Workflow Templates

Send a simple JSON array via HTTP POST and get an Excel file. The default filename is Export.xlsx. By adding the (optional) request ?filename=xyz you can specify the filename. NOTE: do not forget to change the webhook path!

Voice Assistant Interface with n8n and OpenAI This workflow creates a voice-activated AI assistant interface that runs directly in your browser. Users can click on a glowing orb to speak with the AI, which responds with voice using OpenAI's text-to-speech capabilities. Who is it for? This template is perfect for: Developers looking to add voice interfaces to their applications Customer service teams wanting to create voice-enabled support systems Content creators building interactive voice experiences Anyone interested in creating their own "Alexa-like" assistant How it works The workflow consists of two main parts: Frontend Interface: A beautiful animated orb that users click to activate voice recording Backend Processing: Receives the audio transcription, processes it through an AI agent with memory, and returns voice responses The system uses: Web Speech API for voice recognition (browser-based) OpenAI GPT-4o-mini for intelligent responses OpenAI Text-to-Speech for voice synthesis Session memory to maintain conversation context Setup requirements n8n instance (self-hosted or cloud) OpenAI API key with access to: GPT-4o-mini model Text-to-Speech API Modern web browser with Web Speech API support (Chrome, Edge, Safari) How to set up Import the workflow into your n8n instance Add your OpenAI credentials to both OpenAI nodes Copy the webhook URL from the "Audio Processing Endpoint" node Edit the "Voice Assistant UI" node and replace YOUR_WEBHOOK_URL_HERE with your webhook URL Access the "Voice Interface Endpoint" webhook URL in your browser Click the orb and start talking! How to customize the workflow Change the AI personality**: Edit the system message in the "Process User Query" node Modify the visual style**: Customize the CSS in the "Voice Assistant UI" node Add more capabilities**: Connect additional tools to the AI Agent Change the voice**: Select a different voice in the "Generate Voice Response" node Adjust memory**: Modify the context window length in the "Conversation Memory" node Demo Watch the template in action: https://youtu.be/0bMdJcRMnZY

++How it Works:++ This RSS reader retrieves links from a Google Sheets file and goes through each link to retrieve the messages that are younger than 3 days, then saves them in a second Google Sheets file and then deletes all older entries in the second Google Sheets file! The retrieval can take a while due to the Google API block prevention, depending on the number of news feeds that were retrieved!==* Detailed Description is in the sticky Notes from the Workflow!*

🧾 Automated Invoice Processing - n8n Workflow 📖 Workflow Description This n8n workflow automates the complete processing of PDF invoices with AI-powered data extraction. The workflow monitors a Google Drive folder, extracts important invoice data, and automatically organizes files in a structured filing system. 🎯 Features 🔍 Automatic monitoring** of a Google Drive folder for new PDF files 🤖 AI-powered data extraction** from invoices (customer, amount, date, etc.) 📁 Intelligent file sorting** by year and month 📝 Automatic renaming** following a consistent schema 📊 Central documentation** in Google Sheets 🔧 Required Integrations Required Accounts: Google Drive (with folder permissions) Google Sheets (with write permissions) Google Gemini API (for AI data extraction) Used n8n Nodes: Google Drive Trigger Google Drive (File Operations) Google Sheets Extract from File (PDF) Information Extractor (LangChain) Google Gemini Chat Model Split in Batches 📋 Workflow Steps in Detail 1. Monitoring & Triggering Google Drive Trigger** monitors a defined input folder Automatically starts when new PDF files are detected Split in Batches** enables batch processing of multiple files 2. File Processing GetFile** downloads PDF files from Google Drive ExtractFromPDF** converts PDF content to text Supports scanned documents as well 3. AI Data Extraction The Information Extractor node with Google Gemini extracts: Company name/sender Customer name and customer number Invoice number and date Net and gross amount Value-added tax Article description Month and year (for sorting) 4. Automatic Filing GetYearFolder** searches/creates year folders GetMonthFolder** searches/creates month folders MoveFile** moves invoice to correct folder UpdateFileName** renames file (schema: "Customer Month Year") 5. Documentation AddToOverview** enters all data into Google Sheets table Enables central overview and analysis ⚙️ Setup Instructions Step 1: Prepare Google Drive Create the following folder structure in Google Drive: 📁 [Input Folder] (e.g., "Invoices-Inbox") 📁 [Main Folder] (e.g., "Accounting") └── 📁 2024 ├── 📁 January ├── 📁 February ├── 📁 March └── ... (all months) └── 📁 2025 └── ... (all months) Step 2: Create Google Sheets Table Create a spreadsheet with the following columns: Customer Number Customer [Company Name] Location Invoice Date Invoice Number VAT Net Amount Month Year Step 3: Configure Workflow Configure Google Drive Trigger: Select your input folder as "Folder to Watch" Set "Event" to "fileCreated" Activate the trigger Search files and folders: Select the same input folder as filter Customize Information Extractor: Adapt attribute names to your needs Change company name in description Adjust system prompt if needed GetYearFolder & GetMonthFolder: Set the correct folder ID for your main folder Check query string for year/month search AddToOverview: Select your Google Sheets table Map columns according to your table 🔧 Customization Options Extend Data Extraction: Add more attributes in the Information Extractor node: { "name": "Payment Terms", "description": "Days until payment due", "required": false } Customize File Naming: Change the schema in the UpdateFileName node: "{{ $('Information Extractor').item.json.output.InvoiceNumber }} - {{ $('Information Extractor').item.json.output.Customer }}" Change Monitoring Interval: In Google Drive Trigger under "Poll Times" select different intervals. 🚨 Important Notes ⚠️ Permissions: Google Drive: Full access to configured folders Google Sheets: Write permission for target table Google Gemini: Valid API key required 📝 Data Format: Works with German number formats (comma as decimal separator) Date format: YYYY-MM-DD Supports various PDF formats 🔄 Error Handling: Workflow fails if folders are missing Incomplete PDFs may lead to incomplete extractions Check logs for troubleshooting 📊 Performance & Limitations Processing time:** 30-60 seconds per invoice Supported formats:** PDF (text and OCR) Batch processing:** Yes, multiple files simultaneously AI accuracy:** ~95% for standardized invoices 🧪 Testing Run Test: Upload a test PDF to the input folder Monitor workflow execution in n8n Check results in Google Sheets Verify correct file movement and renaming Error Diagnosis: For errors: check n8n logs Consider Google API quotas Validate folder permissions 📄 License & Support This workflow can be used and customized freely. For configuration questions or issues, check the n8n community or Google API documentation. Tip: Start with a few test invoices before using the workflow in production!

This n8n workflow template allows you to create a CRUD endpoint that performs the following actions: Create a new record Get a record Get many records Update a record Delete a record This template is connected with Airtable but you can replace the Airtable nodes with anything you need to interact with (e.g. Postgres, MySQL, Notion, Coda...). The template uses the n8n Webhook node setting 'Allow Multiple HTTP Methods' to enable multiple HTTP methods on the same node. Features Just two nodes to create 5 endpoints Use it with Airtable or replace the Airtable nodes for your own customization Add your custom logic exploiting all n8n's possibilities Workflow Steps Webhook node**: exposes the endpoints to get many records and create a new record Webhook (with ID) node**: exposes the endpoints to get, update, and delete a record. Due to a n8n limitation, this endpoint will have an additional code in the path (e.g. https://my.app.n8n.cloud/webhook/580ccc56-f308-4b64-961d-38323501a170/customers/:id). Keep this in mind when using these endpoints in your application Various Airtable nodes**: execute various specific operations to interact with Airtable records Getting Started To deploy and use this template: Import the workflow into your n8n workspace Customize the endpoint paths by tweaking the 'Path' parameters in the 'Webhook' and 'Webhook (with ID)' nodes (currently customers) Set up your Airtable credentials by following this guide and customize the Airtable nodes by selecting your base, table, and the correct fields to update. ...or... replace the Airtable nodes and connect the endpoint to any other service (e.g. Postgres, MySQL, Notion, Coda) How to use the workflow Activate the workflow Connect your app to the endpoints (production URLs) to perform the various operations allowed by the workflow Note that the Webhook nodes have two URLs, one for testing and one for production. The testing URL is activated when you click on 'Test workflow' button and can't be used for production. The production URL is available after you activate the workflow. More info here. Feel free to get in touch with me if you have questions about this workflow.

This workflow allows you to filter positive and negative feedback received from a Typeform and insert the data into Google Sheets. Typeform Trigger node: Start the workflow when a new form is submitted via Typeform Set node: Extract the information submitted in typeform IF node: Filter positive and negative reviews (i.e. ratings above or below 3 out of 5). Google Sheets node: Store the positive and negative reviews and ratings in two different sheets for each case.

This workflow will backup your workflows to Github. It uses the public api to export all of the workflow data using the n8n node. It then loops over the data checks in Github to see if a file exists that uses the workflow name. Once checked it will then update the file on Github if it exists, Create a new file if it doesn't exist and if it's the same it will ignore the file. Config Options repo_owner - Github owner repo_name - Github repository name repo_path - Path within the Github repository >This workflow has been updated to use the n8n node and the code node so requires at least version 0.198.0 of n8n

What Problem Does it Solve This workflow automates the process of finding and collecting job postings from LinkedIn, eliminating the need for manual job searching. It’s designed to save time and ensure you don’t miss out on new opportunities by automatically populating a spreadsheet with key job details. Key Features Automated Data Collection:** The workflow pulls job posts from a LinkedIn search via an RSS feed. Intelligent Data Extraction:** It scrapes the full job description and uses AI to summarize the key benefits and job responsibilities into a concise format. Centralized Database:** All collected and processed information is automatically saved to a Google Sheet, providing a single source of truth for your job search. How It Works The workflow starts when manually triggered. It reads the job posts from a given RSS feed, processing each one individually. For each job, it fetches the full webpage content to extract structured data. This data is then cleaned and passed to an AI model, which generates a brief summary of the job and its benefits. Finally, a new row is either added or updated in a Google Sheet with all the collected details, including the job title, company name, and AI-generated summary. Configuration & Customization This workflow is highly customizable to fit your specific needs. RSS Feed:** To get started, you'll need to provide the RSS feed URL for your desired LinkedIn job search. We can help you set this up. AI Model:** The workflow uses Google Gemini by default, but it can be adjusted to work with other AI platforms. Data Destination:** The output is configured to a Google Sheet, but it can easily be changed to a different platform like Notion or a CRM. AI Prompting:** The AI's instructions are customizable, so you can tailor the output to extract different information or match a specific tone. If you need any help Get In Touch

⚡ UPDATE on May 2025 – added section with all n8n instance webhooks Using n8n a lot? Soar above the limitations of the default n8n dashboard! This template gives you an overview of your workflows, nodes, and tags – all in one place. 💪 Built using XML stylesheets and the Bootstrap 5 library, this workflow is self-contained and does not depend on any third-party software. 🙌 It generates a comprehensive overview JSON that can be easily integrated with other BI tools for further analysis and visualization. 📊 Reach out to Eduard if you need help adapting this workflow to your specific use-case! 🚀 Benefits: Workflow Summary** 📈: Instant overview of your workflows, active counts, and triggers. Left-Side Panel** 📋: Quick access to all your workflows, nodes, and tags for seamless navigation. Workflow Details** 🔬: Deep dive into each workflow's nodes, timestamps, and tags. Node Analysis** 🧩: Identify the most frequently used nodes across your workflows. Tag Organization** 🗂️: Workflows are grouped according to their tags. Webhooks** ⚡: List of all webhook endpoints with the links to workflows. Visually Stunning** 🎨: Clean, intuitive, and easy-to-navigate dashboard design. XML & Bootstrap 5** 🛠️: Built using XML stylesheets and Bootstrap 5, ensuring a self-contained and responsive dashboard. No Dependencies** 🔒: The workflow does not rely on any third-party software. Bootstrap 5 files are loaded via CDN but can be delivered directly from your server. ⚠️ Important note for cloud users Since the cloud version doesn't support environmental variables, please make the following changes: get-nodes-via-jmespath node. Update the instance_url variable: enter your n8n URL instead of {{$env["N8N_PROTOCOL"]}}://{{$env["N8N_HOST"]}} Create HTML node. Please provide the n8n instance URL instead of {{ $env.WEBHOOK_URL }} 🌟Example: Follow me on LinkedIn for more tips on AI automation and n8n workflows!

This workflow automatically manages Acrobat Sign signatures, respond with "intent" to Acrobat-Sign webhooks. Prerequisites Adobe Acrobat Sign and Sign webhook Basic knowledge of JavaScript Nodes Webhook nodes trigger the workflow on new sign intents on a document Respond to Webhook node sets the response headers. Function node processes data returned by the previous node. Set node sets the required values.

Summary Onfleet is a last-mile delivery software that provides end-to-end route planning, dispatch, communication, and analytics to handle the heavy lifting while you can focus on your customers. This workflow template loads in a spreadsheet from your local storage and automatically creates Onfleet tasks on a one-time basis upon workflow trigger. You can use this workflow as a task importer. Configurations Update the Read Binary File node with the absolute file path to the local spreadsheet of interest Update the Onfleet node with your own Onfleet credentials, to register for an Onfleet API key, please visit https://onfleet.com/signup to get started You can easily change how the Onfleet task is created by mapping to additional data in the spreadsheet For import templates, visit Onfleet Support to learn more 👍

This workflow is triggered by a parent workflow initiated via a Slack shortcut. Upon activation, it collects input from a modal window in Slack and initiates a vulnerability scan using the Qualys API. Key Features Trigger:** Launched by a parent workflow through a Slack shortcut with modal input. API Integration:** Utilizes the Qualys API for vulnerability scanning. Data Conversion:** Converts XML scan results to JSON for further processing. Loop Mechanism:** Continuously checks the scan status until completion. Slack Notifications:** Posts scan summary and detailed results to a specified Slack channel. Workflow Nodes Start VM Scan in Qualys: Initiates the scan with specified parameters. Convert XML to JSON: Converts the scan results from XML format to JSON. Fetch Scan Results: Retrieves scan results from Qualys. Check if Scan Finished: Verifies whether the scan is complete. Loop Mechanism: Handles the repetitive checking of the scan status. Slack Notifications: Posts updates and results to Slack. Relevant Links Qualys API Documentation Qualys Platform Documentation Parent workflow link Link to Report Generator Subworkflow