Google Drive workflows
1,381 results — 188 downloadable workflow files, 1,193 source-linked n8n references
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YouTube to MP3 Converter with RapidAPI - Upload to Drive & Email Link
📥 YouTube to MP3 Converter Workflow – Auto Upload to Google Drive & Email Link with RapidAPI This n8n workflow allows users to convert any YouTube video to MP3 using the YouTube To MP3 Fast API on RapidAPI. It handles the entire process end-to-end — from form input to automatic delivery via email with cloud storage. 🔁 How It Works 📝 User Form Input Users submit a YouTube URL and their email through a simple form. 🎬 MP3 Conversion The video URL is sent to the YouTube To MP3 Fast API on RapidAPI to process and convert into MP3 format. ⏳ Wait for Processing Introduces a short delay to ensure the file is ready for download. 📥 File Download The converted MP3 file is downloaded securely. ☁️ Google Drive Upload The MP3 is uploaded to Google Drive for cloud-based access and storage. 🔗 Share Permissions Permissions are updated to allow anyone with the link to access the MP3. 📧 Email Notification The final download link is emailed to the user. ✅ Benefits Completely Automated** – From input to email, everything runs without manual effort. Cloud Storage Integration** – Files are saved to your Google Drive for easy management. User-Friendly** – Simple interface for users to get their MP3
WGenerate & Upload Images with Image-to-Image GPT, Google Sheets & Drive
🖼️ Image-to-Image AI Generator from Google Sheets with Google Drive Upload ✅ Use Case Automatically generate AI images from prompts listed in a Google Sheet, upload the images to Google Drive, and log the result back into the sheet. Uses the image-to-image-gpt API for fast, customizable generation. 💡 Problem It Solves Manual image generation workflows are inefficient and error-prone. Creative and content teams often have to: Manually paste prompts into image generation tools Save images locally Upload to Google Drive Paste the link back into tracking spreadsheets This automation removes all that friction—turning one spreadsheet into a complete image creation pipeline. 🌟 Benefits 🔁 Fully automated image generation 📤 Direct uploads to Google Drive 🧾 Image links and timestamps logged in Google Sheets ⚠️ Built-in error logging for API failures 🧩 Modular and easily extensible 📊 Keeps a historical log of successes and errors 🧩 Workflow Overview | Node | Description | |------|-------------| | 1. Manual Trigger | Starts the workflow when executed manually | | 2. Google Sheets2 | Reads all rows from the input Google Sheet | | 3. Loop Over Items | Processes one row (prompt) at a tim
AI-Powered Proposal Automation Using Google Slides
When you fill out the form with business challenges and requirements GPT-4 analyzes the input and generates a customized proposal using your template System automatically creates a Google Slides presentation with personalized content Professional proposal email is sent directly to the prospect with the presentation link Set up steps Estimated time: 15-20 minutes Connect your OpenAI API key for GPT-4 access Link your Google account for Slides and Gmail integration Create your proposal template in Google Slides with placeholder variables Customize the AI prompt and email template with your branding Test with sample data and activate the workflow
AI Agent To Chat With Files In Supabase Storage and Google Drive
Video Guide I prepared a detailed guide that illustrates the entire process of building an AI agent using Supabase and Google Drive within N8N workflows. Youtube Link Who is this for? This workflow is designed for developers, data scientists, and business users who wish to automate document management and enable AI-powered interactions over their stored files. It's especially beneficial for scenarios where users need to process, analyze, and retrieve information from uploaded documents rapidly. What problem does this workflow solve? Managing files across multiple platforms often involves tedious manual processes. This workflow facilitates automated file handling, making it easier for users to upload, parse, and interact with documents through an AI agent. It reduces redundancy and enhances the efficiency of data retrieval and management tasks. What this workflow does This workflow integrates Supabase storage with Google Drive and employs an AI agent to manage files effectively. The agent can: Upload files to Supabase storage and activate processes based on file changes in Google Drive. Retrieve and parse documents, converting them into a structured format for easy querying. Utilize
AI-Powered RAG Q&A Chatbot with OpenAI, Google Sheets, Glide & Supabase
Automate AI-Powered RAG System with Contextual Q&A, Google Sheets Integration, and Glide Frontend—Powered by n8n, OpenAI, Supabase, and Google Apps Script. Tools & Services Used Glide (Frontend for user interactions) Google Sheets (Stores questions and answers) Google Apps Script (Forms + media upload handling) OpenAI (Embeddings + GPT-4 to rank and generate answers) Supabase (Optional for image hosting) n8n (Automation logic and backend glue) Workflow Overview This automation performs the following steps: Trigger: Webhook receives a user question from a Glide frontend. Fetch Data: Retrieves Q&A entries (and optionally, image URLs) from a connected Google Sheet. Rank Relevance: OpenAI Embeddings rank the relevance of stored questions to the new input. Top matches are passed to a GPT-4 prompt for answer generation. Generate Answer: GPT-4 creates a contextual answer using the best match. Optional: Includes media URL if attached to the matched answer. Response: Sends the formatted answer back to Glide frontend (text + optional image). Prerequisites Active accounts and API keys for: OpenAI (API key with GPT-4 and embedding access) Google Sheets (linked via Service Account or OAuth2 cre
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Extract and Organize Colombian Invoices with Gmail, GPT-4o & Google Workspace
🧾 Personal Invoice Processor This N8N workflow automates the extraction and organization of personal invoices in Colombia received via Gmail. It includes the following key steps: 🔁 Flow Summary Email Trigger Polls Gmail every 30 minutes for emails with .zip attachments (assumed to contain invoices). Expects ZIP file following DIAN standards. ZIP File Handling Extracts all files. Filters only PDF and XML files for processing. Data Extraction & Processing Uses LangChain Agent + OpenAI (GPT-4o-mini) to extract: Tipo de documento (Factura / Nota Crédito) Número de factura Fecha de emisión (YYYY-MM-DD) NIT emisor y receptor (sin dígito de verificación) Razón social del emisor Subtotal, IVA, Total CUFE Resumen de compra (max 20 words, formatted sentence) Validation Ensures Total = Subtotal + IVA using a calculator node. Storage Uploads the original PDF to Google Drive. Renames the file to: YYYY-MM-DD-NUMERO_FACTURA.pdf. Inserts or updates invoice details in Google Sheets using a unique Key (NIT_Emisor + Numero_Factura) to prevent duplication. > ⚙️ Designed for personal use with minimal latency tolerance and high automation reliability.
Automate YouTube Uploads with AI-Generated Metadata from Google Drive
👥 Who Is This For? Content creators, marketing teams, and channel managers who want a simple, hands‑off solution to upload videos and automatically generate optimized metadata from video transcripts. 🛠 What Problem Does This Solve? Manual video uploads with proper metadata creation is time‑consuming and repetitive. This workflow fully automates: Monitoring a specific Google Drive folder for new video uploads Seamless YouTube upload processing Transcript extraction for context understanding AI‑powered generation of titles, descriptions, and tags Metadata application to uploaded videos without manual intervention 🔄 Node‑by‑Node Breakdown | Step | Node Purpose | |------|---------------------------------------------------------------------| | 1 | New Video? (Trigger) – Monitors specified Google Drive folder | | 2 | Download New Video – Retrieves the video file from Google Drive | | 3 | Upload to YouTube – Uploads the video to YouTube with initial settings | | 4 | Get Transcript – Extracts transcript from the uploaded video | | 5 | Adjust Transcript Format – Formats raw transcript for processing | | 6 | Create Description – Generates SEO‑optimized description | | 7 | YT Tags (Message
WConvert Images to 3D Models with Fal AI Trellis and Store in Google Drive
This workflow allows users to convert a 2D image into a 3D model by integrating multiple AI and web services. The process begins with a user uploading or providing an image URL, which is then sent to a generative AI model capable of interpreting the content and generating a 3D representation in .glb format. The model is then stored and a download link is returned to the user. Main Steps Trigger Node: Initiates the workflow either via HTTP request, webhook, or manual execution. Image Upload or Input: The image is acquired via direct upload or URL input. API Integration: The image is sent to a 3D generation API (e.g., a service like Kaedim, Luma Labs, or a custom AI model). Model Generation: The external API processes the image and creates a 3D model. File Storage: The resulting 3D model is stored in cloud storage (e.g., S3, Google Drive, or a local server). Response to User: A download link for the 3D model is returned to the user via the same communication channel (HTTP response, email, or chat). Advantages Automation**: Eliminates the need for manual 3D modeling, saving time for artists, developers, and designers. AI-Powered**: Leverages AI to generate realistic and usable 3D mode
Create Customized Google Slides Presentations from CSV Data for Cold Outreach 🚀
👥 Who Is This For? Sales and marketing teams seeking efficient, hands‑free generation of personalized slide decks for each prospect from CSV lead lists. 🛠 What Problem Does This Solve? Manually editing presentation decks for large lead lists is slow and error‑prone. This workflow fully automates: Importing and parsing CSV lead data Logging leads and outputs in Google Sheets Duplicating a master Slides template per lead Injecting lead‑specific variables into slides 🔄 Node‑by‑Node Breakdown | Step | Node | Purpose | | ---- | ---------------------------------------- | -------------------------------------------------------- | | 1 | New Leads Arrived | Detect new CSV uploads in Drive | | 2 | File Type? | Filter for .csv files only | | 3 | Download by ID | Download the CSV content | | 4 | Create new Sheet | Create a Google Sheet to record lead data | | 5 | Combine Empty New Document with CSV Data | Structure each lead record for slide creation | | 6 | Merge Data for new Lead Document | Map template placeholders to lead values | | 7 | Get all Leads | Retrieve sheet rows to iterate through each lead | | 8 | MoveToLeadListFolder | Move processed CSV to an archive folder | | 9 | Copy Sli
Build a Document QA System with RAG using Milvus, Cohere, and OpenAI for Google Drive
Template Description This template creates a powerful Retrieval Augmented Generation (RAG) AI agent workflow in n8n. It monitors a specified Google Drive folder for new PDF files, extracts their content, generates vector embeddings using Cohere, and stores these embeddings in a Milvus vector database. Subsequently, it enables a RAG agent that can retrieve relevant information from the Milvus database based on user queries and generate responses using OpenAI, enhanced by the retrieved context. Functionality The workflow automates the process of ingesting documents into a vector database for use with a RAG system. Watch New Files: Triggers when a new file (specifically targeting PDFs) is added to a designated Google Drive folder. Download New: Downloads the newly added file from Google Drive. Extract from File: Extracts text content from the downloaded PDF file. Default Data Loader / Set Chunks: Processes the extracted text, splitting it into manageable chunks for embedding. Embeddings Cohere: Generates vector embeddings for each text chunk using the Cohere API. Insert into Milvus: Inserts the generated vector embeddings and associated metadata into a Milvus vector database. When cha
Automated Resume Screening & Ranking with Llama 4 AI and Google Workspace
Target Audience You will find this workflow or template perfect if you are in the internal talent acquisition teams, recruitment agencies, HR professionals, and hiring managers seeking to bulk automate the initial screening of CVs and resumes. Eg. Automatically get result of candidate who has been shortlisted/rejected with its rationale and score automatically. By eliminating manual evaluation and screening, you get smart AI-Agent helping you to have standardized efficient, and scalable solution for handling large volumes of applications. With bulk automation, you can focus strategic decision-making rather than tedious screening tasks, ensuring a faster, more accurate, and fair hiring process. Key focus This workflow focusses on having a more organized file-folder management, trackable candidate cv, maintainable job description, autonomous ai-agent. Organized Folder-File Structure – CVs are automatically categorized based on their status, ensuring a structured workflow and easy retrieval Candidate Tracker – A real-time tracking system records the state of each CV, allowing recruiters to monitor the shortlisted, rejected, or KIV (Keep in View) candidates. AI Agent for Decision Autom
WUpload & Rename Videos to Google Drive via Apps Script from URL
📄 Google Script Workflow: Upload File from URL to Google Drive (via n8n) 🔧 Purpose: This lightweight Google Apps Script acts as a server endpoint that receives a file URL (from n8n), downloads the file, uploads it to your specified Google Drive folder, and responds with the file’s metadata (like Drive file ID and URL). This is useful for large video/audio files that n8n cannot handle directly via HTTP Download nodes. 🚀 Setup Steps: 1. Create a New Script Project Go to https://script.google.com Click “New Project” Rename the project to something like: DriveUploader 2. Paste the Script Code Replace the default Code.gs content with the following (your custom script): function doPost(e) { const SECRET_KEY = 'your-strong-secret-here'; // Set your secret key here try { const data = JSON.parse(e.postData.contents); // 🔒 Check for correct secret key if (!data.secret || data.secret !== SECRET_KEY) { return ContentService.createTextOutput("Unauthorized") .setMimeType(ContentService.MimeType.TEXT); } const videoUrl = data.videoUrl; const folderId = 'YOUR_FOLDER_ID_HERE'; // Replace with your target folder ID const folder = DriveApp.getFolderById(folderId); const response = UrlFetchApp.fet
Optimize Amazon Ads with GPT-4o for Bid, Budget & Keyword Recommendations
Overview This template is designed for Amazon sellers and advertisers who want to automate their campaign performance analysis and bidding strategy. It solves the common challenge of manually reviewing Sponsored Products reports and guessing how to adjust keywords, placements, and budgets. By combining Amazon Advertising reports with OpenAI's GPT-4o, this workflow delivers real-time, personalized optimization instructions — automatically. Features 📥 Automatically downloads Sponsored Products reports from Google Drive 🧠 Uses AI to analyze campaign, keyword, placement, targeting, and budget performance 📊 Supports both .csv and .xlsx report formats 🔁 Handles multiple ASINs and scales easily across ad accounts 📧 Sends structured optimization recommendations to your inbox via Gmail 🗂 Built-in logic to normalize filenames and correctly map reports 🧹 Includes error handling and formatting cleanup for AI-ready input Requirements To use this workflow, you’ll need: An Amazon Ads account with access to Sponsored Products reports A Google Drive folder where Amazon Ads reports are delivered (manually or via Gmail automation) A Gmail account (for sending summaries) An OpenAI API key with
Automated Workflow Backup System with Google Drive, Gmail and Discord Alerts'
How it works This workflow automates the backup of all your n8n workflows to a specified Google Drive folder. It operates in two main phases: Orchestration (Scheduled Task): The workflow is initiated by a Schedule Trigger (e.g., daily at 1:30 AM by default). It then uses an n8n API Node to fetch a list of all existing workflows in your n8n instance. A Loop Over Items node processes each fetched workflow individually. For every workflow in the list, an Execute Workflow node calls the "worker" part of this same workflow, passing the individual workflow's data. Individual Workflow Backup (Worker Task): This part is triggered by the When Executed by Another Workflow node (called by the orchestrator part). It first retrieves the passed workflow data. A Parameters node defines the target Google Drive directory. The Get Google Drive File Data node searches the specified Google Drive folder to see if a backup file for the current workflow (named as WorkflowName_WorkflowID.json) already exists. An IF Node (ifDriveEmpty) checks the result: If a backup file exists, the workflow data is converted to a binary JSON file using a Code Node, and then the existing file on Google Drive is updated (Ba
Generate & Email Personalized Certificates from Google Forms with Score Threshold
Description This workflow automatically generates personalized certificates in Google Slides and emails them to respondents only if they meet a minimum score threshold, using data submitted via Google Forms (stored in Google Sheets). Ideal for: Online courses Quizzes and workshops Event participation certificates Sheet Requirements Your connected Google Sheet (from the Google Form) must contain: Full Name – The name to appear on the certificate. Email – Recipient’s email address. Score – The test/quiz score used for threshold logic. Setup Instructions Connect Google Sheets – Make sure your Form responses are linked to a Sheet with the columns mentioned above. Set Score Threshold – Modify the If node to your desired minimum score (e.g., >= 80). Customize Certificate Template – Use a Google Slides file with text placeholders like {{Full Name}}. Connect Gmail & Google Drive – For sending emails and saving generated certificates. Update File IDs – Replace any placeholder Slide and Drive file IDs with your own. Services Used Google Sheets (Form responses) Google Slides (Certificate template) Google Drive (Storage) Gmail (Email delivery) Troubleshooting Issue: "Cannot read property 'S
Resume Screening & Behavioral Interviews with Gemini, Elevenlabs, & Notion ATS
Description Candidate Engagement | Resume Screening | AI Voice Interviews | Applicant Insights This intelligent n8n workflow automates the process of extracting and scoring resumes received through a company career page, populating a Notion database with AI insights where the recruiter or hiring manager can automatically invite the applicant to an instant interview with an Elevenlabs AI voice agent. After the agent conducts the behavior-based interview, the workflow scores the overall interview against customizable evaluation criteria and updates the Notion database with AI insights about the applicant. AI Powered Resume Screening & Voice AI that interviews like a Recruiter! AI Insights in Notion dashboard Who is this for? HR teams, recruiters, and talent acquisition professionals This workflow is ideal for HR teams, recruiters, and talent acquisition professionals looking for a foundational, extensible framework to automate early stage recruiting. Whether you're exploring AI for the first time or scaling automation across your hiring process, this template provides a base for screening, interviewing, and tracking candidates—powered entirely by n8n, Elevenlabs, Notion, and LLM inte
Extract & Classify Invoices & Receipts with Gmail, OpenAI and Google Drive
Who is it for? Anyone who wants to automatically aggregate their invoices or receipts. Main beneficiaries: small business owners and freelancers. How it works Creates a folder in Google Drive for uploading invoices and receipts. Responds (Webhook response) with URL to the created folder. Gets all emails with attachments from a Gmail mailbox. (Optional) Filters emails, e.g. exclude emails sent to specific address. Filters only PDF attachments. Classifies all PDF attachment contents with an AI model (is it a receipt or an invoice?). Uploads receipts and invoices to the created Google Drive folder and optionally sends an email with the attachments to, e.g., your accountant. Pre-conditions/Requirements Gmail and Google Drive accounts A Google Cloud OAuth 2.0 Client ID or a service account with Google Drive and Gmail APIs enabled OpenAI API account and API key Set up steps Provide credentials for the nodes: Gmail, Google Drive, OpenAI. Configure parameters in the "Configure" node. Most importantly: "sendInvoicesTo" for the email address where invoices/receipts should be sent. It uses a Webhook node trigger. It expects a body with a schema such as: { "name": "getInvoicesAndReceiptsFromEm
WGenerate Images with GPT-image-1 and Store in Google Drive with Cost Tracking
How it works Receive a chat input as an image prompt. Call OpenAI's gpt-image-1 API to generate an image. Split the returned images and process them one by one. Upload each generated image to Google Drive. Save image links and thumbnails to a Google Sheets document. Record token usage and estimated cost into a separate sheet. Set up steps Connect your OpenAI API credentials for image generation. Connect your Google Drive and Google Sheets accounts. Set the destination folder in Google Drive. Set the target Google Sheet and specify the correct sheet tabs. The setup usually takes around 5-10 minutes. Detailed field mappings are already pre-configured inside the workflow. Additional tips and instructions are included as sticky notes inside the workflow. Google Sheet copy url Copy Sheet Link
Create Google Drive Folders by Path
This workflow creates nested Google Drive folders from a path string (like Projects/Clients/Reports). It automatically handles the necessary folder lookups and creation steps required by Google Drive, then outputs the final folder's ID for immediate use. How it works This workflow streamlines the creation of nested folders in Google Drive: Input: Provide a root_folder_id and a path (e.g., Projects/Clients/Reports) as input. Path Parsing: The workflow splits the path into individual folder names (based on the / separator) Iterative Check & Create: Loops through each part of your path: Searches within the current parent folder (starting with the root_folder_id) for a subfolder matching the name. If found: Retrieves the existing folder's ID to use as the parent for the next iteration. If not found: Creates a new folder with that name inside the current parent folder and uses the new folder's ID as the parent for the next iteration. Output: Returns the Google Drive Folder ID of the very last folder in the specified path (e.g., the ID for Reports in the example above). This ID can then be directly used in subsequent n8n nodes to upload files, create documents, or perform other actions w
WAutomated Generation of AI Advertising Photos for Product Marketing
How it works This workflow automates the transformation of standard product images into professional product photography featuring human models It uses AI to analyze product images, create tailored photography prompts, and generate high-quality enhanced versions Set up steps You'll need an OpenAI API key and access to gpt-image-1 (verify your organization) Set up a Google Sheets spreadsheet with columns: Image-URL, Prompt, Output Create a Google Drive folder to store the generated images Requirements: OpenAI API access (for image generation and analysis) Google Sheets and Google Drive accounts Basic product images (URLs) as input The spreadsheet must contain a column named "Image-URL" with links to the product images This workflow automatically: Reads product image URLs from your Google Sheet Downloads the images for processing Analyzes each image to understand what product it contains Creates specialized photography prompts ensuring each product is shown with a human model Generates professional product photography using OpenAI's image generation capabilities Uploads results to Google Drive and updates your spreadsheet with links Extra: You can also use the included simple image g
Build a Chatbot, Voice and Phone Agent with Voiceflow, Google Calendar and RAG
Voiceflow is a no-code platform that allows you to design, prototype, and deploy conversational assistants across multiple channels—such as chat, voice, and phone—with advanced logic and natural language understanding. It supports integration with APIs, webhooks, and even tools like Twilio for phone agents. It's perfect for building customer support agents, voice bots, or intelligent assistants. This workflow connects n8n and Voiceflow with tools like Google Calendar, Qdrant (vector database), OpenAI, and an order tracking API to power a smart, multi-channel conversational agent. There are 3 main webhook endpoints in n8n that Voiceflow interacts with: n8n_order – receives user input related to order tracking, queries an API, and responds with tracking status. n8n_appointment – processes appointment booking, reformats date input using OpenAI, and creates a Google Calendar event. n8n_rag – handles general product/service questions using a RAG (Retrieval-Augmented Generation) system backed by: Google Drive document ingestion, Qdrant vector store for search, and OpenAI models for context-based answers. Each webhook is connected to a corresponding "Capture" block inside Voiceflow, which
📥 Transform Google Drive Documents into Vector Embeddings
Automatically convert documents from Google Drive into vector embeddings using OpenAI, LangChain, and PGVector — fully automated through n8n. ⚙️ What It Does This workflow monitors a Google Drive folder for new files, supports multiple file types (PDF, TXT, JSON), and processes them into vector embeddings using OpenAI’s text-embedding-3-small model. These embeddings are stored in a Postgres database using the PGVector extension, making them query-ready for semantic search or RAG-based AI agents. After successful processing, files are moved to a separate “vectorized” folder to avoid duplication. 💡 Use Cases Powering Retrieval-Augmented Generation (RAG) AI agents Semantic search across private documents AI assistant knowledge ingestion Automated document pipelines for indexing or classification 🧠 Workflow Highlights Trigger Options:** Manual or Scheduled (3 AM daily by default) Supported File Types:** PDF, TXT, JSON Embedding Stack:** LangChain Text Splitter, OpenAI Embeddings, PGVector Deduplication:** Files are moved after processing License:** CC BY-SA 4.0 Author:** AlexK1919 🛠 What You’ll Need Google Drive OAuth2** credentials (connected to Search Folder, Download File, and Mo
Build your own Google Drive MCP server
This n8n demonstrates how to build a simple Google Drive MCP server to search and get contents of files from Google Drive. This MCP example is based off an official MCP reference implementation which can be found here -https://github.com/modelcontextprotocol/servers/tree/main/src/gdrive How it works A MCP server trigger is used and connected to 1x Google Drive tool and 1x Custom Workflow tool. The Google Drive tool is set to perform a search on files within our Google Drive folder. The Custom Workflow tool downloads target files found in our drive and converts the binaries to their text representation. Eg. PDFs have only their text contents extracted and returned to the MCP client. How to use This Google Drive MCP server allows any compatible MCP client to manage a person or shared Google Drive. Simple select a drive or for better control, specify a folder within the drive to scope the operations to. Connect your MCP client by following the n8n guidelines here - https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.mcptrigger/#integrating-with-claude-desktop Try the following queries in your MCP client: "Please help me search for last month's expense reports." "Wh
Automated Research Report Generation with AI, Wiki, Search & Gmail/Telegram
Automated Research Report Generation with OpenAI, Wikipedia, Google Search, Gmail/Telegram and PDF Output Description What Problem Does This Solve? 🛠️ This workflow automates the process of generating professional research reports for researchers, students, and professionals. It eliminates manual research and report formatting by aggregating data, generating content with AI, and delivering the report as a PDF via Gmail or Telegram. Target audience: Researchers, students, educators, and professionals needing quick, formatted research reports. What Does It Do? 🌟 Aggregates research data from Wikipedia, Google Search, and SerpApi. Refines user queries and generates structured content using OpenAI. Converts the content into a professional HTML report, then to PDF. Sends the PDF report via Gmail or Telegram. Key Features 📋 Real-time data aggregation from multiple sources. AI-driven content generation with OpenAI. Automated HTML-to-PDF conversion for professional reports. Flexible delivery via Gmail or Telegram. Error handling for robust execution. Setup Instructions Prerequisites ⚙️ n8n Instance**: Self-hosted or cloud n8n instance. API Credentials**: OpenAI API: API key with GPT mod