2. Set the Webhook URL In the notify-n8n.yml file, replace: role | summary | task | skills | tools | industry 3. Create the n8n Data Table Add the following columns: role | summary | task | skills | tools | industry 4. Create a Google Spreadsheet Add these columns: company | cover_letter | resume 5. Install Gotenberg Follow the installation instructions on the Gotenberg GitHub repository: https://github.com/thecodingmachine/gotenberg 6. Customize the HTML Template Modify the HTML resume to your liking. You can use an LLM to locate and edit specific sections. 7. Add Authentication and Link Your GitHub Repo Ensure your workflow has permission to push updates to your GitHub Pages branch. 8. Run the Workflow Once everything is connected, trigger the workflow to automatically generate and save personalized resumes and cover letters. 📝 How to Use Copy and paste the job listing description into the Telegram bot. Wait for the "Done" notification before submitting another job. Do not use the bot again until the notification appears. The process usually takes a few minutes to complete. ✅ Notes This workflow is designed to save time and personalize your job applications efficiently. By combining n8n automation, LLMs, and open-source tools like Gotenberg, you can maintain full control over your data while generating high-quality resumes and cover letters for every job opportunity.

Recruiter Mirror is a proof‑of‑concept ATS analysis tool for SDRs/BDRs. Compare your LinkedIn or CV to job descriptions and get recruiter‑ready insights. By comparing candidate profiles against job descriptions, it highlights strengths, flags missing keywords, and generates actionable optimization tips. Designed as a practical proof of concept for breaking into tech sales, it shows how automation and AI prompts can turn LinkedIn into a recruiter‑ready magnet. Got it ✅ — based on your workflow (Webhook → LinkedIn CV/JD fetch → GhostGenius API → n8n parsing/transform → Groq LLM → Output to Webhook), here’s a clear list of tools & APIs required to set up your Recruiter Mirror (Proof of Concept) project: 🔧 Tools & APIs Required 1. n8n (Automation Platform) Either n8n Cloud or self‑hosted n8n instance. Used to orchestrate the workflow, manage nodes, and handle credentials securely. 2. Webhook Node (Form Intake) Captures LinkedIn profile (LinkedIn_CV) and job posting (LinkedIn_JD) links submitted by the user. Acts as the starting point for the workflow. 3. GhostGenius API Endpoints Used: /v2/profile → Scrapes and returns structured CV/LinkedIn data. /v2/job → Scrapes and returns structured job description data. Auth**: Requires valid credentials (e.g., API key / header auth). 4. Groq LLM API (via n8n node) Model Used: moonshotai/kimi-k2-instruct (via Groq Chat Model node). Purpose: Runs the ATS Recruiter Check, comparing CV JSON vs JD JSON, then outputs a structured JSON per the ATS schema. Auth**: Groq account + saved API credentials in n8n. 5. Code Node (JavaScript Transformation) Parses Groq’s JSON output safely (JSON.parse). Generates clean, recruiter‑ready HTML summaries with structured sections: Status Reasoning Recommendation Matched keywords / Missing keywords Optimization tips 6. n8n Native Nodes Set & Aggregate Nodes** → Rebuild structured CV & JD objects. Merge Node** → Combine CV data with job description for comparison. If Node** → Validates LinkedIn URL before processing (fallback to error messaging). Respond to Webhook Node** → Sends back the final recruiter‑ready insights in JSON (or HTML). ⚠️ Important Notes Credentials**: Store API keys & auth headers securely inside n8n Credentials Manager (never hardcode inside nodes). Proof of Concept: This workflow demonstrates feasibility but is **not production‑ready (scraping stability, LinkedIn terms of use, and API limits should be considered before real deployments).

Overview This n8n template demonstrates how you can generate an AI-produced weather analysis of your local radar loop and home assistant precipitation sensor(s) to keep your family informed of National Weather Service Alerts. With as crazy as things have been lately in the open world, how will you and your family know when a severe or extreme alert impacts your area? How it Works This workflow is triggered by a webhook which takes a latitude and longitude json payload to identify the area for monitoring. Then, it fetches the National Weather Service Alerts and filters them down to alerts which are currently active and their severity. Next, it fetches the local precipitation value from your Home Assistant instance (a value like "Light Rain" or "No Rain", etc) coupled with your respective weather.gov radar loop image. It then submits this data to OpenAI and produces an output regarding the image analysis. Finally, it takes this analysis and uses OpenAI to again generate a short summary. How to Use Import the workflow into your n8n instance Update the credentials in the problematic nodes Make sure you adjust the radar loop image that is being used Requirements A Home Assistant Instance (you could remove this data if you wanted) An OpenAI account for LLM and image analysis

🧠 Workflow Summary Automates lead management by: 🔗 Webhook Trigger: Captures form data from your website. 🧼 Code Node: Standardizes the data format. 📄 Google Sheets: Appends a new row with lead info. 🔔 Slack Notification: Alerts your team instantly. ⚙️ Quick Setup 1. Import Workflow In n8n, go to Workflows → + New → Import from JSON. 2. Add Credentials Google Sheets**: Use OAuth2 to connect your account. Slack**: Create a Slack App → Add bot scopes → Connect via OAuth2. 3. Google Sheet Prep Create a sheet with these columns in row 1: Full Name Email Address Business Name Project Intent/Needs Project Timeline Budget Range Received At 4. Configure Nodes Webhook**: Use the generated URL in your form settings. Code**: Cleans and maps form fields. Google Sheets Node**: Set to Append Map fields using expressions like ={{ $json.email }} Slack Node**: Choose your channel Send a templated lead alert message with form data 5. Activate & Test Click Activate Send a test POST to the Webhook Confirm: New row in Sheet ✅ Slack alert sent ✅ 🎯 Use this automation to capture leads, log data, and notify your team—all hands-free.

Sync Open House Leads to HubSpot CRM Automatically capture and sync every open house visitor from SignSnapHome.com directly into HubSpot with intelligent lead scoring, automated follow-up emails, and comprehensive contact enrichment. Full Blog Writeup and Setup Video Overview This n8n workflow connects SignSnapHome (open house sign-in app) directly to HubSpot CRM. Every visitor who signs in at your open house is automatically created or updated as a contact in HubSpot, scored as HOT/WARM/COLD lead, and sent a personalized thank you email. Full Setup Tutorial: https://youtu.be/5GrrojIXr40 Perfect for: Real estate agents, brokerages, property managers, and home builders using SignSnap Home for open house sign-ins. Key Features Intelligent Lead Scoring (0-100 points) Base score: 50 points No real estate agent: +30 points High rating (4-5): +20 points Low rating (1-2): -20 points No buyer agreement: +10 points Final status: HOT (70+), WARM (50-69), COLD (0-39), OPEN (40-49) Automated Email Follow-Up Immediate personalized thank you email Conditional messaging based on agent status Different content for leads without agents (offers home buying assistance) Always includes invitation to ask questions Smart Contact Management UPSERT functionality (updates existing or creates new - no duplicates) Sets lifecycle stage to "Lead" Tags source as "Open House" with SignSnap attribution Comprehensive notes with visit details and scoring Flexible Custom Field Support Automatically detects ANY custom fields from your form No workflow modification needed for new fields Formats field names nicely (snake_case → Title Case) Workflow Structure Nodes: Webhook: SignSnap Home - Receives POST data Parse SignSnap Data - Processes and scores leads Has Email? - Validates required field Create/Update HubSpot Contact - Upserts contact Send Thank You Email - Automated follow-up Log Missing Email - Error handling Flow: SignSnap → Parse & Score → Email Check → HubSpot + Email └→ Log Error Setup Instructions Prerequisites SignSnap Home account HubSpot account (free or paid) SMTP email service (Gmail, SendGrid, etc.) n8n instance (self-hosted or cloud) Configuration Steps Configure HubSpot Credentials Add HubSpot OAuth2 credential in n8n Follow OAuth flow to connect Configure Email Credentials Add SMTP credential in n8n Test connection Update Email Settings Open "Send Thank You Email" node Change fromEmail to your address Customize footer if desired Activate & Connect Activate workflow in n8n Copy webhook URL Go to SignSnapHome.com → Settings → Automations Paste webhook URL Enable "Send on each submission" Optional: Custom HubSpot Properties Create these properties in HubSpot (Settings → Properties) for enhanced tracking: last_open_house_property (Text) - Property address visited last_open_house_date (Date) - Visit timestamp has_real_estate_agent (Dropdown) - Yes/No/Not specified property_interest_rating (Number) - 1-5 scale lead_score (Number) - Calculated score lead_status (Dropdown) - HOT/WARM/COLD/OPEN Note: Workflow functions without these - they enhance reporting only. What Gets Synced To HubSpot: Email, first name, last name, phone Lifecycle stage: "Lead" Lead source: "Open House" Visit details in notes (property, date, agent status, rating) Lead score and status All custom form fields Email Sent: Personalized greeting with first name Thank you for visiting [property] Conditional offer to help (if no agent) Invitation to ask questions Professional signature Lead Scoring Logic | Factor | Points | Reasoning | |--------|--------|-----------| | Base | 50 | Starting point | | No Agent | +30 | Available, not represented | | Rating 4-5 | +20 | High interest | | Rating 1-2 | -20 | Low interest | | No Buyer Agreement | +10 | Not contractually bound | Email Personalization Without Agent: > Hi [Name]! Thank you for visiting [Property] today. Our team would love to help you on your home buying journey! We specialize in this area and can provide exclusive listings and personalized service. If you have any questions... With Agent: > Hi [Name]! Thank you for visiting [Property] today. If you have any questions about this property or would like to schedule another viewing, please don't hesitate to reply... Error Handling No Email Provided: Cannot create HubSpot contact (email required) Lead logged to error output Can connect to Google Sheets or alert system Recommendation: Make email required in SignSnap Customization Ideas Auto-assign to agent - Match property to territory Create deals - Automatic deal creation for HOT leads Add to lists - Property-specific list segmentation Trigger workflows - HubSpot nurture sequences SMS follow-up - Add Twilio for text messages Photo upload - Attach guest photos to contacts Troubleshooting "Invalid email" - Check SignSnap email validation "Property doesn't exist" - Create custom property or remove from config "Authentication failed" - Reconnect HubSpot OAuth2 "No contacts appearing" - Check execution history, verify email provided "Email not sending" - Verify SMTP credentials and FROM address Analytics & Reporting Create these HubSpot reports: Open house conversion funnel Property performance by address Lead quality distribution (HOT/WARM/COLD) Agent performance metrics Source ROI analysis Use Cases Solo agents: Instant lead capture and follow-up Real estate teams: Centralized lead database Brokerages: Multi-agent, multi-property tracking Property managers: Attendance monitoring Home builders: Model home visitor capture Technical Details Endpoint: /signsnap-hubspot Method: POST Content-Type: application/json Processing Time: <2 seconds Error Rate: <1% (typically missing email only) Why Use This Workflow Zero manual data entry Instant lead scoring and prioritization Automated multi-channel follow-up No transcription errors Scales to unlimited open houses Works for solo agents or large teams Tags real-estate crm hubspot lead-management open-house signsnap automation contact-sync email-automation lead-scoring Difficulty: Intermediate Nodes: 6 Services: SignSnap Home, HubSpot, SMTP Setup Time: ~15 minutes

This template demonstrates how to build an AI-powered name generator that creates realistic names perfect for UX/UI designers, developers, and content creators. Use cases: User persona creation, mockup development, prototype testing, customer testimonials, team member listings, app interface examples, website content, accessibility testing, and any scenario requiring realistic placeholder names. How it works AI-Powered Generation:** Uses any LLM to generate names based on your specifications Customizable Parameters:** Accepts gender preferences, name count, and optional reference names for style matching UX/UI Optimized:** Names are specifically chosen to work well in design mockups and prototypes Smart Formatting:** Returns clean JSON arrays ready for integration with design tools and applications Reference Matching:** Can generate names similar in style to a provided reference name How to set up Replace "Dummy API" credentials with your preferred language model API key Update webhook path and authentication as needed for your application Test with different parameters: gender (masculine/feminine/neutral), count (1-20), reference_name (optional) Integrate webhook URL with your design tools, Bubble apps, or other platforms Requirements LLM API access (OpenAI, Claude, or other language model) n8n instance (cloud or self-hosted) Platform capable of making HTTP POST requests API Usage POST to webhook with JSON body: { "gender": "masculine", "count": 5, "reference_name": "Alex Chen" // optional } Response: { "success": true, "names": ["Marcus Johnson", "David Kim", "Sofia Rodriguez", "Chen Wei", "James Wilson"], "count": 5 } How to customize Modify AI prompt for specific naming styles or regions Add additional parameters (age, profession, cultural background) Connect to databases for persistent name storage Integrate with design tools APIs (Figma, Sketch, Adobe XD) Create batch processing for large mockup projects

📧 Auto-Send AI Follow-Up Emails to Zoom Attendees This workflow automatically emails personalized follow-ups to every Zoom meeting participant once the meeting ends. ⚙️ How It Works Zoom Webhook → Captures meeting.ended event + participant list. Normalize Data → Extracts names, emails, and transcript (if available). AI (GPT-4) → Drafts short, professional follow-up emails. Gmail → Sends thank-you + recap email to each participant. 🛠️ Setup Steps 1. Zoom App Enable meeting.ended event. Include participant email/name in webhook payload. Paste workflow webhook URL. 2. Gmail Connect Gmail OAuth in n8n. Emails are sent automatically per participant. 3. OpenAI Add your OpenAI API key. Uses GPT-4 for personalized drafting. 📊 Example Output Email Subject: Follow-Up: Marketing Strategy Session Email Body: Hi Sarah, Thank you for joining our Marketing Strategy Session today. Key points we discussed: Campaign launch next Monday Budget allocation approved Need design assets by Thursday Next steps: I'll follow up with the creative team and share the updated timeline. Best, David ⚡ With this workflow, every attendee feels valued and aligned after each meeting.

Arabic OCR Telegram Bot How it Works Receive PDF Files - Users send PDF documents via Telegram to the bot OCR Processing - Mistral AI's OCR service extracts Arabic text from document pages Text Organization - Processes and formats extracted content with page numbers Create Google Doc - Generates a formatted document with all extracted text Deliver Results - Sends users a clickable link to their processed document Set up Steps Setup Time: ~20 minutes Create Telegram Bot - Get bot token from @BotFather on Telegram Configure APIs - Set up Mistral AI OCR and Google Docs API credentials Set Folder Permissions - Create Google Drive folder for storing results Test Bot - Send a sample Arabic PDF to verify OCR accuracy Deploy Webhook - Activate the Telegram webhook for real-time processing Detailed API configuration and Arabic text handling notes are included as sticky notes within the workflow. What You'll Need: Telegram Bot Token (free from @BotFather) Mistral AI API key (OCR service) Google Docs/Drive API credentials Google Drive folder for document storage Sample Arabic PDF files for testing Key Features: Real-time progress updates (5-step process notifications) Automatic page numbering in Arabic Direct Google Docs integration Error handling for non-PDF files

Who's it for Business owners, freelancers, and professionals who use Cal.com or Calendly for scheduling and want instant WhatsApp notifications for all booking activities without constantly checking their email or calendar apps. What it does This workflow automatically monitors your calendar booking events from both Cal.com and Calendly, then sends beautifully formatted WhatsApp messages to notify you of: New bookings with guest details Rescheduled meetings with old vs new times Cancelled appointments Meeting completion notifications (Cal.com only) The AI agent intelligently formats each message with emojis, proper spacing, and all relevant booking information including guest names, emails, dates, times, locations, and notes. How it saves you time Stop checking multiple platforms: Instead of constantly monitoring email notifications, calendar apps, and booking dashboards, get everything instantly on WhatsApp - the app you're already using throughout the day. Immediate awareness: Know about booking changes the moment they happen, not hours later when you finally check your email. This means you can quickly adjust your schedule, prepare for meetings, or reach out to clients if needed. Mobile-first notifications: Since most people check WhatsApp more frequently than email, you'll never miss important booking updates again. Perfect for busy professionals who are often away from their desk. How it works When a booking event occurs on either platform, the workflow captures the data, merges it through an aggregator, then uses Google Gemini AI to generate a professionally formatted WhatsApp message that gets sent instantly to your phone. Requirements Cal.com and/or Calendly account with API access WhatsApp Business API credentials Google API key for Gemini Active webhook endpoints for both calendar services How to customize Update the recipient phone number in the WhatsApp node Modify message templates in the AI Agent's system prompt Add additional calendar platforms by connecting more trigger nodes Customize emoji usage and message formatting to match your brand

YouTube Transcript Extractor This n8n template demonstrates how to extract transcripts from YouTube videos using two different approaches: automated Google Sheets monitoring and direct webhook API calls. Use cases: Content creation, research, accessibility, meeting notes, content repurposing, SEO analysis, or building transcript databases for analysis. How it works Google Sheets Integration:** Monitor a sheet for new YouTube URLs and automatically extract transcripts Direct API Access:** Send YouTube URLs via webhook and get instant transcript responses Smart Parsing:** Extracts video ID from various YouTube URL formats (youtube.com, youtu.be, embed) Rich Metadata:** Returns video title, channel, publish date, duration, and category alongside transcript Fallback Handling:** Gracefully handles videos without available transcripts Two Workflow Paths Automated Sheet Processing: Add URLs to Google Sheet → Auto-extract → Save results to sheet Webhook API: Send POST request with video URL → Get instant transcript response How to set up Replace "Dummy YouTube Transcript API" credentials with your YouTube Transcript API key Create your own Google Sheet with columns: "url" (input sheet) and "video title", "transcript" (results sheet) Update Google Sheets credentials to connect your sheets Test each workflow path separately Customize the webhook path and authentication as needed Requirements YouTube Transcript API access (youtube-transcript.io or similar) Google Sheets API credentials (for automated workflow) n8n instance (cloud or self-hosted) YouTube videos How to customize Modify transcript processing in the Code nodes Add additional metadata extraction Connect to other storage solutions (databases, CMS) Add text analysis or summarization steps Set up notifications for new transcripts

Who’s it for Teams that collect meeting requests via a form and want instant, error-free scheduling: customer success, sales, education, agencies, and community managers. How it works / What it does This workflow ingests a form submission (name, email, preferred date/time), checks Google Calendar for conflicts, and branches automatically. If the slot is free, it creates a calendar event, spins up a Zoom meeting, emails the guest a confirmation, and posts a Slack summary to your team. If busy, it sends a polite “please pick another time” email. Time handling defaults to Asia/Tokyo and converts to ISO internally to keep downstream integrations consistent. How to set up Import the workflow and rename nodes for clarity if needed. Open the Workflow Configuration (Set) node and adjust variables (calendar ID, meeting duration, Slack channel, sender info). Map your form fields in Extract Booking Details. Connect credentials in each service node (Google Calendar, Zoom, Gmail, Slack). Test once with a real submission. Requirements Active accounts and n8n credentials for Google Calendar, Zoom, Gmail, and Slack. A form or webhook source that sends name, email, and a valid datetime. How to customize the workflow Duration & buffers: Change end time calculation in Extract Booking Details. Time zones: If you accept multiple time zones, normalize before building ISO strings. Email copy: Personalize confirmation/alternative-time messages and add attachments if desired. Slack format: Enrich the post with fields (host, Zoom join URL, internal tags). Routing: Add CRM updates or reminders after the “slot free” branch. Security note: No hardcoded API keys in HTTP nodes. Configure all credentials via n8n’s credential manager.