Workflow Templates

🎙️ n8n Workflow: Voice Message Transcription with Access Control This n8n workflow enables automated transcription of voice messages in Telegram groups with built-in access control and intelligent fallback mechanisms. It's designed for teams that need to convert audio messages to text while maintaining security and handling various audio formats. 📌 Section 1: Trigger & Access Control ⚡ Receive Message (Telegram Trigger) Purpose: Captures incoming messages from users in your Telegram group. How it works: When a user sends a message (voice, audio, or text), the workflow is triggered and the sender's information is captured. Benefit: Serves as the entry point for the entire transcription pipeline. 🔐 Sender Verification Purpose: Validates whether the sender has permission to use the transcription service. Logic: Check sender against authorized users list If authorized → Proceed to next step If not authorized → Send "Access denied" message and stop workflow Benefit: Prevents unauthorized users from consuming AI credits and accessing the service. 📌 Section 2: Message Type Detection 🎵 Audio/Voice Recognition Purpose: Identifies the type of incoming message and audio format. Why it's needed: Telegram handles different audio types with different statuses: Voice notes (voice messages) Audio files (standard audio attachments) Text messages (no audio content) Process: Check if message contains audio/voice content If no audio file detected → Send "No audio file found" message If audio detected → Assign file ID and proceed to format detection 🧩 File Type Determination (IF Node) Purpose: Identifies the specific audio format for proper processing. Supported formats: OGG (Telegram voice messages) MPEG/MP3 MP4/M4A Other audio formats Logic: If format recognized → Proceed to transcription If format not recognized → Send "File format not recognized" message Benefit: Ensures compatibility with transcription services by validating file types upfront. 📌 Section 3: Primary Transcription (OpenAI) 📥 File Download Purpose: Downloads the audio file from Telegram for processing. 🤖 OpenAI Transcription Purpose: Transcribes audio to text using OpenAI's Whisper API. Why OpenAI: High-quality transcription with cost-effective pricing. Process: Send downloaded file to OpenAI transcription API Simultaneously send notification: "Transcription started" If successful → Assign transcribed text to variable and proceed If error occurs → Trigger fallback mechanism Benefit: Fast, accurate transcription with multi-language support. 📌 Section 4: Fallback Transcription (Gemini) 🛟 Gemini Backup Transcription Purpose: Provides a safety net if OpenAI transcription fails. Process: Receives file only if OpenAI node returns an error Downloads and processes the same audio file Sends to Google Gemini for transcription Assigns transcribed text to the same text variable Benefit: Ensures high reliability—if one service fails, the other takes over automatically. 📌 Section 5: Message Length Handling 📏 Text Length Check (IF Node) Purpose: Determines if the transcribed text exceeds Telegram's character limit. Logic: If text ≤ 4000 characters → Send directly to Telegram If text > 4000 characters → Split into chunks Why: Telegram has a 4,000-character limit per message. ✂️ Text Splitting (Code Node) Purpose: Breaks long transcriptions into 4,000-character segments. Process: Receives text longer than 4,000 characters Splits text into chunks of ≤4,000 characters Maintains readability by avoiding mid-word breaks Outputs array of text chunks 📌 Section 6: Response Delivery 💬 Send Transcription (Telegram Node) Purpose: Delivers the transcribed text back to the Telegram group. Behavior: Short messages:** Sent as a single message Long messages:** Sent as multiple sequential messages Benefit: Users receive complete transcriptions regardless of length, ensuring no content is lost. 📊 Workflow Overview Table | Section | Node Name | Purpose | |---------|-----------|---------| | 1. Trigger | Receive Message | Captures incoming Telegram messages | | 2. Access Control | Sender Verification | Validates user permissions | | 3. Detection | Audio/Voice Recognition | Identifies message type and audio format | | 4. Validation | File Type Check | Verifies supported audio formats | | 5. Download | File Download | Retrieves audio file from Telegram | | 6. Primary AI | OpenAI Transcription | Main transcription service | | 7. Fallback AI | Gemini Transcription | Backup transcription service | | 8. Processing | Text Length Check | Determines if splitting is needed | | 9. Splitting | Code Node | Breaks long text into chunks | | 10. Response | Send to Telegram | Delivers transcribed text | 🎯 Key Benefits 🔐 Secure access control: Only authorized users can trigger transcriptions 💰 Cost management: Prevents unauthorized credit consumption 🎵 Multi-format support: Handles various Telegram audio types 🛡️ High reliability: Dual-AI fallback ensures transcription success 📱 Telegram-optimized: Automatically handles message length limits 🌍 Multi-language: Both AI services support numerous languages ⚡ Real-time notifications: Users receive status updates during processing 🔄 Automatic chunking: Long transcriptions are intelligently split 🧠 Smart routing: Files are processed through the optimal path 📊 Complete delivery: No content loss regardless of transcription length 🚀 Use Cases Team meetings:** Transcribe voice notes from team discussions Client communications:** Convert client voice messages to searchable text Documentation:** Create text records of verbal communications Accessibility:** Make audio content accessible to all team members Multi-language teams:** Leverage AI transcription for various languages

📬 Plex Recently Added → Responsive Email Newsletter (Tautulli Alternative) What it is This workflow automatically creates a weekly Plex newsletter that highlights recently added Movies & TV Shows. It’s designed to be mobile-friendly and Gmail/iOS Mail compatible, making it easy to share Plex updates with friends, family, or your community. How it works • ⏰ Runs on a weekly schedule (customizable). • 🎬 Fetches recently added Movies & TV Shows from Tautulli API. • 📰 Builds a responsive HTML newsletter that works in Gmail, iOS Mail, and most clients. • 📧 Sends one personalized email per recipient via SMTP. • 🗒️ Every node has a Sticky Note explaining setup and purpose. How to set up Replace the placeholders in the nodes with your own details: • YOUR_TAUTULLI_URL • YOUR_API_KEY • YOUR_PLEX_TOKEN • YOUR_PLEX_SERVER_ID Update the recipient list in Prepare Emails for Recipients. Add your SMTP credentials in Send Newsletter Emails. (Optional) Customize the HTML/CSS in Generate HTML Newsletter. Requirements • Plex Media Server with Tautulli installed. • SMTP account (Gmail, custom domain, etc.). Customization • Change the schedule to daily/weekly as needed. • Edit the HTML template for your own branding. • Extend with additional nodes (Discord, Slack, etc.). ⸻ ⚡ Workflow Overview: ``⏰ Schedule Trigger → 🎬 Fetch Movies → 📺 Fetch TV → 🔗 Merge → 📰 Build HTML → 📧 Prepare Recipients → 📤 Send → ✅ Finish ``

YNAB Super Budget Ever wish that Y.N.A.B was just a little smarter when auto-categorizing your transactions? Now you can supercharge your YNAB budget with ChatGPT! No more manual categorization. Setup Get a YNAB Api Key Get YNAB Budget ID & Account ID (They are part of the URL) https://app.ynab.com/BUDGETID/accounts/ACCOUNTID Additional information Every transaction that this workflow modifies will be tagged with n8n and color yellow. You can easily review all changes by selecting just that tag. Customization By default it pulls transactions from the last 30 days. This workflow will post a message in a discord channel showing which transactions it modified and what categories it chose. Discord notifications are optional. Considerations YNAB allows for 200 api calls per hour. If you have more than 200 Uncategorized transactions, consider reducing the previous_days value.

This workflow automates the process of extracting structured, usable information from unstructured email messages across multiple platforms. It connects directly to Gmail, Outlook, and IMAP accounts, retrieves incoming emails, and sends their content to an AI-powered parsing agent built on OpenAI GPT models. The AI agent analyzes each email, identifies relevant details, and returns a clean JSON structure containing key fields: From** – sender’s email address To** – recipient’s email address Subject** – email subject line Summary** – short AI-generated summary of the email body The extracted information is then automatically inserted into an n8n Data Table, creating a structured database of email metadata and summaries ready for indexing, reporting, or integration with other tools. Key Benefits ✅ Full Automation: Eliminates manual reading and data entry from incoming emails. ✅ Multi-Source Integration: Handles data from different email providers seamlessly. ✅ AI-Driven Accuracy: Uses advanced language models to interpret complex or unformatted content. ✅ Structured Storage: Creates a standardized, query-ready dataset from previously unstructured text. ✅ Time Efficiency: Processes emails in real time, improving productivity and response speed. ✅ *Scalability:** Easily extendable to handle additional sources or extract more data fields. How it works This workflow automates the transformation of unstructured email data into a structured, queryable format. It operates through a series of connected steps: Email Triggering: The workflow is initiated by one of three different email triggers (Gmail, Microsoft Outlook, or a generic IMAP account), which constantly monitor for new incoming emails. AI-Powered Parsing & Structuring: When a new email is detected, its raw, unstructured content is passed to a central "Parsing Agent." This agent uses a specified OpenAI language model to intelligently analyze the email text. Data Extraction & Standardization: Following a predefined system prompt, the AI agent extracts key information from the email, such as the sender, recipient, subject, and a generated summary. It then forces the output into a strict JSON structure using a "Structured Output Parser" node, ensuring data consistency. Data Storage: Finally, the clean, structured data (the from, to, subject, and summarize fields) is inserted as a new row into a specified n8n Data Table, creating a searchable and reportable database of email information. Set up steps To implement this workflow, follow these configuration steps: Prepare the Data Table: Create a new Data Table within n8n. Define the columns with the following names and string type: From, To, Subject, and Summary. Configure Email Credentials: Set up the credential connections for the email services you wish to use (Gmail OAuth2, Microsoft Outlook OAuth2, and/or IMAP). Ensure the accounts have the necessary permissions to read emails. Configure AI Model Credentials: Set up the OpenAI API credential with a valid API key. The workflow is configured to use the model, but this can be changed in the respective nodes if needed. Connect the Nodes: The workflow canvas is already correctly wired. Visually confirm that the email triggers are connected to the "Parsing Agent," which is connected to the "Insert row" (Data Table) node. Also, ensure the "OpenAI Chat Model" and "Structured Output Parser" are connected to the "Parsing Agent" as its AI model and output parser, respectively. Activate the Workflow: Save the workflow and toggle the "Active" switch to ON. The triggers will begin polling for new emails according to their schedule (e.g., every minute), and the automation will start processing incoming messages. Need help customizing? Contact me for consulting and support or add me on Linkedin.

How it works This workflow starts whenever a new lead submits a Typeform. It captures the lead’s details, checks their budget, and routes them based on priority and source. High-budget leads are pushed into HubSpot with a follow-up task for sales. Facebook leads are logged in Google Sheets for marketing, while SurveyMonkey leads are stored in Airtable for campaign tracking. Finally, every lead receives an automated Gmail acknowledgment to confirm receipt and set expectations. Step-by-step Capture Leads The workflow listens for new form responses from Typeform. Each lead’s details — name, email, phone, budget, and message — are captured for processing. Prioritize High-Budget Leads The budget field is checked. If the budget is greater than $5,000 → the lead is flagged as high priority. These leads are added or updated in HubSpot CRM. A priority follow-up task is created in HubSpot for the sales team. Route by Lead Source If the source is Facebook → the lead is logged in a Google Sheet for marketing analysis. If the source is SurveyMonkey → the lead is stored in Airtable for structured campaign tracking. Send Auto-Response After storage, every lead receives an automated Gmail reply. The email thanks them for their interest and assures them that the sales team will follow up within 24 hours. Why use this? Captures and organizes leads from multiple channels in one workflow. Flags and escalates high-budget leads instantly to sales. Routes leads to the right system (HubSpot, Google Sheets, Airtable) based on their source. Automates acknowledgment emails, improving response time and customer experience. Saves manual effort by centralizing lead capture, qualification, and routing in one place.

How It Works This workflow automatically classifies incoming Gmail messages into categories such as High Priority, Inquiry, and Finance/Billing, and then generates professional draft replies using GPT-4. By combining Gmail integration with AI-powered text generation, the workflow helps business owners and freelancers reduce the time spent managing emails while ensuring that important messages are handled quickly and consistently. When a new email arrives, the workflow: Triggers via Gmail. Uses an AI classifier to categorize the message. Applies the appropriate Gmail label. Passes the email body to GPT-4 to generate a tailored draft reply. Saves the draft in Gmail, ready for review and sending. Requirements A Gmail account with API access enabled. An OpenAI API key with GPT-4 access. n8n account or self-hosted instance. Setup Instructions Import this workflow into your n8n instance. Under Credentials, connect your Gmail account and OpenAI API key. Replace placeholder YOUR_LABEL_ID_XXX values with your Gmail label IDs (obtainable via Gmail → List Labels). Execute the workflow and check that draft replies are generated in your Gmail account. Customization Add or edit categories to fit your business needs (e.g., “Sales Leads” or “Support”). Adjust the GPT-4 prompts inside each “Generate Draft” node to match your preferred tone and style. Combine with other workflows (e.g., CRM integration, Slack alerts) for a complete email automation system. This template is especially useful for small businesses and freelancers who want to save time, improve response speed, and maintain professional communication without manually writing every reply.

YouTube Transcript Extractor This n8n template demonstrates how to extract transcripts from YouTube videos using two different approaches: automated Google Sheets monitoring and direct webhook API calls. Use cases: Content creation, research, accessibility, meeting notes, content repurposing, SEO analysis, or building transcript databases for analysis. How it works Google Sheets Integration:** Monitor a sheet for new YouTube URLs and automatically extract transcripts Direct API Access:** Send YouTube URLs via webhook and get instant transcript responses Smart Parsing:** Extracts video ID from various YouTube URL formats (youtube.com, youtu.be, embed) Rich Metadata:** Returns video title, channel, publish date, duration, and category alongside transcript Fallback Handling:** Gracefully handles videos without available transcripts Two Workflow Paths Automated Sheet Processing: Add URLs to Google Sheet → Auto-extract → Save results to sheet Webhook API: Send POST request with video URL → Get instant transcript response How to set up Replace "Dummy YouTube Transcript API" credentials with your YouTube Transcript API key Create your own Google Sheet with columns: "url" (input sheet) and "video title", "transcript" (results sheet) Update Google Sheets credentials to connect your sheets Test each workflow path separately Customize the webhook path and authentication as needed Requirements YouTube Transcript API access (youtube-transcript.io or similar) Google Sheets API credentials (for automated workflow) n8n instance (cloud or self-hosted) YouTube videos How to customize Modify transcript processing in the Code nodes Add additional metadata extraction Connect to other storage solutions (databases, CMS) Add text analysis or summarization steps Set up notifications for new transcripts

Use cases are many: Automate resume screening, candidate scoring, and interview communication in one seamless pipeline. Perfect for HR teams hiring at scale, startups that need quick filtering of applicants, or enterprises like Samsung running multiple roles at once. Good to know At time of writing, each Gemini request is billed per token. See Gemini Pricing for the latest info. The workflow automatically sends acceptance or rejection emails to candidates — be sure to configure your Gmail account and email templates carefully. How it works Form Submission**: Applicants fill out a custom form with their name, email, job role (Executive Assistant, IT Specialist, or Manager), and resume (PDF). Resume Processing**: The PDF resume is extracted into text using the Extract from File node. AI Evaluation**: Gemini-powered AI reviews the resume against the job role and generates: A score (0–10) A status (Accepted/Rejected) A personalized email (acceptance or rejection) Information Extraction**: The AI output is structured into fields: Score, Status, Mail Subject, and Mail Body. Email Sending**: The candidate automatically receives their personalized result via Gmail. Record Keeping**: All candidate details (Name, Job, Score, Status, Email, Email Status) are stored in Google Sheets for tracking. How to use Share the generated form link with applicants. When they submit, the system handles scoring and sends an email instantly. HR teams can review all results directly in Google Sheets. Requirements Google Gemini API key (for resume evaluation) Gmail account with OAuth2 (for sending acceptance/rejection emails) Google Sheets (for candidate tracking) n8n form node (for application collection) Customising this workflow Add more job positions to the form dropdown. Adjust the acceptance threshold (e.g., accept at 8/10 instead of 7/10). Modify email templates for a more formal or branded tone. Extend the pipeline to trigger a Calendly invite for accepted candidates. Integrate with Slack or Teams to notify HR when a candidate is accepted.

This workflow streamlines how employees request equipment/items and how those requests reach the Procurement team. It validates the employee by enrollment number, detects whether a manager exists, and then either requests approval (if the requester has a manager) or routes the request directly to Procurement (if the requester is a manager). All messages are written in a professional tone using an LLM, and emails are sent via Gmail with a built-in approve/deny step for managers. Who’s it for HR/IT/Operations teams that handle equipment requests, need a lightweight approval flow, and want clean, professional emails without manual drafting. How it works Employee submits their enrollment number. Workflow fetches employee (and manager, if any). Employee describes the requested item(s). If a manager exists → an approval email (double opt-in) is sent to the manager. Approved → notify employee and forward a polished request to Procurement. Denied → notify employee. If the requester is a manager → skip approval and send directly to Procurement. End pages confirm the outcome. Requirements MySQL (or compatible DB) with an employees table (id, name, email, enrollment_number, manager). Gmail credentials (OAuth) in n8n. LLM provider (OpenAI or compatible) for message polishing. How to customize Replace the Procurement NoOp nodes with your email, helpdesk, or ERP integration. Adjust email copy and tone in the LLM prompt nodes. Add tracking IDs, SLA text, or CCs for auditing. Style the forms with your brand (CSS blocks provided).

This n8n workflow automatically fetches all interview events scheduled for today from a specified Google Calendar and sends a personalized email to each interviewer. The email contains a formatted HTML table listing their interview details, including meeting times, Google Meet links, and attendees with their response status. This ensures all interviewers are informed daily at 8:00 AM IST without any manual coordination. Who’s it for Interviewers** who want a quick morning packet instead of opening multiple calendar tabs. Recruiters/coordinators** who need a reliable, zero‑friction daily brief for interviewers. Teams** that paste CV/notes links directly into calendar events (no file search required). How it works Cron triggers daily at 08:00 IST. Google Calendar reads today’s events from the Interviews calendar. A Code step parses each event to identify interviewers and extract candidate details, meeting link, and any CV: / Notes: links from the description and create a table to share via Gmail. A grouping step compiles a per‑interviewer list for the day. Email (Gmail) sends one digest to interviewer. How to set up Ensure all interviews are scheduled on the Google Calendar named Interviews and that interviewers are added as attendees. Add CV: <url> and Notes: <url> in the event description when available. Import the workflow and add credentials: Google Calendar (OAuth) SMTP/Gmail for sending the email digests Keep the default 08:00 IST schedule in the Cron node or adjust as needed. Requirements Google Workspace account with access to the Interviews calendar. Gmail sender account for digests (App Password if using 2FA). n8n instance (cloud or self‑hosted). Steps Trigger Schedule Node:** Schedule Trigger Purpose:* Starts the workflow daily at *8:00 AM**. Fetch Interview Events Node:** Google Calendar(Fetch Interview Events) Purpose:** Retrieves all events (interviews) from the configured calendar. Output:** Event details including summary, time, and organizer email. Group & Format Schedule Node:** HTML Table (JavaScript Code Node) Purpose:** Groups events by interviewer email and generates an HTML schedule table. Output:** Formatted fields: interviewer_email subject htmlContent Send Personalized Emails Node:** Gmail Purpose:** Sends the formatted interview schedule to each interviewer’s email address. Send To:** Dynamically set using ={{ $json.interviewer_email }} Subject:** "Interview Reminder" Body:** ={{ $json.htmlContent }} (HTML) How to customize the workflow Parsing rules:** If your event titles follow a pattern (e.g., Onsite – {Candidate} – {Role}), tweak the regex in the Code node. Attendee logic:** Refine how interviewers are detected (e.g., filter only accepted responses, or include tentative). Digest format:** Adjust table columns/order, or add role/team labels from the title. Schedule:** Duplicate the Cron for regional time zones or add a midday refresh. Add-ons to level up the Workflow with additional nodes Reminder pings:** Add 10‑minute pre‑interview reminders via Email or Slack/Teams. Conflict alerts:** Flag if an interviewer is double‑booked within a 15‑minute window. Feedback follow‑up:** After the scheduled time, DM or email a standardized feedback form link. Drive search (optional):** If you later want auto‑attach CVs, add a Google Drive search step (by candidate name) in a designated folder. Common troubleshooting points No events found:* Confirm the calendar name is *Interviews* and that events exist *today**. Missing links:** If CV/notes links aren’t in the email, add CV:/Notes: links to the event description. Email not sent:** Verify SMTP credentials, from‑address permissions, and any sending limits. Time mismatch:* Confirm workflow timezone and Calendar times are set to *Asia/Kolkata** (or adjust). A short note If you need help tailoring the parsing rules, adjusting the schedule or troubleshooting any step, feel free to reach out we will happy to help.

This workflow automates news aggregation and summarization by fetching relevant articles from Gnews.io and using AI to create concise, professional summaries delivered via Slack What Makes This Different: Real-Time News Aggregation** - Fetches current news articles from Gnews.io API based on user-specified topics AI-Powered Summarization** - Uses GPT-4.1 to intelligently select and summarize the most relevant articles Professional Formatting** - Generates clean, readable summaries with proper dates and article links Form-Based Input** - Simple web form interface for topic specification Automated Delivery** - Sends summarized news directly to Slack for immediate consumption Intelligent Filtering** - AI selects the top 15 most relevant articles from search results Key Benefits of Automated News Summarization: Time Efficiency** - Transforms hours of news reading into minutes of focused summaries Comprehensive Coverage** - AI ensures all important financial and business developments are captured Professional Quality** - Generates publication-ready summaries with proper formatting Real-Time Updates** - Always delivers the latest news on any topic Centralized Access** - All news summaries delivered to one Slack channel Customizable Topics** - Search for news on any subject matter Who's it for This template is designed for business professionals, financial analysts, content creators, journalists, and anyone who needs to stay updated on specific topics without spending hours reading through multiple news sources. It's perfect for professionals who want to stay informed about industry developments, market trends, or any specific subject matter while maintaining productivity. How it works / What it does This workflow creates an automated news summarization system that transforms topic searches into professional news summaries. The system: Receives topic input through a simple web form interface Fetches news articles from Gnews.io API based on the specified topic Maps article data to prepare for AI processing Uses AI to select the 15 most relevant articles related to financial advancements, tools, research, and applications Generates professional summaries with clear, readable language and proper formatting Includes article links and current date for complete context Delivers summaries via Slack notification for immediate review Key Innovation: Intelligent News Curation - Unlike basic news aggregators, this system uses AI to intelligently filter and summarize only the most relevant articles, saving time while ensuring comprehensive coverage of important developments. How to set up 1. Configure Form Trigger Set up n8n form trigger with "topic" field (required) Configure form title as "News Search" Test form submission functionality Ensure proper data flow to subsequent nodes 2. Configure Gnews.io API Get your API key**: Sign up at gnews.io and obtain your API key from the dashboard Add API key to workflow**: In the "Get GNews articles" HTTP Request node, replace "ADD YOUR API HERE" with your actual Gnews.io API key Example configuration**: { "q": "{{ $json.topic }}", "lang": "en", "apikey": "your-actual-api-key-here" } Configure search parameters**: Ensure language is set to "en" for English articles Test API connectivity**: Run a test execution to verify news articles are returned correctly 3. Configure OpenAI API Set up OpenAI API credentials in n8n Ensure proper API access and quota limits Configure the GPT-4.1 Model node for AI summarization Test AI model connectivity and response quality 4. Configure Slack Integration Set up Slack API credentials in n8n Configure Slack channel ID for news delivery Set up proper message formatting for news summaries Test Slack notification delivery 5. Test the Complete Workflow Submit test form with sample topic (e.g., "artificial intelligence") Verify Gnews.io returns relevant articles Check that AI generates appropriate news summaries Confirm Slack notification contains formatted news summary Requirements n8n instance** with form trigger and HTTP request capabilities OpenAI API** access for AI-powered news summarization Gnews.io API** credentials for news article fetching Slack workspace** with API access for news delivery Active internet connection** for real-time API interactions How to customize the workflow Modify News Search Parameters Adjust the number of articles to summarize (currently set to 15) Add more search depth options or date ranges Implement language filtering for different regions Add news source filtering or preferences Enhance AI Capabilities Customize AI prompts for specific industries or niches Add support for multiple languages Implement different summary styles (brief, detailed, bullet points) Add content quality scoring and relevance filtering Expand News Sources Integrate with additional news APIs (NewsAPI, Bing News, etc.) Add support for RSS feed integration Implement trending topic detection Add competitor news monitoring Improve News Delivery Add email notifications alongside Slack Implement news scheduling capabilities Add news approval workflows Implement news performance tracking Business Features Add news analytics and engagement metrics Implement A/B testing for different summary formats Add news calendar integration Implement team collaboration features for news sharing Key Features Real-time news aggregation** - Fetches current news articles from Gnews.io API AI-powered summarization** - Uses GPT-4.1 to intelligently select and summarize relevant articles Professional formatting** - Generates clean, readable summaries with proper dates and links Form-based input** - Simple interface for topic specification Automated workflow** - End-to-end automation from topic input to news delivery Intelligent filtering** - AI selects the most relevant articles from search results Slack integration** - Centralized delivery of news summaries Scalable news processing** - Handles multiple topic searches efficiently Technical Architecture Highlights AI-Powered News Summarization OpenAI GPT-4.1 integration** - Advanced language model for intelligent news summarization Content filtering** - AI selects the 15 most relevant articles from search results Professional formatting** - Generates clean, readable summaries with proper structure Quality consistency** - Maintains professional tone and formatting standards News API Integration Gnews.io API** - Comprehensive news search with article extraction Real-time data** - Access to current, relevant news articles Content mapping** - Efficiently processes article data for AI analysis Search optimization** - Efficient query construction for better news results Form-Based Input System n8n form trigger** - Simple, user-friendly input interface for topic specification Data validation** - Ensures required topic field is properly filled Parameter extraction** - Converts form data to search parameters Error handling** - Graceful handling of incomplete or invalid inputs News Delivery System Slack integration** - Professional news summary delivery Formatted output** - Clean, readable summaries with dates and article links Centralized access** - All news summaries delivered to one location Real-time delivery** - Immediate notification of news summaries Use Cases Financial analysts** needing to stay updated on market developments and industry news Business professionals** requiring daily news summaries on specific topics Content creators** needing current information for articles and social media posts Journalists** requiring comprehensive news coverage on specific subjects Research teams** needing to track developments in their field of expertise Investment professionals** requiring real-time updates on market trends Academic researchers** needing to stay informed about industry developments Corporate communications** teams requiring news monitoring for crisis management Business Value Time Efficiency** - Reduces news reading time from hours to minutes Cost Savings** - Eliminates need for manual news monitoring and summarization Comprehensive Coverage** - AI ensures all important developments are captured Scalability** - Handles unlimited topic searches without additional resources Quality Assurance** - AI ensures professional-quality summaries every time Real-Time Updates** - Always delivers the latest news on any topic Research Integration** - Incorporates current information for relevant, timely insights This template revolutionizes news consumption by combining AI-powered summarization with real-time news aggregation, creating an automated system that delivers professional-quality news summaries on any topic from a simple form submission.

How it works This workflow automates the generation of ad-ready product images by combining product and influencer photos with AI styling. It runs on a scheduled trigger, fetches data from Google Sheets, and retrieves product and influencer images from Google Drive. The images are processed with OpenAI and OpenRouter to generate enhanced visuals, which are then saved back to Google Drive. Finally, the result is logged into Google Sheets with a ready-to-publish status. Step-by-step 1. Trigger & Data preparation Schedule Trigger** – Runs workflow automatically on a set schedule. Google Sheets (Get the Raw)** – Retrieves today’s product and model URLs. Google Drive (Download Product Image)** – Downloads the product image. Google Drive (Download Influencer Image)** – Downloads the influencer image. Extract from File (Binary → Base64)** – Converts both product and model images for AI processing. 2. AI analysis & image generation OpenAI (Analyze Image)** – Creates an ad-focused visual description (lighting, mood, styling). HTTP Request (OpenRouter Gemini)** – Generates an AI-enhanced image combining product + influencer. Code Node (Cleanup)** – Cleans base64 output to remove extra prefixes. Convert to File** – Transforms AI output into a proper image file. 3. Save & update Google Drive (Upload Image)** – Uploads generated ad image to target folder. Google Sheets (Append/Update Row)** – Stores the Drive link and updates publish status. Why use this? Automates the entire ad image creation process without manual design work. Ensures product visuals are consistent, styled, and ad-ready. Saves final creatives in Google Drive for easy access and sharing. Keeps campaign tracking organized by updating Google Sheets automatically. Scales daily ad production efficiently for multiple products or campaigns.