Visual regression testing with Apify and AI Vision Model
This n8n workflow is a proof-of-concept template exploring how we might work with multimodal LLMs and their multi-image analysis capabilities. In this demo, we compare 2 screenshots of a webpage taken at different timestamps and pass both to our multimodal LLM for a visual comparison of differences. Handling multiple binary inputs (ie. images) in an AI request is supported by n8n's basic LLM node. How it works This template is intended to run as 2 parts: first to generate the base screenshots and next to run the visual regression test which captures fresh screenshots. Starting with a list of webpages captured in a Google sheet, base screenshots are captured for each using a external web scraping service called Apify.com (I prefer Apify but feel free to use whichever web scraping service available to you) These base screenshots are uploaded to Google Drive and will be referenced later when we run our testing. Phase 2 of the workflow, we'll use a scheduled trigger to fire sometime in the future which will reuse our web scraping service to generate fresh screenshots of our desired webpages. Next, re-download our base screenshots in parallel and with both old and new captures, we'll pass these to our LLM node. In the LLM node's options, we'll define 2 "user message" inputs with the type of binary (data) for our images. Finally, we'll prompt our LLM with our testing criteria and capture the regressions detected. Note, results will vary depending on which LLM you use. A final report can be generated using the LLM's output and is uploaded to Linear. Requirements Apify.com API key for web screenshotting service Google Drive and Sheets access to store list of webpages and captures Customising this workflow Have your own preferred web screenshotting service? Feel free to swap out Apify with your service of choice. If the web screenshot is too large, it may prove difficult for the LLM to spot differences with precision. Try splitting up captures into smaller images instead.
By JimleukGenerate cheap viral AI videos to TikTok with Google Veo3 fast and Postiz
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automates the entire process of generating short AI videos using Google Veo3 Fast, enhancing them with SEO-optimized titles, and uploading them directly to TikTok via Postiz, all triggered from a central Google Sheet. This setup ensures a seamless pipeline from video creation to TikTok upload, with minimal manual intervention. --- Benefits Full automation from prompt input to social media publishing. Cheaper video generation using Veo3 Fast vs traditional AI video tools. Centralized management through Google Sheets – no coding required for end users. SEO-enhanced titles with GPT-4o to boost engagement. Scheduled or manual triggering, perfect for batch operations. No manual uploads – integration with Postiz means content is published hands-free. --- How It Works This workflow automates the process of generating AI videos using Google Veo3 Fast, saving them to Google Drive, and uploading them to TikTok via Postiz. Here’s how it functions: Trigger: The workflow can be started manually or scheduled (e.g., every 5 minutes) to check for new video requests in a Google Sheet. Video Generation: The workflow retrieves a video prompt and duration from the Google Sheet. It sends the prompt to Google Veo3 Fast via the Fal.ai API to generate the video. The system periodically checks the video generation status until it’s completed. Post-Processing: Once the video is ready, it is downloaded and uploaded to Google Drive. A YouTube-optimized title is generated using GPT-4o Mini based on the video prompt. TikTok Upload: The video is uploaded to Postiz, a social media scheduling tool. Postiz then publishes the video to the connected TikTok account with the generated title. Tracking: The Google Sheet is updated with the video URL for record-keeping. --- Set Up Steps To configure this workflow, follow these steps: Prepare the Google Sheet: Create a Google Sheet with columns: PROMPT: Description of the video. DURATION: Length of the video. VIDEO: (Leave empty, auto-filled by the workflow). Obtain API Keys: Sign up at Fal.ai to get an API key for Google Veo3 Fast. Replace YOURAPIKEY in the "Create Video" node’s HTTP header (Authorization: Key YOURAPIKEY). Configure Postiz for TikTok: Create a Postiz account (free trial available). Connect your TikTok account in Postiz and note the Channel ID. Replace XXX in the "TikTok" node with your TikTok Channel ID. Set the Postiz API key in the "Upload Video to Postiz" node. Set Up Google Drive & Sheets Access: Ensure the workflow has OAuth access to: Google Sheets (to read/write video data). Google Drive (to store generated videos). Schedule or Run Manually: The workflow can be triggered manually or scheduled (e.g., every 5 minutes) to process new video requests. Note: This workflow requires self-hosted n8n due to community node dependencies. --- Need help customizing? Contact me for consulting and support or add me on Linkedin.
By DavideGenerate AI images in bulk with Freepik, Google Sheets & Drive
This n8n workflow automates bulk AI image generation using Freepik's Text-to-Image API. It reads prompts from a Google Sheet, generates multiple variations of each image using Freepik's AI, and automatically uploads the results to Google Drive with organized file names. This is perfect for content creators, marketers, or designers who need to generate multiple AI images in bulk and store them systematically. Key Features: Bulk image generation from Google Sheets prompts Multiple variations per prompt (configurable duplicates) Automatic file naming and organization Direct upload to Google Drive Batch processing for efficient API usage Freepik AI-powered image generation Step-by-Step Implementation Guide Prerequisites Before setting up this workflow, you'll need: n8n instance (cloud or self-hosted) Freepik API account with Text-to-Image access Google account with access to Sheets and Drive Google Sheet with your prompts Step 1: Set Up Freepik API Credentials Go to Freepik API Developer Portal Create an account or sign in Navigate to your API dashboard Generate an API key for Text-to-Image service Copy the API key and save it securely In n8n, go to Credentials → Add Credential → HTTP Header Auth Configure as follows: Name: "Header Auth account" Header Name: x-freepik-api-key Header Value: Your Freepik API key Step 2: Set Up Google Credentials Google Sheets Access: Go to Google Cloud Console Create a new project or select existing one Enable Google Sheets API Create OAuth2 credentials In n8n, go to Credentials → Add Credential → Google Sheets OAuth2 API Enter your OAuth2 credentials and authorize with spreadsheets.readonly scope Google Drive Access: In Google Cloud Console, enable Google Drive API In n8n, go to Credentials → Add Credential → Google Drive OAuth2 API Enter your OAuth2 credentials and authorize Step 3: Create Your Google Sheet Create a new Google Sheet: sheets.google.com Set up your sheet with these columns: Column A: Prompt (your image generation prompts) Column B: Name (identifier for file naming) Example data: | Prompt | Name | |-------------------------------------------|-------------| | A serene mountain landscape at sunrise | mountain-01 | | Modern office space with natural lighting | office-02 | | Cozy coffee shop interior | cafe-03 | Copy the Sheet ID from the URL (the long string between /d/ and /edit) Step 4: Set Up Google Drive Folder Create a folder in Google Drive for your generated images Copy the Folder ID from the URL when viewing the folder Note: The workflow is configured to use a folder called "n8n workflows" Step 5: Import and Configure the Workflow Copy the provided workflow JSON In n8n, click Import from File or Import from Clipboard Paste the workflow JSON Configure each node as detailed below: Node Configuration Details: Start Workflow (Manual Trigger) No configuration needed Used to manually start the workflow Get Prompt from Google Sheet (Google Sheets) Document ID: Your Google Sheet ID (from Step 3) Sheet Name: Sheet1 (or your sheet name) Operation: Read Credentials: Select your "Google Sheets account" Double Output (Code Node) Purpose: Creates multiple variations of each prompt JavaScript Code: javascript const original = items[0].json; return [ { json: { ...original, run: 1 } }, { json: { ...original, run: 2 } }, ]; Customization: Add more runs for additional variations Loop (Split in Batches) Processes items in batches to manage API rate limits Options: Keep default settings Reset: false Create Image (HTTP Request) Method: POST URL: https://api.freepik.com/v1/ai/text-to-image Authentication: Generic → HTTP Header Auth Credentials: Select your "Header Auth account" Send Body: true Body Parameters: Name: prompt Value: ={{ $json.Prompt }} Split Responses (Split Out) Field to Split Out: data Purpose: Separates multiple images from API response Convert to File (Convert to File) Operation: toBinary Source Property: base64 Purpose: Converts base64 image data to file format Upload Image to Google Drive (Google Drive) Operation: Upload Name: =Image - {{ $('Get Prompt from Google Sheet').item.json.Name }} - {{ $('Double Output').item.json.run }} Drive ID: My Drive Folder ID: Your Google Drive folder ID (from Step 4) Credentials: Select your "Google Drive account" Step 6: Customize for Your Use Case Modify Duplicate Count: Edit the "Double Output" code to create more variations Update File Naming: Change the naming pattern in the Google Drive upload node Adjust Batch Size: Modify the Loop node settings for your API limits Add Image Parameters: Enhance the HTTP request with additional Freepik parameters (size, style, etc.) Step 7: Test the Workflow Ensure your Google Sheet has test data Click Execute Workflow on the manual trigger Monitor the execution flow Check that images are generated and uploaded to Google Drive Verify file names match your expected pattern Step 8: Production Deployment Set up error handling for API failures Configure appropriate batch sizes based on your Freepik API limits Add logging for successful uploads Consider webhook triggers for automated execution Set up monitoring for failed executions Freepik API Parameters Basic Parameters: prompt: Your text description (required) negative_prompt: What to avoid in the image guidance_scale: How closely to follow the prompt (1-20) numinferencesteps: Quality vs speed trade-off (20-100) seed: For reproducible results Example Enhanced Body: json { "prompt": "{{ $json.Prompt }}", "negative_prompt": "blurry, low quality", "guidance_scale": 7.5, "numinferencesteps": 50, "num_images": 1 } Workflow Flow Summary Start → Manual trigger initiates the workflow Read Sheet → Gets prompts and names from Google Sheets Duplicate → Creates multiple runs for variations Loop → Processes items in batches Generate → Freepik API creates images from prompts Split → Separates multiple images from response Convert → Transforms base64 to binary file format Upload → Saves images to Google Drive with organized names Complete → Returns to loop for next batch Contact Information Robert A Ynteractive For support, customization, or questions about this workflow: 📧 Email: rbreen@ynteractive.com 🌐 Website: https://ynteractive.com/ 💼 LinkedIn: https://www.linkedin.com/in/robert-breen-29429625/ Need help implementing this workflow or want custom automation solutions? Get in touch for professional n8n consulting and workflow development services.
By Robert BreenPeriodically send data from HTTP Request node to Telegram
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By Harshil AgrawalReddit lead finder: Automated prospecting with GPT-4, Supabase and Gmail alerts
This workflow monitors targeted subreddits for potential sales leads using Reddit’s API, AI content analysis, Supabase, and Google Sheets. It is built specifically to discover posts from Reddit users who may benefit from a particular product or service. It can be easily customized for any market. --- 🔍 Features Targeted Subreddit Monitoring: Searches multiple niche subreddits like smallbusiness, startup, sweatystartup, etc., using relevant keywords. AI-Powered Relevance Scoring: Uses OpenAI GPT to analyze each post and determine if it’s written by someone who might benefit from your product, returning a simple “yes” or “no.” Duplicate Lead Filtering with Supabase: Ensures you don’t email the same lead more than once by storing already-processed Reddit post IDs in a Supabase table. Content Filtering: Filters out posts with no body text or no upvotes to ensure only high-quality content is processed. Lead Storage in Google Sheets: Saves qualified leads into a connected Google Sheet with key data (URL, post content, subreddit, and timestamp). Email Digest Alerts: Compiles relevant leads and sends a daily digest of matched posts to your team’s inbox for review or outreach. Manual or Scheduled Trigger: Can be manually triggered or automatically scheduled (via the built-in Schedule Trigger node). --- ⚙️ Tech Stack Reddit API – For post discovery OpenAI Chat Model – For AI-based relevance filtering Supabase – For lead de-duplication Google Sheets – For storing lead details Gmail API – For sending email alerts --- 🔧 Customization Tips Adjust Audience: Modify the subreddits and keywords in the initial Code node to match your market. Change the AI Prompt: Customize the prompt in the “Analysis Content by AI” node to describe your product or service. Search Comments Instead: To monitor comments instead of posts, change type=link to type=comment in the Reddit Search node. Change Email Recipients: Edit the Gmail node to direct leads to a different email address or format.
By BlueProGenerate QR codes from URLs with QR Server API and downloadable images
Easily generate QR codes from any URL! This workflow lets users submit a URL via a simple form and instantly receive a downloadable QR code image—perfect for quick sharing or promotions. Setup is fast and user-friendly, so you’ll be up and running in minutes! --- 🚀 How it works The end user submits a URL through a simple online form. The workflow automatically sends the submitted URL to a QR code generation API. The user receives a downloadable QR code image corresponding to their URL. --- ⚙️ Setup instruction Import Workflow: Click "Import from JSON" in your n8n environment and paste the provided workflow JSON. Click "Save" and activate the workflow. Double click the "On form submission" node to obtain the production URL. You may now use this URL to do QR code generation.
By Rex LuiBrand visibility & sentiment analysis across AI search tools (OpenAI, Perplexity, ChatGPT)
This n8n template demonstrates how to audit your brand’s visibility across multiple AI systems and automatically log the results to Google Sheets. It sends the same prompt to OpenAI, Perplexity, and (optionally) a ChatGPT web actor, then runs sentiment and brand-hierarchy analysis on the responses. Use cases are many: benchmark how often (and how positively) your brand appears in AI answers, compare responses across models, and build a repeatable “AI visibility” report for marketing and comms teams. 💡 Good to know You’ll bring your own API keys for OpenAI and Perplexity. Usage costs depend on your providers’ pricing. The optional APIfy actor automates the ChatGPT web UI and may violate terms of service. Use strictly at your own risk. ⁉ How it works A Manual Trigger starts the workflow (you can replace it with any trigger). Input prompts are read from a Google Sheet (or you can use the included “manual input” node). The prompt is sent to three tools: -- OpenAI (via API) to check baseline LLM knowledge. -- Perplexity (API) to retrieve an answer with citations. -- Optionally, an APIfy actor that scrapes a ChatGPT response (web interface). Responses are normalized and mapped (including citations where available). An LLM-powered sentiment pass classifies each response into: -- Basic Polarity: Positive, Neutral, or Negative -- Emotion Category: Joy, Sadness, Anger, Fear, Disgust, or Surprise -- Brand Hierarchy: ordered list such as Nike>Adidas>Puma The consolidated record (Prompt, LLM, Response, Brand mentioned flag, Brand Hierarchy, Basic Polarity, Emotion Category, Source 1–3/4) is appended to your “Output many models” Google Sheet. A simplified branch shows how to take a single response and push it to a separate sheet. 🗺️ How to use Connect your Google Sheets OAuth and create two tabs: -- Input: a single “Prompt” column -- Output: columns for Prompt, LLM, Response, Brand mentioned, Brand Hierarchy, Basic Polarity, Emotion Category, Source 1, Source 2, Source 3, Source 4 Add your OpenAI and Perplexity credentials. (Optional) Add an APIfy credential (Query Auth with token) if you want the ChatGPT web actor path. Run the Manual Trigger to process prompts in batches and write results to Sheets. Adjust the included “Limit for testing” node or remove it to process more rows. ⚒️ Requirements OpenAI API access (e.g., GPT-4.1-mini / GPT-5 as configured in the template) Perplexity API access (model: sonar) Google Sheets account with OAuth connected in n8n (Optional) APIfy account/token for the ChatGPT web actor 🎨 Customising this workflow Swap the Manual Trigger for a webhook or schedule to run audits automatically. Extend the sentiment analyzer instructions to include brand-specific rules or compliance checks. Track more sources (e.g., additional models or vertical search tools) by duplicating the request→map→append pattern. Add scoring (e.g., “visibility score” per prompt) and charts by pointing the output sheet into Looker Studio or a BI tool.
By AOE Agent LabGet updates when a response is created in SurveyMonkey
Companion workflow for SurveyMonkey node docs
By amudhanNews-to-blog automation with GPT, Leonardo AI & WordPress publishing
This workflow automates the end-to-end process of generating and publishing blog posts from live news headlines. Fetch Headlines – Collects the latest top stories from Google News and GDELT, merges them, and removes duplicates. Headline Selection & Classification – Picks top headlines, checks relevance, and applies style rules. Draft Generation – Uses GPT to create an initial blog article in a natural, human tone. Tone & Expansion – Refines the draft for clarity, length, and style (customized to your own writing voice). Image Generation – Sends the article topic to Leonardo AI, waits for the image to finish rendering, and retrieves the final asset. Publish to WordPress – Uploads the generated image, assigns alt-text, creates a WordPress post with the article and image, and logs the publication to Google Sheets for tracking. Purpose Designed for hands-off content automation, this workflow continuously produces SEO-ready blog posts enriched with AI-generated images and publishes them directly to WordPress. It’s ideal for: Running an automated blog that reacts to trending news. Keeping websites updated with fresh, styled content without manual effort. Creating a repeatable content engine that combines research, writing, and media assets in one pipeline. Setup Instructions: Add Your Credentials Go to Credentials in n8n and create: OpenAI (for article generation) Leonardo AI (for image generation) WordPress (to publish posts) (Optional) Google Sheets (to log published articles) Attach these credentials to the matching nodes in the workflow. Check the WordPress Node Update the WordPress site URL to your own blog. Make sure the category, tags, and status (publish/draft) are set the way you want.
By Dean GallopEdit & deliver images with DALL-E 2, Google Drive & Telegram messaging
🎨 AI Image Editor with Form Upload + Telegram Delivery 🚀 Who’s it for? 👥 This workflow is built for content creators, social media managers, designers, and agencies who need fast, AI-powered image editing without the hassle. Whether you're batch-editing for clients or spicing up personal projects, this tool gets it done — effortlessly. What it does 🛠️ A seamless pipeline that: 📥 Accepts uploads + prompts via a clean form ☁️ Saves images to Google Drive automatically 🧠 Edits images with OpenAI’s image API 📁 Converts results to downloadable PNGs 📬 Delivers the final image instantly via Telegram Perfect for AI-enhanced workflows that need speed, structure, and simplicity. How it works ⚙️ User Uploads: Fill a form with an image + editing prompt Cloud Save: Auto-upload to your Google Drive folder AI Editing: OpenAI processes the image with your prompt Convert & Format: Image saved as PNG Telegram Delivery: Final result sent straight to your chat 💬 You’ll need ✅ 🔑 OpenAI API key 📂 Google Drive OAuth2 setup 🤖 Telegram bot token & chat ID ⚙️ n8n instance (self-hosted or cloud) Setup in 4 Easy Steps 🛠️ Connect APIs Add OpenAI, Google Drive, and Telegram credentials to n8n Store keys securely (avoid hardcoding!) Configure Settings Set Google Drive folder ID Add Telegram chat ID Tweak image size (default: 1024×1024) Deploy the Form Add a Webhook Trigger node Test with a sample image Share the form link with users 🎯 Fine-Tune Variables In the Set node, customize: 📐 Image size 📁 Folder path 📲 Delivery options ⏱️ Timeout duration Want to customize more? 🎛️ 🖼️ Image Settings Change size (e.g. 512x512 or 2048x2048) Update the model (when new versions drop) 📂 Storage Auto-organize files by date/category Add dynamic file names using n8n expressions 📤 Delivery Swap Telegram with Slack, email, Discord Add multiple delivery channels Include image prompt or metadata in messages 📝 Form Upgrades Add fields for advanced editing Validate file types (e.g. PNG/JPEG only) Show a progress bar for long edits ⚡ Advanced Features Add error handling or retry flows Support batch editing Include approvals or watermarking before delivery ⚠️ Notes & Best Practices ✅ Check OpenAI credit balance 🖼️ Test with different image sizes/types ⏱️ Adjust timeout settings for larger files 🔐 Always secure your API keys
By David OlusolaTrack free Udemy courses automatically with RapidAPI and Google Sheets
This workflow fetches free Udemy courses hourly via the Udemy Coupons and Courses API on RapidAPI, filters them, and updates a Google Sheet. It sends alerts on errors for smooth monitoring. --- Node-by-Node Explanation Schedule Trigger: Runs the workflow every hour automatically. Fetch Udemy Coupons: Sends POST request to the Udemy Coupons and Courses API on RapidAPI to get featured courses. Check API Success: Verifies if the API response is successful; routes accordingly. Filter Free Courses: Selects only courses with sale_price of zero (free courses). Send Error Notification: Emails admin if API fetch fails for quick action. Sync Courses to Google Sheet: Appends or updates the filtered free courses into Google Sheets. --- Google Sheets Columns id name price sale_price image lectures views rating language category subcategory slug store sale_start --- Google Sheets Setup & Configuration Steps Create Google Sheet: Create or open a Google Sheet where you want to sync courses. Set Headers: Add columns headers matching the fields synced (id, name, price, etc.). Enable Google Sheets API: Go to Google Cloud Console, enable Google Sheets API for your project. Create Service Account: In Google Cloud Console, create a Service Account with editor access. Download Credentials: Download the JSON credentials file from the service account. Share Sheet: Share your Google Sheet with the Service Account email (found in JSON file). Configure n8n Google Sheets Node: Use the service account credentials, set operation to “Append or Update”, provide Sheet URL and sheet name or gid. Match Columns: Map the course fields to your sheet columns and set id as the unique key for updates. --- How to Obtain RapidAPI Key & Setup API Request Sign up/Login: Visit RapidAPI Udemy Coupons and Courses API and create an account or log in. Subscribe to API: Subscribe to the Udemy Coupons and Courses API plan (free or paid). Get API Key: Navigate to your dashboard and copy your x-rapidapi-key. Configure HTTP Request: In your workflow’s HTTP Request node: Set method to POST. URL: https://udemy-coupons-and-courses.p.rapidapi.com/featured.php Add headers: x-rapidapi-host: udemy-coupons-and-courses.p.rapidapi.com x-rapidapi-key: your copied API key Set content type to multipart/form-data. Add body parameter: page=1 (or as needed). Test API: Run the node to ensure the API responds with data successfully before continuing workflow setup. --- Use Cases & Benefits Automates daily updates of free Udemy courses in your sheet using the Udemy Coupons and Courses API on RapidAPI. Saves manual effort in tracking coupons and deals. Enables quick error alerts to maintain data accuracy. Ideal for course aggregators, affiliate marketers, or learning platforms needing fresh course data. --- Who This Workflow Is For Content curators and edtech platforms tracking free courses. Affiliate marketers promoting Udemy deals. Anyone needing real-time access to updated free Udemy coupons.
By Sk developer Manage Google Sheets data with GPT-4 natural language processing & calculator
Who’s it for This template is for users who want to combine the power of AI with Google Sheets for managing and calculating data quickly. It’s ideal for small businesses, data entry teams, and anyone who tracks lists, orders, or tasks in Google Sheets and needs AI-driven insights or calculations. How it works The workflow connects an AI agent with Google Sheets and a calculator tool. When a user sends a chat message, the AI interprets the request, retrieves or updates rows in the connected sheet, and performs calculations when needed. For example, it can read a list of orders from a sheet and calculate totals or averages instantly. It also supports creating, updating, and deleting rows from the sheet through natural language instructions. How to set up Copy the provided Google Sheet into your Google Drive. Connect your Google Sheets credentials in n8n. Add your OpenAI credentials for the AI agent. Deploy the workflow and start interacting with it by sending chat prompts. Requirements OpenAI account (for AI responses) Google Sheets account with a spreadsheet n8n instance with LangChain nodes enabled How to customize the workflow Change the spreadsheet fields (ID, Name, etc.) to match your own data structure. Modify the AI prompt to guide the agent’s tone or behavior. Extend the workflow by adding more Google Sheets operations or AI tools for advanced tasks.
By Yar Malik (Asfandyar)