Workflow Templates

How it works This template is a hands-on tutorial for one of the most advanced and powerful patterns in n8n: asynchronous parallel processing, also known as the Fan-Out/Fan-In model. When should you use this? Use this pattern when speed is your top priority and you have multiple independent, long-running tasks. Instead of running them one after another (which is slow), this workflow runs them all at the same time and waits for them all to finish. We use a Construction Project analogy to explain the architecture: The Main Workflow (Top):* This is the *Project Manager**. It defines the project, assigns all the tasks to specialist teams, and then pauses, waiting for a final report. The Sub-Workflow (Bottom):* This represents the *Specialist Teams**. It's a single, reusable workflow that can perform any task it's assigned. Static Data (The Brains):* A hidden *Project Dashboard** is used to track the status of every task in real-time. The process follows three key phases: Fan-Out: The Project Manager starts multiple sub-workflows at once without waiting for them to finish. Asynchronous Execution: Each Specialist Team works on its task independently and in parallel. When a team finishes, it updates its status on the Project Dashboard. Fan-In: The Project Manager, which has been paused by a Wait node, is only resumed when the Project Dashboard confirms that all tasks are complete. It then receives the aggregated results from all the parallel tasks. Set up steps Setup time: < 1 minute This workflow is a self-contained tutorial. The only setup required is to configure the AI model. Configure Credentials: Go to the The AI Specialist node in the sub-workflow (bottom flow). Select your desired AI credential (Gemini in that case). Execute the Workflow: Click the "Execute Workflow" button on the Start Project node. Explore and Learn: Follow the execution path to see how the main workflow fans out, and how the sub-workflow is called multiple times. Click on each node and read the detailed sticky notes to understand its specific role in this advanced pattern.

🔧 How it works: • The workflow triggers when a new order is created in WooCommerce. • It extracts order details including ID, status, total, and products list. • Sends a formatted message via Telegram to the store admin. • Includes a clickable button that links directly to the order view page. ⚙️ Set up steps: • Estimated setup time: 5–10 minutes. • Requires active WooCommerce REST API credentials. • Requires a Telegram bot and your admin chat ID. • Replace the Telegram chatId and WooCommerce credentials in the workflow. • Make sure your WooCommerce site allows external API access.

Description This workflow automates document processing using LlamaParse to extract and analyze text from various file formats. It intelligently processes documents, extracts structured data, and delivers actionable insights through multiple channels. How It Works Document Ingestion & Processing 📄 Monitors Gmail for incoming attachments or accepts documents via webhook Validates file formats against supported LlamaParse extensions Uploads documents to LlamaParse for advanced text extraction Stores original documents in Google Drive for reference Intelligent Document Analysis 🧠 Automatically classifies document types (invoices, reports, etc.) Extracts structured data using customized AI prompts Generates comprehensive document summaries with key insights Converts unstructured text into organized JSON data Invoice Processing Automation 💼 Extracts critical invoice details (dates, amounts, line items) Organizes financial data into structured formats Calculates tax breakdowns, subtotals, and payment information Maintains detailed records for accounting purposes Multi-Channel Delivery 📱 Saves extracted data to Google Sheets for tracking and analysis Sends concise summaries via Telegram for immediate review Creates searchable document archives in Google Drive Updates spreadsheets with structured financial information Setup Steps Configure API Credentials 🔑 Set up LlamaParse API connection Configure Gmail OAuth for email monitoring Set up Google Drive and Sheets integrations Add Telegram bot credentials for notifications Customize AI Processing ⚙️ Adjust document classification parameters Modify extraction templates for specific document types Fine-tune summary generation prompts Customize invoice data extraction schema Test and Deploy 🚀 Test with sample documents of various formats Verify data extraction accuracy Confirm notification delivery Monitor processing pipeline performance

📄✨ Easy WordPress Content Creation from PDF Docs + Human in the Loop Gmail This n8n workflow automates the process of transforming PDF documents into engaging, SEO-friendly WordPress blog posts. It incorporates AI-powered text analysis, automatic image generation, and a human review step to ensure quality before publishing. 🚀 How It Works 🗂️ PDF Upload & Text Extraction Users upload a PDF document through a form trigger. The workflow extracts text from the uploaded file, ensuring compatibility with supported formats. 🤖 AI-Powered Blog Post Generation The extracted text is analyzed by an AI model (GPT-based) to create a structured blog post. The AI generates: A captivating SEO-friendly title. Well-formatted HTML content, including an introduction, chapters with subheadings, and a conclusion. 🎨 Image Creation & Integration An image is generated using Pollinations.ai based on the blog post title. The vibrant image is uploaded to WordPress and set as the featured image for the post. 📝 WordPress Draft Creation A draft blog post is created on WordPress with the AI-generated title, content, and featured image. ✅ Human-in-the-Loop Approval The draft content is sent via Gmail to a reviewer for manual approval. If approved, the post is published on WordPress. If not, an error message is sent for troubleshooting. 📢 Multi-Channel Notifications Once published, notifications are sent via Gmail and Telegram to relevant stakeholders. 🔧 Setup Steps 🔑 Configure API Credentials Set up API connections for: OpenAI (for AI content generation). WordPress (for post creation and media uploads). Gmail (for sending approval emails). Telegram (for notifications). imgbb (for saving blog image). ⚙️ Customize Workflow Parameters Adjust the AI prompt to match your desired blog structure and tone. Modify the image generation parameters to align with your branding needs. 🧪 Test & Deploy Test the workflow with sample PDFs to ensure: Accurate text extraction. Proper formatting of generated content. Seamless approval and publishing processes. This workflow streamlines content creation while maintaining quality control through human oversight, making it an ideal solution for efficient blog management! 🎉

Automate Audio Transcription, AI Summarization, and Google Drive Storage Who is this for? Content Teams, Researchers, and Administrators who need to automatically process voice memos, meeting recordings, or interview audio into structured, searchable documents. What problem does this solve? Eliminates manual transcription work by automatically converting audio files into organized text documents with AI analysis, while maintaining human oversight through approval workflows. What this workflow does Smart Audio Processing: Triggers when new .m4a files appear in Google Drive Uses OpenAI's Whisper for accurate transcription Implements dual-format reporting (JSON + Markdown) Human Oversight (optional): Requires email approval before processing 45-minute response window with escalation options AI-Powered Analysis: Generates structured JSON reports with: Key points & action items Sentiment analysis Technical terminology glossary Creates Markdown versions for easy reading Document Management: Stores raw transcripts + reports in Google Drive Automatic file naming with timestamps Sends completion alerts via Email/Telegram Workflow visualization showing audio file processing path Setup Credentials Needed: Google Drive API access OpenAI API key (GPT-4o-mini) Gmail & Telegram integrations Configuration: Set your Google Drive folder ID in 3 nodes Update email addresses in Gmail nodes Customize approval timeout in "Gmail User for Approval" Customization Points: File extension filters (.m4a) AI report templates and prompts Notification channels (Email/Telegram) How to customize Approval Process**: Add SMS/Teams notifications via additional nodes File Types**: Modify filter node for .mp3/.wav support Analysis Depth**: Adjust GPT-4 prompts in "Summarize to JSON" nodes Storage**: Connect to Notion/Airtable instead of Google Drive

🎥 Analyze YouTube Video for Summaries, Transcripts & Content + Google Gemini Who is this for? This workflow is ideal for content creators, video marketers, and research professionals who need to extract actionable insights, detailed transcripts, or metadata from YouTube videos efficiently. It is particularly useful for those leveraging AI tools to analyze video content and optimize audience engagement. What problem does this workflow solve? / Use case Analyzing video content manually can be time-consuming and prone to errors. This workflow automates the process by extracting key metadata, generating summaries, and providing structured transcripts tailored to specific use cases. It helps users save time and ensures accurate data extraction for content optimization. What this workflow does Extracts audience-specific metadata (e.g., video type, tone, key topics, engagement drivers). Generates customized outputs based on six prompt types: Default: Actionable insights and strategies. Transcribe: Verbatim transcription. Timestamps: Timestamped dialogue. Summary: Concise bullet-point summary. Scene: Visual descriptions of settings and techniques. Clips: High-engagement video segments with timestamps. Saves extracted data as a text file in Google Drive. Sends analyzed outputs via Gmail or provides them in a completion form. Setup Configure API keys: Add your Google API key as an environment variable. Input requirements: Provide the YouTube video ID (e.g., wBuULAoJxok). Select a prompt type from the dropdown menu. Connect credentials: Set up Google Drive and Gmail integrations in n8n. How to customize this workflow to your needs Modify the metadata prompt to extract additional fields relevant to your use case. Adjust the output format for summaries or transcripts based on your preferences (e.g., structured bullets or plain text). Add nodes to integrate with other platforms like Slack or Notion for further collaboration. Example Usage Input: YouTube video ID (wBuULAoJxok) and prompt type (summary). Output: A concise summary highlighting actionable insights, tools, and resources mentioned in the video.

🎨 AI Graphic Design Team - Generate and Review AI Images with Ideogram and OpenAI Description Who is this for? This workflow is perfect for graphic designers, creative agencies, marketing teams, or freelancers who regularly use AI-generated images in their projects. It's specifically beneficial for teams that want to automate the generation, review, and management of AI-created graphics efficiently. What problem does this workflow solve? Design teams often face time-consuming manual reviews and inconsistent quality checks for AI-generated images. This workflow addresses these challenges by automating image generation and introducing a systematic, AI-driven vetting process. This ensures only high-quality, relevant images reach your team's assets, saving valuable time and enhancing workflow efficiency. What this workflow does AI Image Generation:** Integrates Ideogram via HTTP Request to automatically create AI-generated images based on creative briefs. Automated Image Review:** Uses OpenAI to automatically evaluate and approve images, ensuring they meet your predefined quality standards. Efficient Asset Management:** Automatically creates structured Google Drive folders and compiles key metadata (including creation dates, prompts, and image links) into a CSV file and Google Sheet. Immediate Email Notifications:** Delivers a setup confirmation and provides easy access to Google Drive folders and assets via automated email notifications. Final Approved Images:** Outputs vetted, ready-to-use images for your creative projects, removing the burden of manual reviews. Setup Initial Email Configuration Update your email details in both the "Setup Gmail" node and the "Gmail" notification node. Run the initial setup workflow to automatically create the Google Drive folders "Graphic_Design_Team" and "Image_Generations," and upload your CSV file (n8n-Graphic_Design_Team.csv). Review Email & Set Up Google Sheets Check your inbox for an automated email containing folder IDs and direct links. Create and set up a Google Sheet by importing the provided CSV data from your email. Update Workflow Nodes Select your newly created Google Sheet in both Google Sheets nodes. Update your Creative Brief node with the Google Drive folder IDs provided in the email. Run Workflow for AI Image Generation & Review Execute the workflow. Your generated images will be automatically vetted, organized, and ready for creative use. How to Customize This Workflow Tailor Image Generation Prompts:** Adjust prompts and settings in the Ideogram HTTP Request node to better fit your project's creative requirements. Set Quality Standards:** Modify the criteria used by the OpenAI node to reflect your specific standards and preferences for image approval. Customize Asset Organization:** Adapt Google Drive folder structures, CSV headers, or Google Sheets integrations to match your team's organizational preferences. Dependencies & Requirements Nodes Used:** HTTP Request (Ideogram API integration) OpenAI (Image review and quality assessment) Gmail (Automated notifications) Google Drive (File and asset management) Google Sheets (Metadata organization) Credentials:** Ensure Gmail, Google Drive, Google Sheets, and OpenAI credentials are properly configured in your n8n account. No custom or community nodes are needed. Final Outcome Upon completion, your workflow efficiently provides vetted, high-quality AI-generated images, organized in Google Drive and accessible via easy-to-use metadata in Google Sheets, drastically reducing manual intervention and accelerating your creative processes.

✨ Overview This workflow allows candidates to schedule interviews through a conversational AI assistant. It integrates with your Google Calendar to check for existing events and generates a list of available 30-minute weekday slots between 9 AM and 5 PM Eastern Time. Once the candidate selects a suitable time and provides their contact information, the AI bot automatically books the meeting on your calendar and confirms the appointment. ⚡ Prerequisites To use this workflow, you need an OpenAI account with access to the GPT-4o model, a Google account with a calendar that can be accessed through the Google Calendar API, and an active instance of n8n—either self-hosted or via n8n cloud. Within n8n, you must have two credential configurations ready: one for Google Calendar using OAuth2 authentication, and another for your OpenAI API key. 🔐 API Credentials Setup For Google Calendar, go to the Google Cloud Console and create a new project. Enable the Google Calendar API, then create OAuth2 credentials by selecting “Web Application” as the application type. Add http://localhost:5678/rest/oauth2-credential/callback as the redirect URI if using local n8n. After that, go to n8n, navigate to the Credentials section, and create a new Google Calendar OAuth2 credential using your account. For OpenAI, visit platform.openai.com to retrieve your API key. Then go to the n8n Credentials page, create a new credential for OpenAI, paste your key, and name it for reference. 🔧 How to Make This Workflow Yours To customize the workflow for your use, start by replacing all instances of the calendar email rbreen.ynteractive@gmail.com with your own Google Calendar email. This email is referenced in multiple places, including Google Calendar nodes and the ToolWorkflow JSON for the node named "Run Get Availability." Also update any instances where the Google Calendar credential is labeled as Google Calendar account to match your own credential name within n8n. Do the same for the OpenAI credential label, replacing OpenAi account with the name of your own credential. Next, go to the node labeled Candidate Chat and copy the webhook URL. This is the public chat interface where candidates will engage with the bot—share this URL with them through email, your website, or anywhere you want to allow access. Optionally, you can also tweak the system message in the Interview Scheduler node to modify the tone, language, or logic used during conversations. If you want to add branding, update the title, subtitle, and inputPlaceholder in the Candidate Chat node, and consider modifying the final confirmation message in Final Response to User to reflect your brand voice. You can also update the business rules such as time zone, working hours, or default duration by editing the logic in the Generate 30 Minute Timeslots code node. 🧩 Workflow Explanation This workflow begins with the Candidate Chat node, which triggers when a user visits the public chat URL. The Interview Scheduler node acts as an AI agent, guiding the user through providing their email, phone number, and preferred interview time. It checks availability using the Run Get Availability tool, which in turn reads your calendar and compares it with generated free time slots from the Generate 30 Minute Timeslots node. The check day names tool helps the AI interpret natural language date expressions like “next Tuesday.” The schedule is only populated with 30-minute weekday slots from 9 AM to 5 PM Eastern Time, and no events are scheduled if they overlap with existing ones. When a suitable time is confirmed, the AI formats the result into structured JSON, creates an event on your Google Calendar, and sends a confirmation back to the user with all relevant meeting details. 🚀 Deployment Steps To deploy the interview scheduler, import the provided workflow JSON into your n8n instance. Update the Google Calendar email, OpenAI and Google credential labels, system prompts, and branding as needed. Test the connections to ensure the API credentials are working correctly. Once everything is configured, copy and share the public chat URL from the Candidate Chat node. When candidates engage with the chat, the workflow will walk them through the interview booking process, check your availability, and finalize the booking automatically. 💡 Additional Tips By default, the workflow avoids scheduling interviews on weekends and outside of 9–5 EST. Each interview lasts exactly 30 minutes, and overlapping with existing events is prevented. The assistant does not reveal details about other meetings. You can customize every part of this workflow to fit your use case, including subworkflows like Get Availability and check day names, or even white-label it for client use. This workflow is ready to become your AI-powered interview scheduling assistant. 🤝 Connect with Me Description I’m Robert Breen, founder of Ynteractive — a consulting firm that helps businesses automate operations using n8n, AI agents, and custom workflows. I’ve helped clients build everything from intelligent chatbots to complex sales automations, and I’m always excited to collaborate or support new projects. If you found this workflow helpful or want to talk through an idea, I’d love to hear from you. Links 🌐 Website: https://www.ynteractive.com 📺 YouTube: @ynteractivetraining 💼 LinkedIn: https://www.linkedin.com/in/robert-breen 📬 Email: rbreen@ynteractive.com

This n8n template builds a newsletter ("daily digest") delivery service which pulls and summarises the latest n8n.io template in select categories defined by subscribers. It's scheduled to run once a day and sends the newsletter directly to subscriber via a nicely formatted email. If you've had trouble keeping up with the latest and greatest templates beign published daily, this workflow can save you a lot of time! How it works A scheduled trigger pulls a list of subscribers (email and category preferences) from an Excel workbook. We work out unique categories amongst all subscribers and only fetch the latest n8n website templates from these categories to save on resources and optimise the number of API calls we make. The fetched templates are summarised via AI to produce a short description which is more suitable for our email format. For each subscriber, we filter and collect only the templates relevant to their category preferences (as defined in the Excel) and ensure that duplicate templates or those which have been "seen before" are omitted. A HTML node is then used to generate the email newsletter. HTML emails are the perfect format since we can add links back to the template. Finally, we use the Outlook node to send the email digest to the subscriber. How to use Populate your Excel sheet with 3 columns: name, email and categories. Categories is a comma-delimited list of categories which match the n8n template website. The available categories are AI, SecOps, Sales, IT Ops, Marketing, Engineering, DevOps, Building Blocks, Design, Finance, HR, Other, Product and Support. To subscribe a new user, simply add their email to the Excel sheet with at least one category. To unsubscribe a user, remove them from the sheet. If you're not interested in paid templates, you may want to filter them out after fetching. Requirements Microsoft Excel for subscriber list Microsoft Outlook for delivering emails OpenAI for AI-generated descriptions Customising the workflow Use AI to summarise the week's trend of templates types and use-cases This template can be the basis for other similar newsletters - just pull in a list of things from anywhere!

This workflow template, "Personal Assistant to Note Messages and Extract Namecard Information" is designed to streamline the processing of incoming messages on the LINE messaging platform. It integrates with powerful tools like Microsoft Teams , Microsoft To Do , OneDrive , and OpenRouter.ai to handle tasks such as saving notes, extracting namecard information, and organizing images. Whether you’re managing personal productivity or automating workflows for teams, this template offers a versatile and customizable solution. By leveraging this workflow, you can automate repetitive tasks, improve collaboration, and enhance efficiency in handling LINE messages. Who Is This Template For? This template is ideal for: Professionals: Who want to save important messages, extract data from namecards, or organize images automatically. Teams: Looking to integrate LINE messages into tools like Microsoft Teams and Microsoft To Do for better collaboration. Developers: Seeking to build intelligent workflows that process text, images, and other inputs from LINE. Business Owners: Who need to manage customer interactions, follow-ups, and task tracking efficiently. What Problem Does This Workflow Solve? Managing incoming messages on LINE can be time-consuming, especially when dealing with diverse input types like text, images, and namecards. This workflow solves that problem by: Automatically identifying and routing different message types (text, images, namecards) to appropriate actions. Extracting structured data from namecards and saving it for follow-up tasks. Uploading images to OneDrive and saving text messages to Microsoft Teams or Microsoft To Do for easy access. Sending real-time feedback to users via LINE to confirm that their messages have been processed. What This Workflow Does Receive Messages via LINE Webhook: The workflow is triggered whenever a user sends a message (text, image, or other types) to the LINE bot. Display Loading Animation: A loading animation is displayed to reassure the user that their request is being processed. Route Input Types: The workflow uses a Switch node to determine the type of input: Text Starting with "T": Adds the message as a task in Microsoft To Do. Plain Text: Saves the message in Microsoft Teams under a designated channel (e.g., "Notes"). Images: Identifies whether the image is a namecard, handwritten note, or other content, then processes accordingly. Unsupported formats trigger a polite response indicating the limitation. Process Namecards: *Images * If the image is identified as a namecard, the workflow extracts structured data (e.g., name, email, phone number) using OpenRouter.ai and saves it to Microsoft To Do for follow-up tasks. Save Images to OneDrive: Images are uploaded to OneDrive, renamed based on their unique message ID, and linked in Microsoft Teams for reference. Send Feedback via LINE: The workflow replies to the user with confirmation messages, such as "[ Task Created ]" or "[ Message Saved ]." Setup Guide Pre-Requisites Access to the LINE Developers Console to configure your webhook and bot. Accounts for Microsoft Teams , Microsoft To Do, and OneDrive with API access. An OpenRouter.ai account with credentials to access models like GPT-4o. Basic knowledge of APIs, webhooks, and JSON formatting. Step-by-Step Setup 1) Configure the LINE Webhook: Go to the LINE Developers Console and set up a webhook to receive incoming messages. Copy the Webhook URL from the Line Webhook node and paste it into the LINE Console. Remove any "test" configurations when moving to production. 2) Set Up Microsoft Integrations: Connect your Microsoft Teams, Microsoft To Do, and OneDrive accounts to the respective nodes in the workflow. 3) Set Up OpenRouter.ai: Create an account on OpenRouter.ai and obtain your API credentials. Connect your credentials to the OpenRouter nodes in the workflow. Test the Workflow: Simulate sending text, images, and namecards to the LINE bot to verify that all actions are processed correctly. How to Customize This Workflow to Your Needs Add More Actions: Extend the workflow to handle additional input types or integrate with other tools. Enhance Image Processing: Use advanced OCR tools to improve text extraction from complex images. Customize Feedback Messages: Modify the reply format to include emojis, links, or other formatting options. Expand Use Cases: Adapt the workflow for specific industries, such as sales or customer support, by tailoring the actions to relevant tasks. Why Use This Template? Versatile Automation: Handles multiple input types (text, images, namecards) with ease. Seamless Integration: Connects LINE messages to popular productivity tools like Microsoft Teams and To Do. Structured Data Extraction: Extracts and organizes data from namecards, saving time and effort. Real-Time Feedback: Keeps users informed about the status of their requests with instant notifications.

👥 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

This workflow creates a new item in a Monday.com board when a new contact is created in Mautic. Additional fields can be added to the workflow to send more data to Monday.com. Prerequisites Monday account and Monday credentials. Mautic account and Mautic credentials. How it works When a new contact is created in Mautic, the workflow creates a new item in the Monday.com board. By default the workflow will send the contact's email address to Monday.com and name the item after the contact's first and last name. Setup This workflow requires that you set up a Monday.com board. To do so, follow the steps below: In Monday.com, create a new item board. In the board, add the following columns: Email (with type "Email") Any other fields you require to the board. If more columns are created, you will need to find out what their ID's are by turning on developer mode as explained in this Monday article. With these new IDs, you can add them to the Create item Monday.com node, this is explained further in the workflow as a sticky note.