Learn n8n basics in 3 easy steps ✨
New to n8n? This simple tutorial is the perfect way to get started. In just a few minutes, you’ll build your first automation that runs on a schedule, fetches fresh data from the internet and delivers it straight to your inbox. What you’ll do Run the workflow to grab a random inspirational quote. See how data flows through each node as it moves from an API call to processing results. Connect Gmail and send the quote directly to your email. What you’ll learn How to trigger workflows manually and on a schedule ⏰ How to connect to external APIs and fetch data 🌐 How to use the Set node to structure and map data 🔧 How to connect Gmail to send the data 📩 Why it matters This workflow shows you the n8n basics step by step - no code required. By the end, you’ll know how to build, test, and share automations that run on their own, giving you the confidence to explore more advanced use cases. 🚀
By MihaAI-powered WhatsApp chatbot 🤖📲 for text, voice, images & PDFs with memory 🧠
This workflow is a highly advanced multimodal AI assistant designed to operate through WhatsApp. It can understand and respond to text, images, voice messages, and PDF documents by combining OpenAI models with smart logic to adapt to the content received. --- 🎯 Core Features 📥 1. Automatic Message Type Detection Using the Input type node, the bot detects whether the user has sent: Text Voice messages Images Files (PDF) Other unsupported content 💬 2. Smart Text Message Handling Text messages are processed by an OpenAI GPT-4o-mini agent with a customized system prompt. Replies are concise, accurate, and formatted for mobile readability. 🖼️ 3. Image Analysis & Description Images are downloaded, converted to base64, and analyzed by an image-aware AI model. The output is a rich, structured description, designed for visually impaired users or visual content interpretation. 🎙️ 4. Voice Message Transcription & Reply Audio messages are downloaded and transcribed using OpenAI Whisper. The transcribed text is analyzed and answered by the AI. Optionally, the AI reply can be converted back to voice using OpenAI's text-to-speech, and sent as an audio message. 📄 5. PDF Document Extraction & Summary Only PDFs are allowed (filtered via MIME type). The document’s content is extracted and combined with the user's message. The AI then provides a relevant summary or answer. 🧠 6. Contextual Memory Each user has a personalized session ID with a memory window of 10 interactions. This ensures a more natural and contextual conversation flow. --- How It Works Thisworkflow is designed to handle incoming WhatsApp messages and process different types of inputs (text, audio, images, and PDF documents) using AI-powered analysis. Here’s how it functions: Trigger: The workflow starts with the WhatsApp Trigger node, which listens for incoming messages (text, audio, images, or documents). Input Routing: The Input type (Switch node) checks the message type and routes it to the appropriate processing branch: Text: Directly forwards the message to the AI agent for response generation. Audio: Downloads the audio file, transcribes it using OpenAI, and sends the transcription to the AI agent. Image: Downloads the image, analyzes it with OpenAI’s GPT-4 model, and generates a detailed description. PDF Document: Downloads the file, extracts text, and processes it with the AI agent. Unsupported Formats: Sends an error message if the input is not supported. AI Processing: The AI Agent1 node, powered by OpenAI, processes the input (text, transcribed audio, image description, or PDF content) and generates a response. Response Handling: For audio inputs, the AI’s response is converted back into speech (using OpenAI’s TTS) and sent as a voice message. For other inputs, the response is sent as a text message via WhatsApp. Memory: The Simple Memory node maintains conversation context for follow-up interactions. Setup Steps To deploy this workflow in n8n, follow these steps: Configure WhatsApp API Credentials: Set up WhatsApp Business API credentials (Meta Developer Account). Add the credentials in the WhatsApp Trigger, Get Image/Audio/File URL, and Send Message nodes. Set Up OpenAI Integration: Provide an OpenAI API key in the Analyze Image, Transcribe Audio, Generate Audio Response, and AI Agent1 nodes. Adjust Input Handling (Optional): Modify the Switch node ("Input type") to handle additional message types if needed. Update the "Only PDF File" IF node to support other document formats. Test & Deploy: Activate the workflow and test with different message types (text, audio, image, PDF). Ensure responses are correctly generated and sent back via WhatsApp. --- Need help customizing? Contact me for consulting and support or add me on Linkedin.
By DavideTurn YouTube videos into summaries, transcripts, and visual insights
Who is this for? This workflow is built for anyone who works with YouTube content, whether you're: A learner looking to understand a video’s key points A content creator repurposing video material A YouTube manager looking to update titles, descriptions A social media strategist searching for the most shareable clips Don't just ask questions about what's said. Find out what's going on in a video too. Video Overview: https://www.youtube.com/watch?v=Ovg_KfKxnC8 What problem does this solve? YouTube videos hold valuable insights, but watching and processing them manually takes time. This workflow automates: Quick content extraction: Summarize key ideas without watching full videos Visual analysis: Understand what’s happening beyond spoken words Clip discovery: Identify the best moments for social sharing How the workflow works This n8n-powered automation: Uses Google’s Gemini 1.5 Flash AI for intelligent video analysis Provides multiple content analysis templates tailored to different needs What makes this workflow powerful? The easiest place to start is by requesting a summary or transcript. From there, you can refine the prompts to match your specific use case and the type of video content you’re working with. But what's even more amazing? You can ask questions about what’s happening in the video — and get detailed insights about the people, objects, and scenes. It's jaw-dropping. This workflow is versatile — the actions adapt based on the values set. That means you can use a single workflow to: Extract transcripts Generate an extended YouTube description Write a summary blog post You can also modify the trigger based on how you want to run the workflow — use a webhook, connect it to an event in Airtable, or leave it as-is for on-demand use. The output can then be sent anywhere: Notion, Airtable, CMS platforms, or even just stored for reference. How to set it up Connect your Google API key Paste a YouTube video URL Select an analysis method Run the workflow and get structured results Analysis Templates Basic & Timestamped Transcripts: Extract spoken content Summaries: Get concise takeaways Visual Scene Analysis: Detect objects, settings, and people Clip Finder: Locate shareable moments Actionable Insights: Extract practical information Customization Options Modify templates to fit your needs Connect with external platforms Adjust formatting preferences Advanced Configuration This workflow is designed for use with gemini-1.5-flash. In the future, you can update the flow to work with different models or even modify the HTTP request node to define which API endpoint should be used. It's also been designed so you can use this flow on it's own or add to a new / existing worflow. This workflow helps you get the most out of YouTube content — quickly and efficiently.
By Colleen BradySend Google Drive files to Notion database
This workflow sends a file to a Notion database of your choosing when a new file is created in a specific Google Drive folder. Prerequisites Notion account and Notion credentials. Google account and Google credentials. Google Drive folder to monitor for new files. How it works When a Google Drive file is created in the folder you specified, the workflow sends the file to the Notion database you created. The workflow uses the On file upload node to trigger the workflow when a new file is created in the folder. The Create database page node creates a new page in the Notion database you created. Setup Create a Notion database called "My Google Drive Files" with the following columns: Filename Google Drive File Share the database to n8n. In the n8n workflow, click on the Create database page node and select the database you created in step 1. In Google Drive, create a folder and navigate to it. Copy the URL of the Google Drive folder you are currently in. In the n8n workflow, add the folder URL to On file upload node.
By n8n TeamPosting from Wordpress to Medium
Usage This workflow gets all the posts from your WordPress site and sorts them into a clear format before publishing them to medium. Step 1. Set up the HTTP node and set the URL of the source destination. This will be the URL of the blog you want to use. We shall be using https://mailsafi.com/blog for this. Step 2. Extract the URLs of all the blogs on the page This gets all the blog titles and their URLs. Its an easy way to sort ou which blogs to share and which not to share. Step 3. Split the entries for easy sorting or a cleaner view. Step 4. Set a new https node with all the blog URLs that we got from the previous steps. Step 5. Extract the contents of the blog Step 6. Add the medium node and then set the contents that you want to be shared out. Execute your workflow and you are good to go
By Zacharia KimothoMedical symptom checker & health assistant with GPT-4-mini
AI Medical Symptom Checker & Health Assistant A responsible, privacy-focused health information assistant that provides general health guidance while maintaining strict safety protocols and medical disclaimers. ⚠️ IMPORTANT DISCLAIMER This tool provides general health information only and is NOT a substitute for professional medical advice, diagnosis, or treatment. Always consult qualified healthcare providers for medical concerns. 🚀 Key Features Safety First Emergency Detection: Automatically identifies emergency situations Immediate Escalation: Provides emergency numbers for critical cases Clear Disclaimers: Every response includes medical disclaimers No Diagnosis: Never attempts to diagnose conditions Professional Referral: Always recommends consulting healthcare providers Core Functionality Symptom Information: General information about common symptoms Wellness Guidance: Health tips and preventive care Medication Reminders: General medication information Multi-Language Support: Serve diverse communities Privacy Protection: No data storage, anonymous processing Resource Links: Connects to trusted health resources 🎯 Use Cases General Health Information: Learn about symptoms and conditions Pre-Appointment Preparation: Organize questions for doctors Wellness Education: General health and prevention tips Emergency Detection: Immediate guidance for critical situations Health Resource Navigation: Find appropriate care providers 🛡️ Safety Protocols Emergency Keywords Detection Chest pain, heart attack, stroke Breathing difficulties Severe bleeding, unconsciousness Allergic reactions, poisoning Mental health crises Response Guidelines Never diagnoses conditions Never prescribes medications Always includes disclaimers Encourages professional consultation Provides emergency numbers when needed 🔧 Setup Instructions Configure OpenAI API Add your API key Set temperature to 0.3 for consistency Review Legal Requirements Check local health information regulations Customize disclaimers as needed Implement required data policies Emergency Contacts Update emergency numbers for your region Add local health resources Include mental health hotlines Test Thoroughly Verify emergency detection Check disclaimer display Test various symptom queries 💡 Example Interactions General Symptom Query: User: "I have a headache for 3 days" Bot: Provides general headache information, self-care tips, when to see a doctor Emergency Detection: User: "Chest pain, can't breathe" Bot: EMERGENCY response with immediate action steps and emergency numbers Wellness Query: User: "How can I improve my sleep?" Bot: General sleep hygiene tips and healthy habits information 🏥 Integration Options Healthcare Websites: Embed as support widget Telemedicine Platforms: Pre-consultation tool Health Apps: General information module Insurance Portals: Member resource Pharmacy Systems: General drug information 📊 Compliance & Privacy HIPAA Considerations: No PHI storage GDPR Compliant: No personal data retention Anonymous Processing: Session-based only Audit Trails: Optional logging for compliance Data Encryption: Secure transmission 🚨 Limitations Cannot diagnose medical conditions Cannot prescribe treatments Cannot replace emergency services Cannot provide specific medical advice Should not delay seeking medical care 🔒 Best Practices Always maintain clear disclaimers Never minimize serious symptoms Encourage professional consultation Keep information general and educational Update emergency contacts regularly Review and update health information Monitor for misuse Maintain audit trails where required 🌍 Customization Options Add local emergency numbers Include regional health resources Translate to local languages Integrate with local health systems Add specific disclaimers Customize for specific populations Start providing responsible health information today!
By Jah coozi💬 Daily WhatsApp group summarizer – GPT-4o, Google Sheets & Evolution API
Hey! I’m Amanda ❤️ I made this little workflow with care for people like you who are part of busy WhatsApp groups and want a simple way to keep track of everything. It connects to Evolution API, collects all the group messages throughout the day, stores them in Google Sheets, and uses GPT-4o to generate a daily summary. The summary is saved as a document in Google Drive — ready to read, share, or archive. It’s perfect for teams, communities, classes, or any group that talks a lot but doesn’t want to miss important info. --- What it does Collects WhatsApp group messages using Evolution API Saves the messages in Google Sheets (organized by date) Creates a clean, structured summary using GPT-4o Saves the summary in Google Drive as a doc Can run daily at a set time (fully automated) --- How to set it up Connect your Evolution API and provide the group ID Use this Google Sheets template Connect Google Sheets and Google Drive in n8n Add your OpenAI API key (Optional) Adjust the AI prompt for a custom tone or structure --- ✅ Works on both n8n Cloud and Self-hosted 🔐 All credentials stay safe in n8n --- Want to customize this for your group or business? ❤️ Buy Workflows: https://iloveflows.gumroad.com 💬 Hire My Services: +5517991557874 (WhatsApp) --- --- Tradução em Português (pt-br): Oi! Eu sou a Amanda 💬 Se você participa de grupos movimentados no WhatsApp e quer transformar tudo isso em resumos diários organizadinhos, esse fluxo foi feito com todo carinho pra você! Ele conecta com a API da Evolution, coleta as mensagens trocadas em grupos, armazena tudo no Google Sheets, e no fim do dia gera um resumo completo usando GPT-4o. Esse resumo é salvo como documento no seu Google Drive — pronto pra ser lido, compartilhado ou arquivado. Ideal pra equipes, comunidades, projetos colaborativos ou até grupos de estudos 📚 --- O que o fluxo faz Monitora e salva conversas do grupo no Google Sheets Gera resumos diários com IA (formato estruturado e pronto pra leitura) Salva o resumo como documento no seu Google Drive Funciona com qualquer grupo conectado à sua conta Evolution Pode ser agendado pra rodar automaticamente todo fim de dia --- Como configurar Conecte sua API Evolution e informe o ID do grupo Use essa planilha modelo para armazenar as mensagens Conecte sua conta do Google (Sheets + Drive) Adicione sua chave da OpenAI Personalize o prompt do resumo (opcional) --- ✅ Compatível com n8n Cloud e Auto-hospedado 🔐 Tudo seguro, simples e sem complicações --- Quer adaptar esse fluxo pro seu sistema? ❤️ Buy Workflows: https://iloveflows.gumroad.com 💬 Hire My Services: +5517991557874 (WhatsApp)
By Amanda Benks🧑🦯Improve your website accessibility with GPT-4o and Google Sheet
Tags: Accessibility, SEO, Blogging, Marketing, Automation, AI, Web Auditing Context Hey! I’m Samir, a Supply Chain Engineer and Data Scientist from Paris, and the founder of LogiGreen Consulting. In my personal blog, I share insights on how to use AI, automation, and data analytics to improve logistics, operations, and digital sustainability practices. > Have you heard about accessibility? In this workflow, I use n8n to improve the quality of alternative texts for images on my personal website. 📬 For business inquiries, you can connect with me on LinkedIn Who is this template for? This workflow is for: Bloggers and website owners who want to improve accessibility SEO professionals looking to boost page performance Web developers and product teams automating web audits What does it do? This n8n workflow: 🔍 Downloads the HTML of a blog or web page 🖼️ Extracts all <img> tags and their alt attributes 📉 Detects missing or too-short alt texts 🤖 Sends those images to GPT-4o (with vision) to generate new alt descriptions 📄 Saves the results into a Google Sheet, updating the alt text when needed How it works Set a page URL using the Set node Download HTML content Extract image src and alt using a Code node Store results in a Google Sheet Filter images with altLength < 50 Send image URL to GPT-4o Update the Google Sheet with the newly generated newAlt text The AI alt texts are concise, descriptive, and accessibility-compliant. What do I need to get started? You’ll need: A Google Sheet to store the audit results An OpenAI account with GPT-4o access Follow the Guide! Follow the sticky notes in the workflow or check my tutorial to configure each node and start using AI to improve the accessibility of your website. [](https://www.youtube.com/watch?v=LwTIro6Rapk) 🎥 Watch My Tutorial Notes GPT-generated alt texts are limited to ~125–150 characters for best results Use this to comply with WCAG and improve Google indexing Easily adapt it to audit multiple domains or e-commerce catalogues This workflow was built using n8n version 1.85.4 Submitted: April 21, 2025
By Samir SaciBusiness model canvas AI-powered generator (LLM flexible)
👥 Who is this for? Startup founders validating or pitching new ideas Business consultants running strategy sessions Product teams defining business logic visually Agencies offering planning frameworks to clients --- ❓ What problem does this workflow solve? Creating a Business Model Canvas manually is time-consuming and often scattered across tools. This workflow solves that by allowing users to generate a fully populated, formatted, and printable Business Model Canvas in seconds using the power of AI, all structured in a professional A4 landscape layout. --- ⚙️ What this workflow does Starts with a chat input asking for your business idea Sends it to 9 separate AI agents, each focused on one section: Key Partners Key Activities Value Proposition Customer Relationships Customer Segments Key Resources Channels Cost Structure Revenue Streams Uses your preferred LLM (see below) to generate meaningful bullet points Converts output into a specific format Merges all sections into a clean, A4-styled HTML canvas Exports the result as a downloadable .html file --- 🛠️ Setup Import the workflow into your n8n instance Start the flow from the “When chat message received” node Describe your business idea when prompted (e.g., “Online bookshop with rare Persian literature”) Wait for AI processing to complete Visit the last node “HTML code to HTML file” Click Download to get your final canvas in .html format --- 🤖 LLM Flexibility (Choose Your Model) This template supports any AI model with a chat interface: Ollama (self-hosted models like LLaMA, etc.) OpenAI (GPT-4, GPT-3.5) Anything with a compatible node You can easily change the LLM by updating the Language Model Node. No need to modify any other logic or formatting. --- 🧪 How to customize this workflow Change the LLM model from the Ollama node to OpenAI, etc. Modify the final HTML layout in the “Turn to HTML” node Add a PDF export, email delivery, or Google Drive sync Replace the chat trigger with a webform, CRM hook, etc. --- ✅ Requirements A working LLM integration (Ollama or OpenAI recommended) n8n (self-hosted or cloud) --- 📌 Notes Sticky notes included for setup and instructions Each node clearly named by function (e.g. "Customer Segments Generator") Designed for speed, structure, and professional presentation --- 📩 Need help? For setup questions, custom features, or LLM integration support, contact: sinamirshafiee@gmail.com
By Sina🛠️ Change Binary MimeType/Extension
How it works This workflow changes the file name, and therefore the extension and MIME type, of any binary file passed to it. This is perfect for converting file formats on the fly, like turning a Telegram voice message (.oga) into an MP3 for an AI transcription service. Set New File Name: The SET OUTPUT FILE NAME node is where you define the desired output file name and extension (e.g., audio.mp3). It also dynamically captures the property name of the incoming binary (e.g., data). Extract Binary Data: The workflow temporarily converts the binary file into a Base64 text string to make it accessible in the next step. Rebuild Binary with New Name: A Code node takes the Base64 data and reconstructs it as a binary file, but this time, it assigns the new file name you specified. n8n automatically sets the MIME type based on the new file extension. Set up steps Setup time: < 1 minute This workflow is designed to be used as a sub-workflow. In your main workflow, add an Execute Sub-Workflow node where you need to change a file's type. In the Workflow parameter, select this "Change Binary MimeType/Extension" workflow. Open this workflow and go to the SET OUTPUT FILE NAME node. Modify the outputfilename value to your desired file name (e.g., voice_message.mp3 or document.pdf). Save this workflow. Now, any binary file you send to it from your main workflow will be returned with the new fileName and mimeType.
By Lucas PeyrinCreate a dynamic Telegram bot menu system with multi-level navigation
🤖 Telegram Bot with Dynamic Multi-Level Menu System What This Workflow Does Ever wanted to build a Telegram bot with professional-looking menus that actually work? This n8n workflow creates an interactive bot with dynamic inline keyboards, multi-level navigation, and smart button routing - all without writing complex code from scratch. The bot features a clean separation between your menu structure and business logic. This means you can change your menus anytime without breaking the underlying functionality. Think of it like WordPress menus but for Telegram bots - you define the navigation, and the workflow handles everything else. Your bot will respond with personalized messages, remember user context, handle button clicks smoothly (no annoying loading spinners!), and route different actions to specialized handlers. Whether users are rating your service, checking their subscription status, or navigating through settings, everything just works. 🚀 Getting Started in 3 Minutes Step 1: Get Your Bot Token Head over to Telegram and chat with @BotFather. Create a new bot (or use an existing one) and grab that token. In the workflow, find the purple "Set Bot Token" node and replace [!!! YOURBOTTOKEN_HERE !!!] with your actual token. Step 2: Activate the Magic Save the workflow, click on "Production" tab, and you'll see a webhook URL. Toggle the workflow to Active. That's it - your bot is live! Step 3: See It In Action Message your bot on Telegram. Type /start and watch your beautiful menu appear. Click around, explore the buttons - everything is already set up and working. 🎨 Making It Yours Want to Add Your Own Menus? Open the workflow and look for the sticky note titled "📖 COMPLETE GUIDE: ADDING MENUS & ACTIONS". I've written step-by-step instructions right there in the workflow. You'll find exact examples showing how to add a contact menu, subscription status checker, or whatever you need. The beauty is in the simplicity - menus are just text and buttons. No complicated logic mixed in. Check the "📚 REAL EXAMPLES" sticky note for copy-paste templates you can modify. Need Custom Actions? When a button needs to actually DO something (save data, call an API, send an email), that's where handlers come in. The workflow includes 7 pre-built handlers for common tasks like ratings, language switching, and analytics. Want to add your own? The "💡 ADDING HANDLERS" sticky note walks you through it. 💡 Why This Workflow Is Different Most Telegram bot tutorials have you mixing menu code with business logic, making changes a nightmare. This workflow separates everything cleanly. Your menus live in one place, your logic in another. It's like having a control panel for your bot. The workflow also solves a common n8n limitation - the native Telegram node doesn't support dynamic inline keyboards. Instead of giving up, this workflow uses HTTP requests directly to the Telegram API, giving you full control over every feature. 🔧 Pro Tips from the Trenches After building dozens of Telegram bots, here's what I've learned: Always include a "Back" button - users panic without an escape route Use emojis in your buttons - they make everything friendlier Test each menu path after changes - one typo can break navigation Keep action handlers focused - one handler, one job Hit a snag? Check the "🐛 TROUBLESHOOTING & TIPS" sticky note in the workflow. I've documented all the common "gotchas" and their fixes. 📦 What's Included This workflow comes with everything you need: Centralized menu configuration system Smart routing that automatically detects which button was pressed 7 ready-to-use action handlers (modify or replace as needed) Parallel processing for lightning-fast responses Built-in error handling with fallback menus Comprehensive documentation right in the workflow via sticky notes 🚀 Taking It Further Once you're comfortable with the basics, this architecture scales beautifully. Connect a database to remember user preferences. Integrate with your CRM to pull customer data. Add payment processing for a shopping bot. The modular design means you can enhance one part without touching the others. The workflow sticky notes contain advanced examples for multi-language support, user authentication, and API integrations. Everything is explained in plain English with code examples you can actually use. 🤝 One Last Thing This workflow started as a simple dynamic menu with rating workflow and evolved into something much more powerful through community feedback. If you build something cool with it, I'd love to hear about it. And if you get stuck, remember - all the answers are in those sticky notes. I spent way too much time making them ridiculously detailed so you wouldn't have to struggle like I did. Happy bot building! 🎯 --- Version: 1.0 - Centralized Menu System with Branching Author: Ruslan Elishev
By Ruslan Elishev🚚 Estimate driving time and distance for logistics with Open Route API
Tags: Supply Chain, Logistics, Route Planning, Transportation, GPS API Context Hi! I’m Samir, a Supply Chain Engineer and Data Scientist based in Paris, and founder of LogiGreen Consulting. I help companies improve their logistics operations using data, AI, and automation to reduce costs and minimize environmental footprint. > Let’s use n8n to build smarter and greener transport operations! 📬 For business inquiries, you can add find me on LinkedIn Who is this template for? This workflow is designed for logistics and transport teams who want to automate distance and travel time calculations for truck shipments. [](https://www.youtube.com/watch?v=uJtp2NsmR2E) Ideal for: Control tower dashboards Transport cost simulations Route optimisation studies [](https://www.youtube.com/watch?v=uJtp2NsmR2E) How does it work? This n8n workflow connects to a Google Sheet where you store city-to-city shipment lanes, and uses the OpenRouteService API to calculate: 📏 Distance (in meters) ⏱️ Travel time (in seconds) 🪪 Number of route steps Steps: ✅ Load departure/destination city coordinates from a Google Sheet 🔁 Loop through each record 🚚 Query OpenRouteService using the truck (driving-hgv) profile 🧾 Extract and store results: distance, duration, number of steps 📤 Update the Google Sheet with new values What do I need to get started? This workflow is beginner-friendly and requires: A Google Sheet with route pairs (departure and destination coordinates) A free OpenRouteService API key 👉 Get one here Next Steps 🗒️ Follow the sticky notes inside the workflow to: Select your sheet Plug in your API key Launch the flow! [](https://www.youtube.com/watch?v=uJtp2NsmR2E) 🎥 Check the Tutorial 🚀 You can customize the workflow to: Add CO2 emission estimates for Sustainability Reporting Connect to your TMS via API or EDI This template was built using n8n v1.93.0 Submitted: June 1, 2025
By Samir Saci