Automated product ad image creation with OpenAI, Gemini & Google Workspace
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.
Automated Product Ad Image Creation with AI and Google Workspace
This n8n workflow automates the creation of product advertisement images by leveraging AI (OpenAI) to generate image prompts and then using a hypothetical image generation service (via HTTP Request) to create the images. The process is triggered on a schedule, reads product data from Google Sheets, and stores the generated images in Google Drive.
Description
This workflow streamlines the marketing process for products by automating the generation of unique and engaging ad images. It eliminates manual effort in crafting image prompts and managing image assets, allowing businesses to scale their advertising efforts efficiently.
What it does
- Triggers on a Schedule: The workflow starts at predefined intervals (e.g., daily, weekly) to check for new product data.
- Reads Product Data from Google Sheets: It connects to a specified Google Sheet to fetch product information, such as product names, descriptions, and any other relevant details for ad creation.
- Generates Image Prompts with OpenAI: For each product, it uses OpenAI to generate creative and compelling image prompts based on the product data. This step ensures unique and contextually relevant image ideas.
- Creates Ad Images (via HTTP Request): It sends the generated image prompts to an external image generation service (simulated by an HTTP Request node). This service is expected to return the generated image data.
- Converts Image Data: The raw image data received from the image generation service is converted into a file format.
- Stores Images in Google Drive: The generated image files are then uploaded and stored in a designated folder within Google Drive for easy access and management.
- Extracts File Information: After storing, the workflow extracts relevant information about the newly created file in Google Drive.
- Processes File Data (Code Node): A Code node is used to perform any custom processing or manipulation of the file data, such as renaming, adding metadata, or preparing it for further use.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- Google Sheets Account: With access to the spreadsheet containing your product data.
- Google Drive Account: For storing the generated ad images.
- OpenAI API Key: For the OpenAI node to generate image prompts.
- Image Generation Service: An external API endpoint for an image generation service that accepts prompts and returns image data (configured in the HTTP Request node). This workflow currently uses a placeholder HTTP Request. You will need to replace this with your actual image generation service.
Setup/Usage
- Import the Workflow: Download the provided JSON and import it into your n8n instance.
- Configure Credentials:
- Set up your Google Sheets credential to access your product data spreadsheet.
- Set up your Google Drive credential to store the generated images.
- Configure your OpenAI credential with your API key.
- Customize Google Sheets Node (Node ID 18):
- Specify the Spreadsheet ID and Sheet Name where your product data is located.
- Ensure the "Read All Rows" operation is configured correctly to fetch all necessary product details.
- Customize OpenAI Node (Node ID 1250):
- Adjust the prompt for image generation to best suit your product data and desired ad image style. You might want to reference specific fields from your Google Sheets data (e.g.,
{{ $json.productName }}).
- Adjust the prompt for image generation to best suit your product data and desired ad image style. You might want to reference specific fields from your Google Sheets data (e.g.,
- Configure HTTP Request Node (Node ID 19):
- Crucially, replace the placeholder HTTP Request with your actual image generation service.
- Set the URL to your image generation API endpoint.
- Configure the Method (e.g., POST) and Headers (e.g., API key, Content-Type) as required by your image generation service.
- Map the Body to send the image prompt generated by the OpenAI node.
- Ensure the response type is correctly handled (e.g., binary data).
- Customize Convert to File Node (Node ID 1234):
- Ensure the "File Format" matches the expected output of your image generation service (e.g.,
Image (PNG)).
- Ensure the "File Format" matches the expected output of your image generation service (e.g.,
- Customize Google Drive Node (Node ID 58):
- Specify the Folder ID in Google Drive where you want to save the generated images.
- Configure the "File Name" to be dynamic, perhaps using product names or a timestamp to ensure uniqueness.
- Customize Code Node (Node ID 834):
- Modify the JavaScript code within this node to perform any specific data manipulation or formatting needed for your workflow.
- Set Schedule Trigger (Node ID 839):
- Adjust the schedule to your desired frequency (e.g., every day, once a week).
- Activate the Workflow: Once configured, activate the workflow to start automating your product ad image creation.
Related Templates
AI multi-agent executive team for entrepreneurs with Gemini, Perplexity and WhatsApp
This workflow is an AI-powered multi-agent system built for startup founders and small business owners who want to automate decision-making, accountability, research, and communication, all through WhatsApp. The “virtual executive team,” is designed to help small teams to work smarter. This workflow sends you market analysis, market and sales tips, It can also monitor what your competitors are doing using perplexity (Research agent) and help you stay a head, or make better decisions. And when you feeling stuck with your start-up accountability director is creative enough to break the barrier 🎯 Core Features 🧑💼 1. President (Super Agent) Acts as the main controller that coordinates all sub-agents. Routes messages, assigns tasks, and ensures workflow synchronization between the AI Directors. 📊 2. Sales & Marketing Director Uses SerpAPI to search for market opportunities, leads, and trends. Suggests marketing campaigns, keywords, or outreach ideas. Can analyze current engagement metrics to adjust content strategy. 🕵️♀️ 3. Business Research Director Powered by Perplexity AI for competitive and market analysis. Monitors competitor moves, social media engagement, and product changes. Provides concise insights to help the founder adapt and stay ahead. ⏰ 4. Accountability Director Keeps the founder and executive team on track. Sends motivational nudges, task reminders, and progress reports. Promotes consistency and discipline — key traits for early-stage success. 🗓️ 5. Executive Secretary Handles scheduling, email drafting, and reminders. Connects with Google Calendar, Gmail, and Sheets through OAuth. Automates follow-ups, meeting summaries, and notifications directly via WhatsApp. 💬 WhatsApp as the Main Interface Interact naturally with your AI team through WhatsApp Business API. All responses, updates, and summaries are delivered to your chat. Ideal for founders who want to manage operations on the go. ⚙️ How It Works Trigger: The workflow starts from a WhatsApp Trigger node (via Meta Developer Account). Routing: The President agent analyzes the incoming message and determines which Director should handle it. Processing: Marketing or sales queries go to the Sales & Marketing Director. Research questions are handled by the Business Research Director. Accountability tasks are assigned to the Accountability Director. Scheduling or communication requests are managed by the Secretary. Collaboration: Each sub-agent returns results to the President, who summarizes and sends the reply back via WhatsApp. Memory: Context is maintained between sessions, ensuring personalized and coherent communication. 🧩 Integrations Required Gemini API – for general intelligence and task reasoning Supabase- for RAG and postgres persistent memory Perplexity API – for business and competitor analysis SerpAPI – for market research and opportunity scouting Google OAuth – to connect Sheets, Calendar, and Gmail WhatsApp Business API – for message triggers and responses 🚀 Benefits Acts like a team of tireless employees available 24/7. Saves time by automating research, reminders, and communication. Enhances accountability and strategy consistency for founders. Keeps operations centralized in a simple WhatsApp interface. 🧰 Setup Steps Create API credentials for: WhatsApp (via Meta Developer Account) Gemini, Perplexity, and SerpAPI Google OAuth (Sheets, Calendar, Gmail) Create a supabase account at supabase Add the credentials in the corresponding n8n nodes. Customize the system prompts for each Director based on your startup’s needs. Activate and start interacting with your virtual executive team on WhatsApp. Use Case You are a small organisation or start-up that can not afford hiring; marketing department, research department and secretar office, then this workflow is for you 💡 Need Customization? Want to tailor it for your startup or integrate with CRM tools like Notion or HubSpot? You can easily extend the workflow or contact the creator for personalized support. Consider adjusting the system prompt to suite your business
🎓 How to transform unstructured email data into structured format with AI agent
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.
Send WooCommerce discount coupons to customers via WhatsApp using Rapiwa API
Who is this for? This workflow is ideal for WooCommerce store owners who want to automatically send promotional WhatsApp messages to their customers when new coupons are created. It’s designed for marketers and eCommerce managers looking to boost engagement, streamline coupon sharing, and track campaign performance effortlessly through Google Sheets. Overview This workflow listens for WooCommerce coupon creation events (coupon.created) and uses customer billing data to send promotional WhatsApp messages via the Rapiwa API. The flow formats the coupon data, cleans phone numbers, verifies WhatsApp registration with Rapiwa, sends the promotional message when verified, and logs each attempt to Google Sheets (separate sheets for verified/sent and unverified/not sent). What this Workflow Does Listens for new coupon creation events in WooCommerce via the WooCommerce Trigger node Retrieves all customer data from the WooCommerce store Processes customers in batches to control throughput Cleans and formats customer phone numbers for WhatsApp Verifies if phone numbers are valid WhatsApp accounts using Rapiwa API Sends personalized WhatsApp messages with coupon details to verified numbers Logs all activities to Google Sheets for tracking and analysis Handles both verified and unverified numbers appropriately Key Features Automated coupon distribution: Triggers when new coupons are created in WooCommerce Customer data retrieval: Fetches all customer information from WooCommerce Phone number validation: Verifies WhatsApp numbers before sending messages Personalized messaging: Includes customer name and coupon details in messages Dual logging system: Tracks both successful and failed message attempts Rate limiting: Uses batching and wait nodes to prevent API overload Data formatting: Structures coupon information for consistent messaging Google Sheet Column Structure A Google Sheet formatted like this ➤ sample The workflow uses a Google Sheet with the following columns to track coupon distribution: | name | number | email | address1 | couponCode | couponTitle | couponType | couponAmount | createDate | expireDate | validity | status | | ----------- | ------------- | --------------------------------------------------- | --------- | ---------- | -------------- | ---------- | ------------ | ------------------- | ------------------- | ---------- | -------- | | Abdul Mannan | 8801322827799 | contact@spagreen.net | mirpur-DOHS | 62dhryst | eid offer 2025 | percent | 20.00 | 2025-09-11 06:08:02 | 2025-09-15 00:00:00 | unverified | not sent | | Abdul Mannan | 8801322827799 | contact@spagreen.net | mirpur-DOHS | 62dhryst | eid offer 2025 | percent | 20.00 | 2025-09-11 06:08:02 | 2025-09-15 00:00:00 | verified | sent | Requirements n8n instance with the following nodes: WooCommerce Trigger, Code, SplitInBatches, HTTP Request, IF, Google Sheets, Wait WooCommerce store with API access Rapiwa account with API access for WhatsApp verification and messaging Google account with Sheets access Customer phone numbers in WooCommerce (stored in billing.phone field) Important Notes Phone Number Format: The workflow cleans phone numbers by removing all non-digit characters. Ensure your WooCommerce phone numbers are in a compatible format. API Rate Limits: Rapiwa and WooCommerce APIs have rate limits. Adjust batch sizes and wait times accordingly. Data Privacy: Ensure compliance with data protection regulations when sending marketing messages. Error Handling: The workflow logs unverified numbers but doesn't have extensive error handling. Consider adding error notifications for failed API calls. Message Content: The current message template references the first coupon only (coupons[0]). Adjust if you need to handle multiple coupons. Useful Links Dashboard: https://app.rapiwa.com Official Website: https://rapiwa.com Documentation: https://docs.rapiwa.com Support & Help WhatsApp: Chat on WhatsApp Discord: SpaGreen Community Facebook Group: SpaGreen Support Website: https://spagreen.net Developer Portfolio: Codecanyon SpaGreen