Explore n8n nodes in a visual reference library
WATCH THE n8n STARTER GUIDE 👇 [](https://www.youtube.com/watch?v=It3CkokmodE&list=PL1Ylp5hLJfWeL9ZJ0MQ2sK5y2wPYKfZdE&index=1&pp=gAQBiAQBsAQB) This template is featured in the n8n Starter Guide series. The template is free, but comes with two additional PDFs and a Quick Start video if you grab the full download pack on gumroad. How it works This template is a visual map of many useful n8n nodes. It groups nodes like Triggers, AI tools, and App connectors onto the canvas. Explore the sections to learn about different nodes and easily copy them for your own workflows. It acts as a handy visual reference guide. Set up steps • Setup takes about 5 minutes. • Import the template into your n8n instance. • Explore the node categories visually on the canvas. • A Quick Start video is included in the download pack, along with a prompts PDF and PDF with links to other awesome n8n templates here on the n8n template gallery.
By I versus AIEvaluate tool usage accuracy in multi-agent AI workflows using evaluation nodes
Who's it for ------------ This workflow is ideal for AI developers running multi-agent systems in n8n who need to quantitatively evaluate tool usage behavior. If you're building autonomous agents and want to verify their decisions against ground-truth expectations, this workflow gives you plug-and-play observability. What it does ------------ This template uses n8n's built-in Evaluation Trigger and Evaluation nodes to assess whether an AI agent correctly used all the expected tools. It supports: Dataset-driven testing of agent behavior Logging actual tools to compare them with the expected tools Assigning performance metrics (tool_called = true/false) Persisting output back to Google Sheets for further debugging The workflow can be triggered by either the chat input or the dataset row evaluation. It routes through a multi-tool agent node powered by the best LLMs. The agent has access to tools such as web search, calculator, vector search, and summarizer tools. The workflow then aims to validate tool use decisions by extracting the intermediate steps from the agent (i.e., action + observation) and comparing the tools that were called with the expected tools. If the tools that were called during the workflow execution match, then it's a pass; otherwise, it's documented as a fail. The evaluation nodes take care of that process. How to set it up ---------------- Connect your Google Sheets OAuth2 credential. Replace the document with your own test dataset. Set your desired models and configure the different agent tools, such as the summarizer and vector store. The default vector store used is Qdrant, so the user must create this vector store with a few samples of queries + web search results. Run from either the chat trigger or the evaluation trigger to test. Requirements ------------ Google Sheets OAuth2 credential OpenRouter / OpenAI credentials for AI agents and embeddings Firecrawl and Qdrant credentials for web + vector search How to customize ---------------- Edit the Search Agent system message to define tool selection behavior Add more metric columns in the Evaluation node for complex scoring Add new tool nodes and link them to the agent block Swap in your own summarizer
By Angel MenendezConvert HTML to PDF using ConvertAPI
Who is this for? For developers and organizations that need to convert HTML files to PDF. What problem is this workflow solving? The file format conversion problem. What this workflow does Converts HTML to file. Converts the HTML file to PDF. Stores the PDF file in the local file system. How to customize this workflow to your needs Open the HTTP Request node. Adjust the URL parameter (all endpoints can be found here). Use your API Token for authentication. Pass the token in the Authorization header as a Bearer token. You can manage your API Tokens in the User panel → Authentication. Optionally, additional Body Parameters can be added for the converter.
By ConvertAPIAutomate audio/video transcription in any language with the new ElevenLabs model
How it works 🗣️> 📖 I set up this workflow to convert any audio or video file into structured text using the new ElevenLabs Scribe model, one of the best Speech-to-Text AIs, available in 99+ languages. This workflow integrates seamlessly with n8n and leverages the ElevenLabs Scribe API to: This workflow seamlessly integrates with n8n to: ✅ Upload audio/video files automatically ✅ Transcribe them with industry-leading accuracy in any language ✅ Export the text for further processing (summaries, subtitles, SEO content, etc.) 👉 Try the new ElevenLabs Scribe model now: Convert speech to text instantly Business Cases 🔹 Podcast Transcriptions – Convert podcast episodes into blog posts for SEO and accessibility 🔹 YouTube Subtitles – Generate captions automatically for increased engagement 🔹 Legal & Compliance – Accurately transcribe meetings, interviews, or customer calls 🔹 E-learning – Turn lectures and webinars into structured course notes 🔹 SEO & Content Marketing – Repurpose videos into articles, quotes, and social media content 💡 Boost your productivity with the new Scribe model → Start with ElevenLabs Scribe Set up steps 🚀 Quick & simple setup in n8n – Upload your file, select the model (scribe_v1), and let the AI handle the rest via the ElevenLabs API. ⸻ 📢 Why I Chose the New ElevenLabs Scribe Model? I wanted the most accurate and reliable transcription tool for my workflow. After testing different options, Scribe outperformed Google Gemini & OpenAI Whisper in independent benchmarks. It delivers high-quality transcriptions, even in underserved languages like Serbian, Mongolian, and many more. ✅ Transcribes in 99+ languages ✅ Fast, accurate, and easy to integrate ✅ Suitable for content creators, businesses, and professionals 🔗 Get started now and revolutionize your workflow with the new Scribe model → Try Scribe AI today 🚀 Phil | Inforeole | Linkedin 🇫🇷 Contactez nous pour automatiser vos processus
By philBitrix24 AI-Powered RAG Chatbot for Open Line Channels
Overview Transform your Bitrix24 Open Line channels with an intelligent chatbot that leverages Retrieval-Augmented Generation (RAG) technology to provide accurate, document-based responses to customer inquiries in real-time. Use Case This workflow is designed for organizations that want to enhance their customer support capabilities in Bitrix24 by providing automated, knowledge-based responses to customer inquiries. It's particularly useful for: Customer service teams handling repetitive questions Support departments with extensive documentation Sales teams needing quick access to product information Organizations looking to provide 24/7 customer support What This Workflow Does Smart Document Processing Automatically processes uploaded PDF documents Splits documents into manageable chunks Generates vector embeddings for semantic understanding Indexes content for efficient retrieval AI-Powered Responses Utilizes Google Gemini AI to generate natural language responses Constructs answers based on relevant document content Maintains conversation context for coherent interactions Provides fallback responses when information is not available Vector Database Integration Stores document embeddings in Qdrant vector database Enables semantic search beyond simple keyword matching Retrieves the most relevant information for each query Maintains a persistent knowledge base that grows over time Webhook Handler Processes incoming messages from Bitrix24 Open Line channels Handles authentication and security validation Routes different types of events to appropriate handlers Manages session and conversation state Event Routing Intelligently routes different event types: ONIMBOTMESSAGEADD: Processes new user messages ONIMBOTJOINCHAT: Handles bot joining a conversation ONAPPINSTALL: Manages application installation ONIMBOTDELETE: Handles bot deletion Document Management Organizes processed documents in designated folders Tracks document processing status Moves indexed documents to appropriate locations Maintains document metadata for reference Interactive Menu Provides menu-based options for common user requests Customizable menu items and responses Easy navigation for users seeking specific information Fallback to operator option when needed Technical Architecture Components Webhook Handler: Receives and validates incoming requests from Bitrix24 Credential Manager: Securely manages authentication tokens and API keys Event Router: Directs events to appropriate processing functions Document Processor: Handles document loading, chunking, and embedding Vector Store: Qdrant database for storing and retrieving document embeddings Retrieval System: Searches for relevant document chunks based on user queries LLM Integration: Google Gemini model for generating natural language responses Response Manager: Formats and sends responses back to Bitrix24 Integration Points Bitrix24 API: For bot registration, message handling, and user interaction Ollama API: For generating document embeddings Qdrant API: For vector storage and retrieval Google Gemini API: For AI-powered response generation Setup Instructions Prerequisites Active Bitrix24 account with Open Line channels enabled Access to n8n workflow system Ollama API credentials Qdrant vector database access Google Gemini API key Configuration Steps Initial Setup Import the workflow into your n8n instance Configure credentials for all services Set up webhook endpoints Bitrix24 Configuration Create a new Bitrix24 application Configure webhook URLs Set appropriate permissions Install the application to your Bitrix24 account Document Storage Create a designated folder in Bitrix24 for knowledge base documents Configure folder paths in the workflow settings Upload initial documents to be processed Bot Configuration Customize bot name, avatar, and description Configure welcome messages and menu options Set up fallback responses Testing Verify successful installation Test document processing pipeline Send test queries to evaluate response qu
By Ferenc ErbGenerate Instagram reels with Veo3 and GPT for AI-powered ad creation
🎬 Veo3 Instagram Reel Generator – AI-Powered Ad Creation in Minutes Description: This no-code workflow transforms your creative brief into an engaging Instagram Reel using OpenAI and Veo3 API (via Wavespeed) — fully automated in n8n. Just type a product, theme, or trend via chat, and get a short-form video plus caption delivered and logged, ready to post. Perfect for marketers, creators, and content teams looking to scale their ad content output without hiring editors or creative agencies. Watch step-by-step build video tutorial here: https://www.youtube.com/@Automatewithmarc ⚙️ How It Works: 💬 Chat Trigger Start by sending a message like “Create an ad for a minimalist perfume brand using the ‘quiet luxury’ trend.” 🧠 Prompt Engineer (ChatGPT) Generates a 5–8 second descriptive video prompt suitable for Veo3 based on your input — including visual tone, motion, and hook. 📡 API Call to Veo3 via Wavespeed Submits the prompt to create a short video (9:16 ratio, ~8 seconds), then polls for the final video URL. ✍️ Caption Generator (GPT) Creates an Instagram-friendly caption to pair with the video, using a playful, impactful writing style. 📄 Google Sheets Integration Logs each generated video prompt, final video URL, caption, and status into a Google Sheet for easy management and scheduling. 🔌 Tools & Integrations: OpenAI GPT (Prompt generation & caption copywriting) Veo3 via Wavespeed API (Video generation) Google Sheets (Content tracking and publishing queue) Telegram / Chat UI trigger (Optional – easily swappable) 💡 Use Cases: Instagram & TikTok ad generation Creative automation for digital agencies Short-form UGC testing at scale Trend-driven campaign ideation
By Automate With MarcConvert addresses to latLong with Google Sheets and Google Maps API
Template Detail This template automates the process of converting a list of addresses into their latitude and longitude (LatLong) coordinates using Google Sheets and the Google Maps API. It's designed for businesses, developers, and analysts who need accurate geolocation data for use cases like delivery routing, event planning, or market analysis. --- What the Template Does Fetch Address Data: Retrieves addresses from a Google Sheet. Google Maps API Integration: Sends each address to the Google Maps API and retrieves the corresponding LatLong coordinates. Update Google Sheets: Automatically updates the same Google Sheet with the LatLong data for each address. --- Enhancements Google Sheets Template: Provide a pre-configured Google Sheets template that users can copy. Example link: Google Sheets Template. Columns required: Address: Column to input addresses. LatLong: Column for the latitude and longitude results. --- Updated Workflow Structure Trigger: A manual trigger node starts the workflow. Retrieve Data from Google Sheets: Fetch addresses from a Google Sheet. Send to Google Maps API: For each address, retrieve the LatLong coordinates directly via the Google Maps API. Update Google Sheets: Write the LatLong results back into the Google Sheet. --- Steps to Use Prepare Google Sheet: Copy the provided Google Sheets template and add your addresses to the Address column. Configure Google Cloud API: Enable the Maps API for your Google Cloud project. Generate an API key with the required permissions. Run the Workflow: Start the workflow in n8n; it will process the addresses automatically. Updated LatLong data will appear in the corresponding Google Sheet. Review the Results: Use the enriched LatLong data for mapping or analysis.
By Boriwat ChanruangEmail subscription service with n8n forms, Airtable and AI
This n8n template shows how anyone can build a simple newsletter-like subscription service where users can enrol themselves to receive messages/content on a regular basis. It uses n8n forms for data capture, Airtable for database, AI for content generation and Gmail for email sending. How it works An n8n form is setup up to allow users to subscribe with a desired topic and interval of which to recieve messages via n8n forms which is then added to the Airtable. A scheduled trigger is executed every morning and searches for subscribers to send messages for based on their desired intervals. Once found, Subscribers are sent to a subworkflow which performs the text content generation via an AI agent and also uses a vision model to generate an image. Both are attached to an email which is sent to the subscriber. This email also includes an unsubscribe link. The unsubscribe flow works similarly via n8n form interface which when submitted disables further scheduled emails to the user. How to use Make a copy of sample Airtable here: https://airtable.com/appL3dptT6ZTSzY9v/shrLukHafy5bwDRfD Make sure the workflow is "activated" and the forms are available and reachable by your audience. Requirements Airtable for Database OpenAI for LLM (but compatible with others) Gmail for Email (but can be replaced with others) Customising this workflow This simple use can be extended to deliver any types of content such as your company newsletter, promotions, social media posts etc. Doesn't have to be limited to just email - try social messaging, Whatsapp, Telegram and others.
By JimleukSend memes via Discord
A discord integration that sends you memes :)
By Jared SimmonsWhatsApp to Chatwoot message forwarder with media support
Description Automates the forwarding of messages from WhatsApp (via Evolution API) to Chatwoot, enabling seamless integration between external WhatsApp users and internal Chatwoot agents. It supports both text and media messages, ensuring that customer conversations are centralized and accessible for support teams. What Problem Does This Solve? Managing conversations across multiple platforms can lead to fragmented support and lost context. This subworkflow bridges the gap between WhatsApp and Chatwoot, automatically forwarding messages received via the Evolution API to a Chatwoot inbox. It simplifies communication flow, centralizes conversations, and enhances the support team's productivity. Features Support for plain text messages Support for media messages: images, videos, documents, and audio Automatic media upload to Chatwoot with proper attachment rendering Automatic contact association using WhatsApp number and Chatwoot API Designed to work with Evolution API webhooks or any message source Prerequisites Before using this automate, make sure you have: Evolution API credentials with incoming message webhook configured A Chatwoot instance with access token and API endpoint An existing Chatwoot inbox (preferably API channel) A configured HTTP Request node in n8n for Chatwoot API calls Suggested Usage This subworkflow should be attached to a parent workflow that receives WhatsApp messages via the Evolution API webhook. Ideal for: Centralized customer service operations WhatsApp-to-CRM/chat routing Hybrid automation workflows where human agents need to reply from Chatwoot It ensures that all incoming WhatsApp messages are properly converted and forwarded to Chatwoot, preserving message content and structure.
By Thiago Vazzoler LoureiroUnlimited website down checker - Uptime Robot alternative
Video Introduction [](https://www.youtube.com/watch?v=q4d404G_OxY) Want to automate your inbox or need a custom workflow? 📞 Book a Call | 💬 DM me on Linkedin --- Get Alerted When Your Website Is Down – n8n as an Uptime Robot Alternative If you manage a website (or client sites), getting notified when your site goes down is critical. But you’ve probably experienced alert fatigue if you’ve ever received a flood of downtime emails for every tiny outage. These short hiccups are common, and most monitoring tools don’t let you filter them out. Here’s how you can set up website downtime notifications with n8n - no extra subscriptions, and no more false positives spamming your inbox. For your most important sites, you can even get direct text alerts to your phone. We’ll use n8n, a powerful automation tool with thousands of templates and integrations. You can run it in the cloud or even self-host it for free. --- Why Use n8n for Website Monitoring? Uptime Robot and similar services have limitations or get expensive fast if you monitor several sites. n8n gives you full control - you choose when and how you get notified, set your own timing and thresholds, and you aren’t stuck with default alert logic. Plus, n8n can automate much more than just uptime monitoring: use it to handle other business workflows too. --- Quick Start: Free n8n Website Monitoring Template Use the template to get started fast. Log in or sign up for n8n Cloud, or self-host for free if you prefer. Configure your schedule (default: hourly) and list the sites you want to monitor. Key setting: wait seconds. Recommended: 300 seconds (5 minutes). If your site goes down, the workflow waits before sending an alert—no notification for a 1-2 minute outage, only real, persistent problems. --- How to Test & Use Activate the workflow. Toggle it on in n8n and it’ll check your sites automatically. Test instantly: Add a non-existent URL and run the workflow. After the wait time, you’ll get an email alert for that URL. Notifications stay organized: Alerts go straight to your inbox (see my AI email labelling template if you want color-coded organization). --- Get Critical Alerts on Your Phone (Telegram) Email is great, but for your most important sites you want instant notifications on your phone. Best option: Use Telegram. n8n can send you messages via a Telegram bot—easy to set up, free, and works in seconds. How: Create a Telegram bot via BotFather (instructions in the template). Add your bot token and chat ID to n8n. Now, you’ll get downtime alerts right on Telegram—no missed notifications, no extra costs. --- FAQ Can I monitor unlimited sites? Yes, just list them all in the config. What if downtime is just a few seconds? The default 5-minute wait filters these out. Do I need a paid n8n plan? No - self-hosting is free, and the workflow works on free plans. Why not SMS or WhatsApp? Telegram bots are fastest, easiest, and don’t require extra API setup or subscriptions.
By Milan Vasarhelyi - SmoothWorkRemote IOT sensor monitoring via MQTT and InfluxDB
. Read and store IOT sensor data with the MQTT Trigger and InfluxDB tonyduffy@protonmail.com This workflow is for users wanting a practical example of how to obtain data from remote IOT systems using the MQTT protocol in an n8n environment. The template provides typical n8n node implementation and configuration settings necessary to read and store IOT data. The workflow reads the temperature and humidity data from a remote IOT system in this case a DHT22 sensor connected to a ESP32 micro controller. The data is parsed into the correct JSON format and then ingested in an InfluxDB data bucket. From there the stored temperature and humidity values can be displayed in real time. The workflow can be easily modified to read any MQTT driven device data. Remote IOT Sensor Setup The ESP32 controller with the DHT22 sensor are running on a Wokwi simulator. The simulator uses micro python to publish a MQTT "wokwi-weather" topic with the temperature and humidity payloads to an online Mosquitto MQTT broker. The n8n MQTT trigger node subscribes to the topic on the broker and reads the payload values when any changes are published. The code node then prepares the payload for JSON format. The HTTP request node ingests the data in a InfluxDB bucket How to customise this workflow to your needs Wokwi IOT ESP32 simulator You will need to setup a free account at Wokwi.com Once created search for a project "Micro-Python MQTT Weather Logger (ESP32)" Then when the MQTT weather logger project is open change lines 28 and 29 to the following 28 MQTTCLIENTID = "" 29 MQTT_BROKER = "test.mosquitto.org" You then can start the simulation by clicking on the green arrow and it will connect the mosquitto broker and the "wokwi-weather" topic will be published. By clicking on the DHT22 sensor the temperature and humidity bar will appear and you can change the values to send updated payload values to the broker. InfluxDB You will require access to functioning InfluxDB database to utilise this workflow Note : You will have to provide the following for the HTTP request node to connect to InfluxDB. The URL and port of the desired InfluxDB (In this case the InfluxDB is running locally on port 8086 ie. http://localhost:8086.) InfluxDB bucket for the data. ( In this case the created bucket name is "wokwi-data") The Organization ID of the InfluxDB. This can be obtained for the InfluxDB admin page A generated API token to read and write to the InfluxDB bucket. Created from the InfluxDB admin n8n workflow. The MQTT trigger node is configured to subscribe to the "wokwi-weather" topic on the test Mosquitto MQTT broker. It reads the temperature and humidity data sent by ESP32. The code node uses Javascript to move the temperature and humidity payloads to JSON format. This is flexible and can easily modified. The HTTP request node posts the JSON payloads to the InfluxDB bucket. When the above is configured the workflow should function correctly. Thanks to the many who have downloaded this template. Let me know on what you would like to build. Contact me at tonyduffy@protonmail.com
By Tony Duffy