Workflow Templates

⚙ How It Works & Setup Steps: Automated Birthday Discount How It Works This workflow is a powerful yet simple automation to delight your customers on their birthdays. It runs every day on a schedule you define and automatically pulls data from your customer list on Google Sheets. The workflow then checks to see if any customer has a birthday on the current day. If a match is found, it generates a unique discount code and sends a personalized, celebratory email with the code directly to the customer. This ensures no birthday is ever missed, fostering customer loyalty and driving sales with zero manual effort. Setup Steps Follow these steps to get the workflow running in your n8n instance and start sending automated birthday discounts. 1. Prerequisites You will need a working n8n instance and a few key accounts: Google Sheets:* To store your customer data, including their email address and birthday. The birthday column should be formatted as *MM-dd** (e.g., 08-27). Gmail:** To send the personalized birthday emails to your customers. 2. Workflow Import Import the provided workflow JSON into your n8n canvas. All the necessary nodes will appear on your canvas, ready for configuration. 3. Configure Credentials Connect the following credentials to their respective nodes: Google Sheets:* Connect your Google account to the *Get Customer Data** node. Gmail:* Connect your Gmail account to the *Send Birthday Email** node. 4. Customize the Workflow Get Customer Data: Enter the Spreadsheet ID and Sheet Name of your Google Sheet containing the customer data. Is It Their Birthday?: This node compares the customer's birthday column with the current date. Ensure {{ $json.birthday }} matches the exact name of your birthday column in Google Sheets. Generate Discount Code: This node is pre-configured to create a simple unique code. For an e-commerce platform (like Shopify or WooCommerce), you will need to replace this node with the specific API call to generate a valid coupon code in your system. Send Birthday Email: Enter your sender email in the From Email field. Customize the Subject and Message with your own text and branding to make it personal. The {{ $json.name }} and {{ $json.discountCode }} expressions will automatically pull the correct customer name and generated code. 5. Activate the Workflow Once all configurations are complete, click "Save" and then "Active". The workflow is now live and will automatically run every morning to send out birthday wishes!

✅💬Build Your Own WhatsApp Fact-Checking Bot with AI Tired of misinformation spreading on WhatsApp? 🤨 This workflow transforms your n8n instance into a powerful, automated fact-checking bot\! Send any news, claim, or question to a designated WhatsApp number, and this bot will use AI to research it, provide a verdict, and send back a summary with direct source links. Fight fake news with the power of automation and AI\! 🚀 How it works ⚙️ This workflow uses a simple but powerful three-step process: 📬 WhatsApp Gateway (Webhook node): This is the front door. The workflow starts when the Webhook node receives an incoming message from a user via a Twilio WhatsApp number. 🕵️ The Digital Detective (Perplexity node): The user's message is sent to the Perplexity node. Here, a powerful AI model, instructed by a custom system prompt, analyzes the claim, scours the web for reliable information, and generates a verdict (e.g., ✅ Likely True, ❌ Likely False). 📲 WhatsApp Reply (Twilio node): The final, formatted response, complete with the verdict, a simple summary, and source citations, is sent back to the original user via the Twilio node. Setup Guide 🛠️ Follow these steps carefully to get your fact-checking bot up and running. Prerequisites A Twilio Account with an active phone number or access to the WhatsApp Sandbox. A Perplexity AI Account to get an API key. 1\. Configure Credentials You'll need to add API keys for both Perplexity and Twilio to your n8n instance. Perplexity AI: Go to your Perplexity AI API Settings. Generate and copy your API Key. In n8n, go to Credentials \& New, search for "Perplexity," and add your key. Twilio: Go to your Twilio Console Dashboard. Find and copy your Account SID and Auth Token. In n8n, go to Credentials \& New, search for "Twilio," and add your credentials. 2\. Set Up the Webhook and Tunnel To allow Twilio's cloud service to communicate with your n8n instance, you need a public URL. The n8n tunnel is perfect for this. Start the n8n Tunnel: If you are running n8n locally, you'll need to expose it to the web. Open your terminal and run: n8n start --tunnel Copy Your Webhook URL: Once the tunnel is active, open your n8n workflow. In the Receive Whatsapp Messages (Webhook) node, you will see two URLs: Test and Production. Copy the Test/Production URL. This is the public URL that Twilio will use. 3\. Configure Your Twilio WhatsApp Sandbox Go to the Twilio Console and navigate to Messaging \& Try it out \& Send a WhatsApp message. Select the Sandbox Settings tab. In the section "WHEN A MESSAGE COMES IN," paste your n8n Production Webhook URL. Make sure the method is set to HTTP POST. Click Save. How to Use Your Bot 🚀 Activate the Sandbox: To start, you (and any other users) must send a WhatsApp message with the join code (e.g., join given-word) to your Twilio Sandbox number. Twilio provides this phrase on the same Sandbox page. Fact-Check Away\! Once joined, simply send any claim or question to the Twilio number. For example: Did Elon Musk discover a new planet? Within moments, the workflow will trigger, and you'll receive a formatted reply with the verdict and sources right in your chat\! Further Reading & Resources 🔗 n8n Tunnel Documentation Twilio for WhatsApp Quickstart Perplexity AI API Documentation

Tags*: Supply Chain, Inventory Management, ABC Analysis, Pareto Principle, Demand Variability, Automation, Google Sheets Context Hi! I’m Samir — a Supply Chain Engineer and Data Scientist based in Paris, and founder of LogiGreen Consulting. I help companies optimise inventory and logistics operations by combining data analytics and workflow automation. This workflow is part of our inventory optimisation toolkit, allowing businesses to perform ABC classification and Pareto analysis directly from their transactional sales data. > Automate inventory segmentation with n8n! 📬 For business inquiries, feel free to connect with me on LinkedIn Who is this template for? This workflow is designed for supply chain analysts, demand planners, or inventory managers who want to: Identify their top-performing items (Pareto 80/20 principle) Classify products into ABC categories based on sales contribution Evaluate demand variability (XYZ classification support) Imagine you have a Google Sheet where daily sales transactions are stored: The workflow aggregates sales by item, calculates cumulative contribution, and assigns A, B, or C classes. It also computes mean, standard deviation, and coefficient of variation (CV) to highlight demand volatility. How does it work? This workflow automates the process of ABC & Pareto analysis from raw sales data: 📊 Google Sheets input provides daily transactional sales 🧮 Aggregation & code nodes compute sales, turnover, and cumulative shares 🧠 ABC class mapping assigns items into A/B/C buckets 📈 Demand variability metrics (XYZ) are calculated 📑 Results are appended into dedicated Google Sheets tabs for reporting 🎥 Watch My Tutorial Steps: 📝 Load daily sales records from Google Sheets 🔎 Filter out items with zero sales 📊 Aggregate sales by store, item, and day 📈 Perform Pareto analysis to calculate cumulative turnover share 🧮 Compute demand variability (mean, stdev, CV) 🧠 Assign ABC classes based on cumulative share thresholds 📥 Append results into ABC XYZ and Pareto output sheets What do I need to get started? You’ll need: A Google Sheet with sales transactions (date, item, quantity, turnover) that is available here: Test Sheet A Google Sheets account connected in n8n Basic knowledge of inventory analysis (ABC/XYZ) Next Steps 🗒️ Use the sticky notes in the n8n canvas to: Add your Google Sheets credentials Replace the Sheet ID with your own sales dataset Run the workflow and check the output tabs: ABC XYZ, Pareto, and Store Sales This template was built using n8n v1.107.3 Submitted: September 15, 2025

Sync Android drawable assets from Figma to GitHub via PR (multi‑density PNG) This n8n workflow automatically fetches design assets (icons, buttons) from Figma, exports them into Android drawable folder formats based on resolution (e.g., mdpi, hdpi, etc.) and commits them to a GitHub branch, creating a Pull Request with all updates. Who’s it for Android / Flutter developers** managing multiple screen densities. Design + Dev teams** wanting to automate asset delivery from Figma to codebase. Mobile teams** tired of manually exporting assets, resizing, organizing and uploading to GitHub. How it works Execute Flow manually or via trigger. Fetches all export URLs from a Figma file. Filters out only relevant components (Icon, Button). Prepares Android drawable folders for each density. Merges components with folder mapping. Calls Figma export API to get image URLs. Filters out empty/invalid URLs. Downloads all images as binary. Merges images with metadata. Renames and adjusts file names if needed. Prevents duplicate PRs using conditional checks. Commits files and opens a GitHub Pull Request. How to set up Set up your Figma token (with file access) Get Figma File Key and desired parent node ID Connect your GitHub account in n8n Prepare a GitHub branch for uploading assets Add your drawable folders config Adjust file naming logic as per your code style Run the workflow Requirements | Tool | Purpose | |------------------|-------------------------------------------| | Figma API Token | To fetch assets and export URLs | | GitHub Token | To commit files and open PR | | n8n | Workflow automation engine | | Figma File Key | Target design file | | Node Names | Named like Icon, Button | How to customize Add more component types** to extract (e.g., Avatar, Chip) Change drawable folder structure** for other platforms (iOS, Web) Add image optimization** before commit Switch from branch PR to direct commit** if preferred Add CI triggers** (e.g., Slack notifications or Jenkins trigger post-PR) Add‑ons Slack Notification Node Commit summary to CHANGELOG.md Image format conversion (e.g., SVG → PNG, PNG → WebP) Auto-tag new versions based on new asset count Use Case Examples Auto-export design changes as Android-ready assets Designers upload icons in Figma → Devs get PR with ready assets Maintain pixel-perfect assets per density without manual effort Integrate this into weekly design-dev sync workflows Common Troubleshooting | Issue | Possible Cause | Solution | |-----------------------------------|---------------------------------------------------|------------------------------------------------------------------------------| | Export URL is null | Figma node has no export settings | Add export settings in Figma for all components | | Images not appearing in PR | Merge or file name logic is incorrect | Recheck merge nodes, ensure file names include extensions | | Duplicate PR created | Condition node not properly checking branch | Update condition to check existing PR or use unique branch name | | Figma API returns 403/401 | Invalid or expired Figma token | Regenerate token and update n8n credentials | | GitHub file upload fails | Wrong path or binary input mismatch | Ensure correct folder structure (drawable-mdpi, etc.) and valid binary | | Assets missing certain resolutions| Not all resolutions exported in Figma | Export all densities in Figma, or fallback to default | Need Help? If you’d like help setting up, customizing or expanding this flow, feel free to reach out to our n8n automation team at WeblineIndia! We can help you: Fine-tune Figma queries Improve file renaming rules Integrate Slack / CI pipelines Add support for other platforms (iOS/Web) Happy automating!

How it works This workflow automates the process of fetching weather forecasts for your home location, including severe weather alerts, and sends timely notifications. It uses the Visual Crossing API for detailed weather data and integrates with Telegram (or other messaging services) for messaging and alerts. Step-by-step In summary, the workflow runs every hour, grabs the current day's weather conditions for [your city/location of interest], and returns only those items that truly contain one or more weather alerts. 📅 Step 1: Hourly Trigger The workflow begins with the Hourly Trigger node, which is a scheduleTrigger. This node acts as the clock that initiates the entire process at regular hourly intervals. 🌤️ Step 2: Fetch Weather Data Immediately after the trigger, the workflow moves to the Meteo node, an httpRequest. This node makes an external API call to fetch weather data for your specified location. API Used: Visual Crossing Web Services Authentication: Uses your API key (key=[API KEY]) Response format: JSON 🌪🌀 Step 3: Check for Severe Weather The JSON weather data output is analyzed, and if severe weather conditions or alerts are detected, the workflow sends the alert via your preferred communication channel(s). Optional You can replace the Telegram node with email, WhatsApp, SMS notifications, or add multiple notification nodes to receive severe weather alerts across all desired channels.

Olostep Google Maps Lead Generation Automation This n8n template automates lead generation by scraping Google Maps using the Olostep API. It extracts business names, locations, websites, phone numbers, and decision-maker names (CEO, Founder, etc.) directly from the business website — and saves everything into a Google Sheet. Who’s it for Marketers and agencies doing local business outreach. SaaS founders looking for prospects. Freelancers and growth hackers scraping Google Maps leads. Anyone who wants automated business research without manual data entry. How it works / What it does Form Trigger: User submits a form with: City + Business Type (e.g., "Dentist in Miami"). Google Maps Scraping: The workflow sends the query to the Olostep scraping API. Extracts: Business name Location Website Phone number Clean the Data: Parsed JSON is split into items. A Remove Duplicates node ensures only unique leads continue. Loop Through Each Business: For every business, the workflow triggers a second Olostep scrape — this time on the business’s website. It extracts: First name of decision-maker Last name of decision-maker (Optional) general contact email found on the website Store the Lead: The final combined lead is appended to a Google Sheet with these fields: Business Name Location Website Phone Number Decision-Maker Name Contact Email (if found) Loop & Wait: A wait step ensures you stay within rate limits while scraping multiple websites. This produces a clean, enriched list of leads ready for outreach or CRM import. How to set up Import the template into your n8n workspace. Add your Olostep API key. Connect Google Sheets for output storage. Publish your form to collect search requests. Run the workflow — leads will appear automatically in your sheet. Requirements Olostep API key. Google Sheets account. n8n account or self-hosted instance. How to customize the workflow Add CRM destinations (HubSpot, Airtable, Notion). Expand LLM-extraction to capture: social links, descriptions, ratings, etc. Add validation rules before saving a lead. Enable notification steps (Telegram, Slack) when batches finish. Add additional enrichment steps (e.g., scrape About pages, contact pages, multiple URLs). 👉 This workflow gives you a complete lead generation system from Google Maps + business website analysis — with no manual scraping needed.

An intelligent automation workflow that monitors thought leader activity via social listening, tracks high-value prospects who engage with industry content, and systematically builds a qualified lead database through social intelligence gathering. Overview This workflow transforms passive social listening into proactive lead generation by identifying prospects who demonstrate genuine interest in industry topics through their engagement with thought leader content. It creates a continuous pipeline of warm prospects with enriched data for personalized outreach. 🔄 Workflow Process 1. Social Intelligence Webhook Real-time engagement monitoring Integrated with Trigify.io social listening platform Monitors thought leader posts and their engagers Captures detailed prospect and company enrichment data Processes LinkedIn engagement activities in real-time Includes enriched contact information (email, phone, LinkedIn URLs) 2. Data Processing & Extraction Structured data organization Post Data Extraction**: Isolates LinkedIn post URLs, content, and posting dates Prospect Data Extraction**: Captures first/last names, job titles, LinkedIn profiles, and locations Company Data Extraction**: Gathers company names, domains, sizes, industries, and LinkedIn pages Prepares data for duplicate detection and storage systems 3. Duplicate Detection System Data quality maintenance Queries existing Google Sheets database by post URL Identifies previously tracked thought leader content Filters out duplicate posts to maintain data quality Only processes genuinely new thought leader activities Maintains clean, unique post tracking records 4. New Content Validation Gate Quality control checkpoint Validates that post URLs are not empty (indicating new content) Prevents processing of duplicate or invalid data Ensures only fresh thought leader content triggers downstream actions Maintains database integrity and notification relevance 5. Thought Leader Post Tracking Systematic content monitoring Appends new thought leader posts to "Social Warming" Google Sheets Records post URLs, content text, and publication dates Creates searchable database of industry thought leadership content Enables trend analysis and content performance tracking 6. Real-Time Slack Notifications Immediate team alerts Sends formatted alerts to #comment-strategy channel Includes post content, publication date, and direct links Provides action buttons (View Post, Engage Now, Save for Later) Enables rapid response to thought leader activity Facilitates team coordination on engagement opportunities 7. ICP Qualification Filter Smart prospect identification Filters engagers by job title keywords (currently: "marketing") Customizable ICP criteria for targeted lead generation Focuses on high-value prospects matching ideal customer profiles Prevents database pollution with irrelevant contacts 8. Qualified Lead Database Systematic prospect capture Appends qualified engagers to "Engagers" Google Sheets Records comprehensive prospect and company data Includes contact enrichment (emails, phone numbers) Creates actionable lead database for sales outreach Maintains detailed company intelligence for personalization 🛠️ Technology Stack n8n**: Workflow orchestration and webhook management Trigify.io**: Social listening and engagement monitoring platform Google Sheets**: Lead database and content tracking system Slack API**: Real-time team notifications and collaboration Data Enrichment**: Automated contact and company information gathering ✨ Key Features Real-time thought leader content monitoring Automated prospect discovery through social engagement ICP-based lead qualification and filtering Duplicate content detection and prevention Comprehensive prospect and company data enrichment Integrated CRM-ready lead database creation Team collaboration through Slack notifications Customizable qualification criteria for targeted lead generation 🎯 Ideal Use Cases Perfect for sales and marketing teams seeking warm prospects: B2B Sales Teams** seeking warm prospects through social engagement Marketing Professionals** building targeted lead databases Business Development Teams** identifying engaged prospects Account-Based Marketing Campaigns** requiring social intelligence Sales Professionals** needing conversation starters with warm leads Companies** wanting to identify prospects already engaged with industry content Teams** requiring systematic lead qualification through social activity Organizations** seeking to leverage thought leadership for lead generation 📈 Business Impact Transform social listening into strategic lead generation: Warm Lead Generation**: Identifies prospects already engaged with industry content Social Selling Intelligence**: Provides conversation starters through engagement history ICP Qualification**: Focuses efforts on prospects matching ideal customer profiles Relationship Building**: Enables outreach based on genuine interest demonstration Market Intelligence**: Tracks industry engagement patterns and trending content Sales Efficiency**: Prioritizes prospects who show active industry engagement Personalization Data**: Provides context for highly personalized outreach campaigns 💡 Strategic Advantage This workflow creates a fundamental shift from cold outreach to warm, contextual conversations. By identifying prospects who have already demonstrated interest in industry topics through their engagement behavior, sales teams can approach leads with genuine relevance and shared context. The system delivers: Continuous Pipeline**: Automated flow of warm prospects showing industry engagement Social Context**: Rich background data for meaningful, personalized conversations Quality Focus**: ICP-filtered prospects matching ideal customer profiles Engagement History**: Conversation starters based on actual prospect interests Competitive Advantage**: Proactive lead identification before competitors Rather than interrupting prospects with cold messages, this workflow enables sales teams to join conversations prospects are already having, dramatically increasing response rates and relationship-building success.

What It Does This workflow allows you to quickly generate and send invoices by collecting missing billing details from clients through an automated form and email sequence. It integrates Gmail and QuickBooks Online to handle the full billing flow: from request to invoice, reducing manual data entry and time wasted switching between apps. Perfect for freelancers, service providers, or teams that want to streamline invoicing without going back and forth with clients. Prerequisites Gmail OAuth2 credential QuickBooks Online OAuth2 credential How It Works Trigger: Manually start the workflow by filling out a form with the client’s email, invoice amount, description, and product. Send Request Email: A pre-written email is sent to the client asking them to provide their billing details. Collect Info: The client submits their billing name and address via a hosted form. Add/Find Client in QuickBooks: If the client doesn't exist, a new record is created; otherwise, the existing client is used. Generate Invoice: A QuickBooks invoice is created using the submitted info and selected product. Send Invoice: The invoice is automatically emailed to the client using QuickBooks' native interface. Example Use Cases Freelancers requesting billing info before sending an invoice Small businesses invoicing new clients without manual QuickBooks entry Sales or ops teams who want to request billing info via email with just a few clicks Automating follow-up for new customer onboarding or service requests Setup Instructions Connect your Gmail and QuickBooks credentials Add your products to the dropdown list in the Enter Client Details node ⚠️ Make sure the product names exactly match the items in QuickBooks Select the tax code in the Create A New Invoice node Customize the email message in the Send Invoice Request Gmail node to reflect your brand voice How to Use Copy the public URL from the Enter Client Details node (this way you don't have to trigger the workflow manually inside n8n) Each time you need to invoice a client, open the form and fill in: Client’s email Product/service name Invoice amount and description The client receives an email prompting them to fill in their billing info Once submitted, the system creates and sends a QuickBooks invoice automatically Customization Options Add support for multiple line items Automatically send reminder emails if the form isn't completed within a day Add internal logging (Google Sheets, Airtable, etc.) for sent/paid invoices Why It's Useful This workflow removes friction from your billing process. Instead of chasing clients for info and copying data into QuickBooks, you send one email and automation does the rest. It saves time, reduces errors, and makes invoicing feel seamless — while still keeping you in control.

Overview This workflow extracts text from Instagram images by combining HikerAPI and OCR.Space. You can use it to collect text data from single posts or carousels, analyze visual content, or repurpose insights without manual copying. The process is fully automated inside N8N and helps marketers, researchers, and teams gather Instagram text quickly. How it works Takes an Instagram post URL, either a single post or a carousel Retrieves media data using the HikerAPI Get Media endpoint Detects the post type, whether single feed, carousel, or reel For single posts, sends the image to OCR.Space for text extraction For carousels, loops through each slide and extracts text from every image Merges all parsed results into one raw text output Use cases Collecting text data from Instagram images for research Extracting visual insights for marketing analysis Repurposing creator content without manual transcription Helping marketers, agencies, and researchers identify message patterns in visual posts Prerequisites HikerAPI account with access to the Instagram media endpoint OCR.Space API key for image text extraction A valid Instagram post URL N8N instance capable of running HTTP requests and looping through items Set up steps Prepare your API keys for HikerAPI and OCR.Space Insert both API keys into their respective HTTP Request nodes Paste the Instagram post URL into the IGPost URL node Run the workflow to generate raw text extracted from Instagram images Check the sticky notes inside the workflow for additional guidance Made by @fataelislami https://pake.ai

Internet Search Chat with Firecrawl How it works A user sends a query via the chat widget and the Chat Trigger captures the message. The chat flow posts the query to the backend webhook (HTTP Request) which forwards it to the search service. The webhook calls Firecrawl to run the web search and returns raw results. A formatter converts the raw results into concise Markdown blocks and separators. The chat node sends the formatted search summary back to the user. Optional: an admin can manually trigger a credits check to review Firecrawl usage. Setup [ ] Add Firecrawl API credentials in n8n. [ ] Update the webhook URL in the "Define constants" node to your n8n instance URL. [ ] Configure and enable the Chat Trigger (make it public and set initial messages). [ ] Ensure the webhook node path matches the constant and is reachable from the chat node. [ ] Test the chat by sending a sample query and verify the formatted search results. [ ] (Optional) Run the manual "Check credits" trigger to monitor Firecrawl account usage.

This workflow fetches the complete content of a specific Notion page and converts all its blocks into a single HTML string compatible with the WordPress Gutenberg block editor. It's designed to be used as a sub-workflow. You can call it from a parent workflow (e.g., "when a Notion page is updated") by passing it a notion_url. It returns a single item containing the complete, ready-to-use HTML for a WordPress post body. Key Features Full Page Conversion: Fetches all blocks from a page, including nested blocks (like content inside columns or toggles). Rich Text Support: Correctly parses and converts rich text annotations, including bold, italic, \<u\>underline\</u\>, \<s\>strikethrough\</s\>, and links. Gutenberg-Compatible: Wraps content in the appropriate Gutenberg HTML comments (e.g., , , \\) so WordPress recognizes them as blocks. Handles Complex Layouts: Includes specific logic to correctly rebuild Notion's column and column\_list blocks into a responsive Gutenberg-friendly format. Supports Various Blocks: Converts paragraphs, all heading types (H1, H2, H3), bulleted and numbered lists, images, videos (YouTube/Vimeo), embeds, code blocks, and dividers. How It Works Input: The workflow is triggered by an Execute Workflow node, which expects a notion_url in the input data. (A manual trigger with a sample URL is included for testing). Fetch Data: It first gets the Notion page specified by the URL and then uses a second Notion node to fetch all child blocks recursively (fetchNestedBlocks: true). Process Rich Text: A Code node (decode paragraphs) iterates over text-based blocks (paragraphs, lists) and uses a helper function to convert the Notion annotations array into standard HTML tags (e.g., `, , `). Convert Blocks: A second Code node (decode blocks) uses a large switch statement to map each Notion block type to its corresponding Gutenberg HTML structure. Rebuild Columns: A crucial Code node (column&column_list) runs once on all blocks. It finds all column blocks, then finds their children, and finally wraps them inside their parent column_list block. This is essential for correctly handling nested layouts. Filter & Aggregate: The workflow filters out all nested blocks, keeping only the top-level ones (since the nested content is now inside its parent, like the column block). It then aggregates all the generated HTML snippets into a single array. Final Output: A final Set node joins the array of HTML blocks with newline characters, producing a single text string in a field named wp. This string can be directly used in the "Content" field of a WordPress node in your parent workflow. Setup Notion Credentials: You must configure your Notion credentials in the two Notion nodes: Get a database page Get many child blocks Trigger: To use this, call it from another workflow using an Execute Workflow node. Pass the URL of the Notion page you want to convert in the notion_url field.

Legal professionals spend countless hours manually checking citations and building citation indexes for briefs, memoranda, and legal opinions. This workflow automates the extraction, validation, and analysis of legal citations from any legal document, including scanned court documents, photographed case files, and image-based legal materials (PDFs, JPGs, PNGs). Target Audience: Attorneys, paralegals, legal researchers, judicial clerks, law students, and legal writing professionals who need to extract, validate, and manage legal citations efficiently across multiple jurisdictions. Problem Solved: Manual citation checking is extremely time-consuming and error-prone. Legal professionals struggle to ensure citation accuracy, verify case law is still good law, and build comprehensive citation indexes. This template automates the entire citation management process while ensuring compliance with citation standards like Bluebook format. Setup Instructions: Configure Google Drive credentials for secure legal document access Install the PDF Vector community node from the n8n marketplace Configure PDF Vector API credentials Set up connections to legal databases (Westlaw, LexisNexis if available) Configure jurisdiction-specific citation rules Set up validation preferences and citation format standards Configure citation reporting and export formats Key Features: Automatic retrieval of legal documents from Google Drive OCR support for handwritten annotations and scanned legal documents Comprehensive extraction of case law, statutes, regulations, and academic citations Bluebook citation format validation and standardization Automated Shepardizing to verify cases are still good law Pinpoint citation detection and parenthetical extraction Citation network analysis showing case relationships Support for federal, state, and international law references Customization Options: Set jurisdiction-specific citation rules and formats Configure automated alerts for superseded statutes or overruled cases Customize citation validation criteria and standards Set up integration with legal research platforms (Westlaw, LexisNexis) Configure export formats for different legal document types Add support for specialty legal domains (tax law, patent law, etc.) Set up collaborative citation checking for legal teams Implementation Details: The workflow uses advanced legal domain knowledge to identify and extract citations in various formats across multiple jurisdictions. It processes both digital and scanned documents, validates citations against legal standards, and builds comprehensive citation networks. The system automatically checks citation accuracy and provides detailed reports for legal document preparation. Note: This workflow uses the PDF Vector community node. Make sure to install it from the n8n community nodes collection before using this template.