Generate AI viral videos with Seedance and upload to TikTok, YouTube & Instagram
Generate AI videos with Seedance & Blotato, upload to TikTok, YouTube & Instagram Who is this for? This template is ideal for creators, content marketers, social media managers, and AI enthusiasts who want to automate the production of short-form, visually captivating videos for platforms like TikTok, YouTube Shorts, and Instagram Reels — all without manual editing or publishing. What problem is this workflow solving? Creating engaging videos requires: Generating creative ideas Writing detailed scene prompts Producing realistic video clips and sound effects Editing and stitching the final video Publishing across multiple platforms This workflow automates the entire process, saving hours of manual work and ensuring consistent, AI-driven content output ready for social distribution. What this workflow does This end-to-end AI video automation workflow: Generates a creative idea using OpenAI and LangChain Creates detailed video prompts with Seedance AI Generates video clips via Wavespeed AI Generates sound effects with Fal AI Stitches the final video using Fal AI’s ffmpeg API Logs metadata and video links to Google Sheets Uploads the video to Blotato Auto-publishes to TikTok, YouTube, Instagram, and other platforms Setup Add your OpenAI API key in the LLM nodes Set up Seedance and Wavespeed AI credentials for video prompt and clip generation Add your Fal AI API key for sound and stitching steps Connect your Google Sheets account for tracking ideas and outputs Set your Blotato API key and fill in the platform account IDs in the Assign Social Media IDs node Adjust the Schedule Trigger to control when the automation runs How to customize this workflow to your needs Change the AI prompts to target your niche (e.g., ASMR, product videos, humor) Add a Telegram or Slack step for video preview before publishing Tweak scene structure or video duration to match your style Disable platforms you don’t want by turning off specific HTTP Request nodes Edit the sound generation prompts for different moods or effects 📄 Documentation: Notion Guide --- Need help customizing? Contact me for consulting and support : Linkedin / Youtube
By Dr. FirasAI-powered WhatsApp chatbot 🤖📲 for text, voice, images & PDFs with memory 🧠
This workflow is a highly advanced multimodal AI assistant designed to operate through WhatsApp. It can understand and respond to text, images, voice messages, and PDF documents by combining OpenAI models with smart logic to adapt to the content received. --- 🎯 Core Features 📥 1. Automatic Message Type Detection Using the Input type node, the bot detects whether the user has sent: Text Voice messages Images Files (PDF) Other unsupported content 💬 2. Smart Text Message Handling Text messages are processed by an OpenAI GPT-4o-mini agent with a customized system prompt. Replies are concise, accurate, and formatted for mobile readability. 🖼️ 3. Image Analysis & Description Images are downloaded, converted to base64, and analyzed by an image-aware AI model. The output is a rich, structured description, designed for visually impaired users or visual content interpretation. 🎙️ 4. Voice Message Transcription & Reply Audio messages are downloaded and transcribed using OpenAI Whisper. The transcribed text is analyzed and answered by the AI. Optionally, the AI reply can be converted back to voice using OpenAI's text-to-speech, and sent as an audio message. 📄 5. PDF Document Extraction & Summary Only PDFs are allowed (filtered via MIME type). The document’s content is extracted and combined with the user's message. The AI then provides a relevant summary or answer. 🧠 6. Contextual Memory Each user has a personalized session ID with a memory window of 10 interactions. This ensures a more natural and contextual conversation flow. --- How It Works Thisworkflow is designed to handle incoming WhatsApp messages and process different types of inputs (text, audio, images, and PDF documents) using AI-powered analysis. Here’s how it functions: Trigger: The workflow starts with the WhatsApp Trigger node, which listens for incoming messages (text, audio, images, or documents). Input Routing: The Input type (Switch node) checks the message type and routes it to the appropriate processing branch: Text: Directly forwards the message to the AI agent for response generation. Audio: Downloads the audio file, transcribes it using OpenAI, and sends the transcription to the AI agent. Image: Downloads the image, analyzes it with OpenAI’s GPT-4 model, and generates a detailed description. PDF Document: Downloads the file, extracts text, and processes it with the AI agent. Unsupported Formats: Sends an error message if the input is not supported. AI Processing: The AI Agent1 node, powered by OpenAI, processes the input (text, transcribed audio, image description, or PDF content) and generates a response. Response Handling: For audio inputs, the AI’s response is converted back into speech (using OpenAI’s TTS) and sent as a voice message. For other inputs, the response is sent as a text message via WhatsApp. Memory: The Simple Memory node maintains conversation context for follow-up interactions. Setup Steps To deploy this workflow in n8n, follow these steps: Configure WhatsApp API Credentials: Set up WhatsApp Business API credentials (Meta Developer Account). Add the credentials in the WhatsApp Trigger, Get Image/Audio/File URL, and Send Message nodes. Set Up OpenAI Integration: Provide an OpenAI API key in the Analyze Image, Transcribe Audio, Generate Audio Response, and AI Agent1 nodes. Adjust Input Handling (Optional): Modify the Switch node ("Input type") to handle additional message types if needed. Update the "Only PDF File" IF node to support other document formats. Test & Deploy: Activate the workflow and test with different message types (text, audio, image, PDF). Ensure responses are correctly generated and sent back via WhatsApp. --- Need help customizing? Contact me for consulting and support or add me on Linkedin.
By DavideAI research assistant via Telegram (GPT-4o mini + DeepSeek R1 + SerpAPI)
AI Research Assistant via Telegram (GPT-4o mini + DeepSeek R1 + SerpAPI) 👥 Who’s it for This workflow is perfect for anyone who wants to receive AI-powered research summaries directly on Telegram. Ideal for people asking frequent product, tech, or decision-making questions and want up-to-date answers sourced from the web. 🤖 What it does Users send a question via Telegram. An AI agent (DeepSeek R1) reformulates and understands the intent, while a second agent (GPT-4o mini) performs live research using SerpAPI. The most relevant answers, including links and images, are delivered back via Telegram. ⚙️ How it works 📲 Telegram Trigger – Starts when a user sends a message to your Telegram bot. 🧠 DeepSeek R1 Agent – Understands, clarifies, or reformulates the user query. 🧠 Research AI Agent (GPT-4o mini + SerpAPI) – Searches the web and summarizes the best results. 📤 Send Telegram Message – Sends the response back to the same user. 📋 Requirements Telegram bot (via BotFather) with API token set in n8n credentials OpenAI account with API key and balance for GPT-4o mini SerpAPI account (100 free searches/month) with API key DeepSeek account with API key and balance 🛠️ How to set up Create your Telegram bot using BotFather and connect it using the Telegram Trigger node Set up DeepSeek credentials and add a Chat Model AI Agent node using DeepSeek R1 to reformulate the user’s question Set up OpenAI credentials and add a second ChatGPT AI Agent node using GPT-4o mini In the GPT-4o node, enable the SerpAPI Tool and add your SerpAPI API key Pass the reformulated question from DeepSeek to the GPT-4o agent for live search and summarization Format the response (text, links, optional images) Send the final reply to the user using the Telegram Send Message node Ensure your n8n instance is publicly accessible Test the workflow by sending a message to your Telegram bot ✅
By Arlin PerezAutomate WooCommerce SEO with Yoast & AI-powered meta tag generation for FREE
This workflow is designed to automate the generation and updating of SEO meta titles and descriptions for WooCommerce products using n8n. It leverages Google Sheets for data input, a FREE language model (Gemini 2.0 Flash Exp. via OpenRouter) for generating SEO-optimized meta tags, and WooCommerce for updating product details. How It Works: Trigger: The workflow can be triggered manually or on a schedule. The manual trigger allows for testing, while the schedule trigger can be set to run at regular intervals (e.g., every few minutes) to process new products. Data Retrieval: The workflow starts by retrieving product IDs from a Google Sheets document. It looks for products that do not yet have meta titles or descriptions. Using the retrieved product ID, the workflow fetches the corresponding product details from WooCommerce, including the product name, description, short description, and categories. Meta Tag Generation: The product details are passed to a language model (Gemini 2.0 Flash Exp) via OpenRouter. The model generates SEO-optimized meta titles and descriptions based on the provided content. The generated meta tags are structured and validated to ensure they meet SEO best practices, such as character limits and keyword inclusion. Update WooCommerce: The generated meta title and description are then updated in the WooCommerce product metadata using the Yoast SEO fields. Update Google Sheets: Finally, the workflow updates the Google Sheets document with the newly generated meta tags, along with the product URL, title, and the timestamp of the update. Set Up Steps: Google Sheets Setup: Create a copy of the provided Google Sheets template and insert WooCommerce product IDs in column "B". Ensure the Google Sheets document has columns for METATITLE, METADESCRIPTION, URL, TITLE POST, and DATA (timestamp). n8n Workflow Configuration: Google Sheets Node: Configure the "Get product ID" node to connect to your Google Sheets document. Use OAuth2 for authentication. WooCommerce Node: Set up the WooCommerce nodes to connect to your WooCommerce store using the WooCommerce API credentials. OpenRouter Node: Configure the "Gemini 2.0 Flash Exp" node with your OpenRouter API credentials to access the language model. Structured Output Parser: Ensure the output parser is set to handle the structured data format for meta titles and descriptions. Workflow Execution: Trigger the workflow manually to test the process or set up a schedule trigger to automate the workflow at regular intervals. Monitor the workflow execution to ensure that meta tags are generated and updated correctly in both WooCommerce and Google Sheets. Validation: After the workflow runs, verify that the meta titles and descriptions in WooCommerce are correctly updated and that the Google Sheets document reflects the changes. This workflow streamlines the process of optimizing WooCommerce product pages for SEO, saving time and ensuring consistency in meta tag generation. --- Need help customizing? Contact me for consulting and support or add me on Linkedin.
By DavideAutomate SEO blog creation + social media with GPT-4, Perplexity and WordPress
🚀 AI Blog & Social Media Publisher – Fully Automated Workflow This workflow is ideal for individuals, marketers, agencies, and brands who want to effortlessly automate the entire blogging and social media process—from idea generation to promotion. Its primary goal is to consistently deliver engaging, SEO-optimized blog posts directly to WordPress, accompanied by professionally crafted social media content ready for Instagram, Facebook, and X (Twitter). No writers, editors, designers, or social media managers required. Save countless hours and resources while boosting your brand's online presence. 🔧 Workflow Capabilities: -Automated Blog Topic Generation: Instantly generates unique, high-value blog ideas tailored to your brand. -SEO Content Creation: Produces comprehensive, 2000–2500 word articles optimized for search engines. -Real-Time Research: Integrates Perplexity AI to ensure factually accurate, authoritative content. -Visual Content Generation: Creates custom, AI-generated featured images via GPT-4, with automatic fallback to Pexels. -WordPress Publishing: Automatically publishes articles directly to WordPress with complete formatting (HTML), meta descriptions, featured images, and proper categorization. -Social Media Automation: Generates and schedules engaging, platform-specific posts for Instagram, Facebook, and X, complete with relevant hashtags, calls-to-action, and links. -Detailed Logging & Reporting: Logs every step transparently into Google Sheets and optionally sends publication reports to Gmail. ⚙️ How It Works: When activated, the workflow checks your content calendar in Google Sheets to avoid duplicate topics. It generates fresh, brand-aligned blog ideas, conducts live research, and creates complete, ready-to-publish articles. It then automatically designs and sources appropriate visuals, publishes content seamlessly to WordPress, and prepares engaging social media posts optimized for each platform. 🛠️ Easy Setup Steps: -Connect your APIs: OpenAI, WordPress, Google Sheets, Gmail, and optionally Pexels. -Replace placeholders (WordPress URLs, Google Sheets ID/tab, workflow IDs). -Customize AI prompts with your brand’s tone, keywords, and CTAs for personalized content. -Configure scheduling to automate daily, weekly, or custom publishing intervals. 📌 Additional Features: -Modular workflow design for easy customization and scalability. -Comprehensive Markdown and PDF setup guides included. -Bonus: Reference placeholders and quick-edit Sticky Notes for effortless adjustments. Launch today. Automate permanently. Amplify your reach effortlessly.
By LukaszBGenerate text images from the Free DummyJSON API using the HTTP request node
Who is this for? This workflow template is ideal for marketers, designers, content creators, and developers who need to generate custom text-based images dynamically. Whether you want to create social media graphics, placeholder images, or text-based LinkedIn carousels, this workflow provides a simple, no-code solution using an API that requires no authentication. What problem does this workflow solve? Creating text-based images often requires design software or complex integrations with graphic tools. This workflow eliminates that hassle by allowing users to generate images with custom text, font styles, colors, and background colors using a simple HTTP request. It’s perfect for automating image generation without relying on external tools or manual effort. What this workflow does This workflow leverages an HTTP request to a free API that generates text-based images dynamically. Here's what it enables you to do: Define custom image text Set image dimensions (width x height) Choose a background color and text color using hex codes Select a font family and font size Specify the image format (PNG, JPG, or WebP) The generated image can be used immediately, making it ideal for automating content creation workflows. Setup Open the workflow in n8n. Modify the Set node to define your preferred image properties: text: The message displayed on the image. size: Image dimensions (e.g., 500x300 pixels). backgroundColor: Hex color code for the background. textColor: Hex color code for the text. fontFamily: Select from available font options (e.g., Pacifico, Ubuntu). fontSize: Define the text size. type: Choose the image format (PNG, JPG, or WebP). Execute the workflow to generate an image. The HTTP request returns the generated image, ready for use. How to customize this workflow Adjust the Set node values to match your desired design. Use dynamic data for text, allowing personalized images based on user input. Automate image delivery by adding email or social media posting nodes. Integrate this workflow into larger automation sequences, such as content marketing pipelines.
By Akram KadriCron routines with Telegram
Executes schedule routines, and triggers alerts via telegram
By HermilioAutomate AI video ad generation with Google Veo 3, Gemini, and Airtable
This n8n template from Intuz provides a complete and automated solution for transforming a static product image and a creative idea into a dynamic, AI-generated video ad. Using Google's state-of-the-art Veo 3 model, this workflow manages the entire creative process from concept to a final, downloadable video file. Who's this workflow for? E-commerce Brands & Marketers Advertising Agencies Social Media Content Creators Product Managers How it works Submit a Creative Brief: The workflow starts when a user submits a creative idea via a simple web form (e.g., "A Pepsi can exploding into a vibrant disco party"). Upload a Product Image: The user is then prompted to upload a corresponding image (e.g., a high-quality photo of the Pepsi can). Log the Project in Airtable: The idea and the uploaded image are saved to an Airtable base, which acts as the central tracking system for all video generation projects. AI Creative Analysis: Google Gemini analyzes both the user's text prompt and the uploaded image. It acts as an "AI Creative Director," generating a detailed video brief that reinterprets the static image according to the user's creative vision. Generate Video with Veo 3: The detailed creative brief is sent to Google's Veo 3 AI video generation model. The workflow initiates a long-running task to create the video. Retrieve the Final Video: After a brief waiting period, the workflow polls the Veo 3 API to retrieve the finished video, converts it into a binary file, and makes it available for download directly from the n8n execution log. Key Requirements to Use This Template n8n Instance & Required Nodes: An active n8n account (Cloud or self-hosted). This workflow uses the official n8n LangChain integration (@n8n/n8n-nodes-langchain). If you are using a self-hosted version of n8n, please ensure this package is installed. Google Cloud Account: A Google Cloud Project with the Vertex AI API enabled. You must have access to both the Gemini and Veo 3 models within your project. You will need a Gemini API Key and a Google OAuth2 Credential configured for the Vertex AI scope. Airtable Account: An Airtable base with a table set up to track the video projects. It should have columns for Image Prompt, Image (Attachment), Video (Attachment/URL), and Status. Setup Instructions Airtable Configuration (Crucial): In the Create a record, Get a record, and Update record nodes, connect your Airtable credentials and update the Base ID and Table ID to match your setup. In the Uploading Image in Airtable (HTTP Request) node, you must edit the URL and the "Authorization" header to include your Base ID, Table ID, and Personal Access Token. Google AI Configuration (Gemini & Veo): In the Analyze image (Google Gemini) node, select your Gemini API credentials. In both the Generate Video Veo 3 and Get the the Video (HTTP Request) nodes: You must replace [Project ID] and [Location] in the URLs with your own Google Cloud Project ID and region (e.g., us-central1). Select your Google OAuth2 credentials for authentication. Customize Video Parameters (Optional): In the Parse Request (Code) node, you can modify the JavaScript code to change video generation settings like aspectRatio, durationSeconds, and resolution. Execute the Workflow: Activate the workflow. Open the Form URL from the Prompt your Idea node to start the process. Sample Videos Connect with us Website: https://www.intuz.com/services Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz Get Started: https://n8n.partnerlinks.io/intuz For Custom Workflow Automation Click here- Get Started
By Intuz Automate Glassdoor job search with Bright Data scraping & Google Sheets storage
🔍 Glassdoor Job Finder: Bright Data Scraping + Keyword-Based Automation A comprehensive n8n automation that scrapes Glassdoor job listings using Bright Data's web scraping service based on user-defined keywords, location, and country parameters, then automatically stores the results in Google Sheets. 📋 Overview This workflow provides an automated job search solution that extracts job listings from Glassdoor using form-based inputs and stores organized results in Google Sheets. Perfect for recruiters, job seekers, market research, and competitive analysis. Workflow Description: Automates Glassdoor job searches using Bright Data's web scraping capabilities. Users submit keywords, location, and country via form trigger. The workflow scrapes job listings, extracts company details, ratings, and locations, then automatically stores organized results in Google Sheets for easy analysis and tracking. ✨ Key Features 🎯 Form-Based Input: Simple web form for job type, location, and country 🔍 Glassdoor Integration: Uses Bright Data's Glassdoor dataset for accurate job data 📊 Smart Data Processing: Automatically extracts key job information 📈 Google Sheets Storage: Organized data storage with automatic updates 🔄 Status Monitoring: Built-in progress tracking and retry logic ⚡ Fast & Reliable: Professional scraping with error handling 🎯 Keyword Flexibility: Search any job type with location filters 📝 Structured Output: Clean, organized job listing data 🎯 What This Workflow Does Input Job Keywords: Job title or role (e.g., "Software Engineer", "Marketing Manager") Location: City or region for job search Country: Target country for job listings Processing Form Submission Data Scraping via Bright Data Status Monitoring Data Extraction Data Processing Sheet Update Output Data Points | Field | Description | Example | |-------|-------------|---------| | Job Title | Position title from listing | Senior Software Engineer | | Company Name | Employer name | Google Inc. | | Location | Job location | San Francisco, CA | | Rating | Company rating score | 4.5 | | Job Link | Direct URL to listing | https://glassdoor.com/job/... | 🚀 Setup Instructions Prerequisites n8n instance (self-hosted or cloud) Google account with Sheets access Bright Data account with Glassdoor scraping dataset access 5–10 minutes for setup Step 1: Import the Workflow Copy the JSON workflow code from the provided file In n8n: Workflows → + Add workflow → Import from JSON Paste JSON and click Import Step 2: Configure Bright Data Set up Bright Data credentials in n8n Ensure access to dataset: gd_lpfbbndm1xnopbrcr0 Update API tokens in: "Scrape Job Data" node "Check Delivery Status of Snap ID" node "Getting Job Lists" node Step 3: Configure Google Sheets Integration Create a new Google Sheet (e.g., "Glassdoor Job Tracker") Set up Google Sheets OAuth2 credentials in n8n Prepare columns: Column A: Job Title Column B: Company Name Column C: Location Column D: Rating Column E: Job Link Step 4: Update Workflow Settings Update "Update Job List" node with your Sheet ID and credentials Test the form trigger and webhook URL Step 5: Test & Activate Submit test data (e.g., "Software Engineer" in "New York") Activate the workflow Verify Google Sheet updates and field extraction 📖 Usage Guide Submitting Job Searches Navigate to your workflow's webhook URL Fill in: Search Job Type Location Country Submit the form Reading the Results Real-time job listing data Company ratings and reviews Direct job posting links Location-specific results Processing timestamps 🔧 Customization Options More Data Points: Add job descriptions, salary, company size, etc. Search Parameters: Add filters for salary, experience, remote work Data Processing: Add validation, deduplication, formatting 🚨 Troubleshooting Bright Data connection failed: Check API credentials and dataset access No job data extracted: Validate search terms and location format Google Sheets permission denied: Re-authenticate and check sharing Form submission failed: Check webhook URL and form config Workflow execution failed: Check logs, add retry logic Advanced Troubleshooting Check execution logs in n8n Test individual nodes Verify data formats Monitor rate limits Add error handling 📊 Use Cases & Examples Recruitment Pipeline: Track job postings, build talent database Market Research: Analyze job trends, hiring patterns Career Development: Monitor opportunities, salary trends Competitive Intelligence: Track competitor hiring activity ⚙️ Advanced Configuration Batch Processing: Accept multiple keywords, loop logic, delays Search History: Track trends, compare results over time External Tools: Integrate with CRM, Slack, databases, BI tools 📈 Performance & Limits Single search: 2–5 minutes Data accuracy: 95%+ Success rate: 90%+ Concurrent searches: 1–3 (depends on plan) Daily capacity: 50–200 searches Memory: ~50MB per execution API calls: 3 Bright Data + 1 Google Sheets per search 🤝 Support & Community n8n Community Forum: community.n8n.io Documentation: docs.n8n.io Bright Data Support: Via your dashboard GitHub Issues: Report bugs and features Contributing: Share improvements, report issues, create variations, document best practices. Need Help? Check the full documentation or visit the n8n Community for support and workflow examples.
By Bright DataSync data between multiple Google Spreadsheets
Triggers workflow all two minutes Reads data from a Google Spreadsheet (in example Sheet Data columns A to G) Write the data unchanged in two different Spreadsheets with same Sheet name and columns, expressions are optional)
By Jan OberhauserSend outreach/cold email using Gmail to new HubSpot contacts
Use case This workflow uses Gmail to send outreach emails to new Hubspot contacts that have yet to be contacted (usually unknown contacts), and records the outreach in Hubspot. Setup Setup HubSpot Oauth2 creds (Be careful with scopes. They have to be exact, not less or more. Yes, it's not simple, but it's well documented in the n8n docs. Be smarter than me, read the docs) Setup Gmail creds. Change the from email and from name in the Record outreach in HubSpot node How to adjust this template to your needs Change the email message in the Set keys node Think about your criteria to reach out to new contacts. Here we simply filter for only contacts with unknown dates.
By MutasemResearch-based article generator with OpenAI and web search for high SEO scores
Generate research-backed article with n8n Who’s it for Content marketers, SEO teams, and founders who need fast, research-grounded blog posts or long-form articles—multi-language included. Works well for teams that want citations, outlines, and section-by-section drafting with minimal manual effort. How it works / What it does Use a Form to collects domain, keywords, and target language. The workflow refines keywords, finds recent articles and authoritative citations, then synthesizes a master outline and loops through each section: generate search queries → fetch web results → summarize findings → write the section with the advanced model. Finally, it aggregates all sections into a clean Markdown article. Optional delivery nodes (Email, Telegram) and an AI Agent are included but disabled by default.&x20; How to set up Import the workflow JSON into n8n. Add your OpenAI credential Set simplemodel / advancedmodel in LLM Params Requirements n8n instance with outbound internet access. OpenAI API access (Responses API + websearchpreview). (Optional) Email/Telegram credentials if you want to deliver results async How to customize the workflow Edit prompts in LLM Params and Section Prompts to match tone, structure, and SEO style Tweak recency and source rules in Search Articles / Search Citations.&x20; Insert a human review step before “Write Section”, enable delivery nodes Change working/output languages in the Language node
By Constantine Kissel