AI-powered short-form video generator with OpenAI, Flux, Kling, and ElevenLabs
Who is this for? Content creators, digital marketers, and social media managers who want to automate the creation of short-form videos for platforms like TikTok, YouTube Shorts, and Instagram Reels without extensive video editing skills. What problem does this workflow solve? Creating engaging short-form videos consistently is time-consuming and requires multiple tools and skills. This workflow automates the entire process from ideation to publishing, significantly reducing the manual effort needed while maintaining content quality. What this workflow does This all-in-one solution transforms ideas into fully produced short-form videos through a 5-step process: Generate video captions from ideas stored in a Google Sheet Create AI-generated images using Flux and the OpenAI API Convert images to videos using Kling's API Add voice-overs to your content with Eleven Labs Complete the video production with Creatomate by adding templates, transitions, and combining all elements The workflow handles everything from sourcing content ideas to rendering the final video, and even notifies you on Discord when videos are ready. Setup (Est. time: 20-30 minutes) Before getting started, you'll need: n8n installation (tested on version 1.81.4) OpenAI API Key (free trial credits available) PiAPI (free trial credits available) Eleven Labs (free account) Creatomate API Key (free trial credits available) Google Sheets API enabled in Google Cloud Console Google Drive API enabled in Google Cloud Console OAuth 2.0 Client ID and Client Secret from your Google Cloud Console Credentials How to customize this workflow to your needs Adjust the Google Sheet structure to include additional data like video length, duration, style, etc. Modify the prompt templates for each AI service to match your brand voice and content style Update the Creatomate template to reflect your visual branding Configure notification preferences in Discord to manage your workflow This workflow combines multiple AI technologies to create a seamless content production pipeline, saving you hours of work per video and allowing you to focus on strategy rather than production.
By Cameron WillsReal-time crypto news & sentiment analysis via Telegram with GPT-4o
Stay on top of the latest crypto news and market sentiment instantly, all inside Telegram! This workflow aggregates articles from the top crypto news sources, filters for your topic of interest, and summarizes key news and market sentiment using GPT-4o AI. Ideal for crypto traders, investors, analysts, and market watchers needing fast, intelligent news briefings. > 💬 Just type a coin name (e.g., "Bitcoin", "Solana", "DeFi") into your Telegram AI Agent—and get a smart news digest. --- How It Works Telegram Bot Trigger User sends a keyword (e.g., "Ethereum") of questions to the Telegram AI Agent. Keyword Extraction (AI-Powered) An AI agent identifies the main topic for better targeting. News Aggregation Pulls articles from 9 major crypto news RSS feeds: Cointelegraph Bitcoin Magazine CoinDesk Bitcoinist NewsBTC CryptoPotato 99Bitcoins CryptoBriefing Crypto.news Filtering Finds and merges articles relevant to the user's keyword. AI Summarization GPT-4o generates a 3-part summary: News Summary Market Sentiment Analysis List of Article Links Telegram Response Sends a structured, easy-to-read digest back to the user. --- 🔍 What You Can Do with This Workflow 🔹 Summarize breaking news for any crypto project or keyword 🔹 Monitor real-time market sentiment on Bitcoin, DeFi, NFTs, and more 🔹 Stay ahead of FUD, bullish trends, and major news events 🔹 Quickly brief yourself or your team via Telegram 🔹 Use it as a foundation for more advanced crypto alert bots --- ✅ Example User Inputs ✅ "Bitcoin" → Latest Bitcoin news and sentiment summary ✅ "Solana" → Updates on Solana projects, price movements, and community trends ✅ "NFT" → Aggregated news about NFT markets and launches ✅ "Layer 2" → Insights on Optimism, Arbitrum, and other L2s --- 🛠️ Setup Instructions Create a Telegram Bot Use @BotFather and obtain the Bot Token. Configure Telegram Credentials in n8n Add your bot token under Telegram API Credentials. Configure OpenAI API Add your OpenAI credentials for GPT-4o access. Update Telegram Send Node In the Telegram Send node, replace the placeholder chatId with your real Telegram user or group chat ID. Deploy and Test Start chatting with your bot: e.g., "Ethereum" or "DeFi". --- 📌 Workflow Highlights 9 major crypto news sources combined Smart keyword matching with AI query parsing Summarized insights in human-readable format Reference links included for deeper reading Instant delivery via Telegram --- 🚀 Get ahead of the crypto market—automate your news and sentiment monitoring with AI inside Telegram!
By Don Jayamaha JrGenerating image embeddings via textual summarisation
This n8n template demonstrates an approach to image embeddings for purpose of building a quick image contextual search. Use-cases could for a personal photo library, product recommendations or searching through video footage. How it works A photo is imported into the workflow via Google Drive. The photo is processed by the edit image node to extract colour information. This information forms part of our semantic metadata used to identify the image. The photo is also processed by a vision-capable model which analyses the image and returns a short description with semantic keywords. Both pieces of information about the image are combined with the metadata of the image to form a document describing the image. This document is then inserted into our vector store as a text embedding which is associated with our image. From here, the user can query the vector store as they would any document and the relevant image references and/or links should be returned. Requirements Google account to download image files from Google Drive. OpenAI account for the Vision-capable AI and Embedding models. Customise this workflow Text summarisation is just one of many techniques to generate image embeddings. If the results are unsatisfactory, there are dedicated image embedding models such as Google's vertex AI multimodal embeddings.
By JimleukAutomatic YouTube shorts generator
Automated YouTube Shorts Creator from Google News Trends Transform trending Google News articles into engaging YouTube Shorts with this fully automated workflow. Save time and effort while creating dynamic, eye-catching videos that are perfect for content creators, journalists, and digital marketers. Key Features Trend Analysis: Automatically fetch Google News articles and entertainment trends every 24 hours. AI-Powered Video Creation: Generate accurate transcripts from articles using Deepseek AI. Create visually appealing backgrounds with AI image generation tools. Add voiceovers with ElevenLabs TTS or similar services. Dynamic Video Compilation: Combine images, audio, and background music to craft short, dynamic videos. Fully customizable video length and music selection. YouTube Integration: Upload videos directly to YouTube, complete with autogenerated titles and descriptions. Organized Management: Titles and descriptions are saved to a Google Sheet for easy tracking and editing. How It Works Fetch trending topics from Google News using Deepseek. Convert the article's content into a readable transcript. Automatically create a voiceover, generate visuals, and combine them into a complete video. Upload the video to YouTube with a dynamic caption and description. Who Is It For? Content creators looking to expand their reach on YouTube Shorts. News agencies aiming to deliver content faster. Digital marketers needing quick, engaging videos. Setup Requirements API keys for Google News, ElevenLabs, OpenAI, and Deepseek. Basic knowledge of API integration and video content creation. Start creating trending, eye-catching YouTube Shorts in minutes. Automate your workflow and stay ahead in the content game!
By Samautomation.workReceive Google Sheet data via REST API
Simple workflow which allows to receive data from a Google Sheet via "REST" endpoint. Wait for Webhook Call Get data from Google Sheet Return data Example Sheet: https://docs.google.com/spreadsheets/d/17fzSFl1BZ1njldTfp5lvh8HtS0-pNXH66b7qGZIiGRU
By Jan OberhauserWordPress auto-blogging pro - content automation machine for SEO topics
The best content automation in the market! This advanced workflow not only creates and publishes SEO-optimized blog posts to your WordPress website but also backs up all content and images to a designated folder in your Google Drive. In addition, It generates a unique image for each chapter and a featured image for the overall article, and it automatically collects internal website links—seamlessly inserting them throughout each chapter and the entire article. This integrated approach enhances on-page SEO, improves navigation, and streamlines your content creation process, saving you time while ensuring your work is securely stored. How it works Triggers upon adding a new row to a Google Sheets. Generates a full blog post by writing content based on customizable parameters such as topic, target audience, length, style, and seed keyword. Generates and adds images for each chapter as well as a featured image for the article. Gathers internal website links and strategically embeds them within each chapter and throughout the article, boosting SEO and enhancing user navigation. Publishes the blog post directly to your WordPress website. Saves all content (blog post and images) to Google Drive, organizing them in a folder named after the blog post title. Unique features Full Automation: The workflow is designed to be 100% automated. Once imported and configured, it can run without manual intervention. Simple Activation: It can be easily triggered through the Google Spreadsheets interface. You simply add a new row to a Google Sheet. Customization Options: Offers a wide array of customization options, including topic, category, target audience, word count, number of chapters, length of introduction and conclusion, and writing style. It also allows for the inclusion of calls-to-action (CTAs) and company/product introductions. Automatic Content Saving: After writing a blog post, all content and images are automatically saved to Google Drive, preventing data loss. The folder is even named after the title of the blog post. SEO-Optimized Content: It's designed to create content optimized for SEO using seed keywords. AI Model Flexibility: It’s super easy to switch between different AI models through the Open Router node. Rate Limit Handling: Includes "Wait" nodes to avoid rate limits. Internal Link Limit: Limits the number of internal links to 20 by default. Set up steps Install the workflow template: Import the JSON file into your n8n instance. Connect the workflow to your accounts: This includes linking your WordPress website, Google Drive, and AI models (such as OpenAI GPT-4o). Configure the Google Sheet: Ensure your Google Sheet is set up to trigger the workflow upon adding a new row and that the input data is correctly formatted. Customize the workflow: Adjust parameters like topic, target audience, and writing style to match your specific content needs. Optimize prompts for best results. Test the workflow: Use low-cost AI models and image settings initially to ensure everything runs smoothly. Tailor Further as Needed: Modify workflow elements to align perfectly with your needs and content strategy.
By Daniel NgGenerate n8n forms from Airtable and BaseRow tables
This n8n template showcases a cool feature of n8n Forms where the form itself can be defined dynamically using the form fields schema. It may be debateable how useful this template actually is since both Airtable and Baserow provide form interfaces already but still a great exercise and demonstration if ever the use-case comes around. How it works A form trigger is used to dynamically select a database/table from which to build the n8n form from. the table's schema is imported into the workflow and using the code node, is converted into the n8n form fields schema. This let's us dynamically build the fields in our n8n form when we choose to define the form using the JSON option. Once the n8n form submits, we convert the values back into our table's API schema so that we can create a new row. Note any files/attachments fields are removed as they need to be handled separately. Files are processed separately as they may first need to be stored. Once complete, the reference is saved into the newly created row. Check out the example Airtable here - https://airtable.com/appfP15Xd0aVZR9xV/shrGFgXLyQ4Jg58SU How to use The n8n form is autogenerated which means you only need provide access to the table. Using this approach, this template can be reused for any number of Airtable and/or Baserow tables. Requirements You'll need either an Airtable account or a Baserow account to use this template. Accessible n8n instance to your users Customising this workflow Not using either Airtable or Baserow? Theoretically any datastore which provides a fields schema can be used with this template. If you're feeling creative, split the table into multiple forms for a better user experience.
By JimleukReal estate chatbot with AI property matching and automated calendar scheduling
Description A comprehensive real estate chatbot automation system that handles customer inquiries, property searches, and appointment scheduling through intelligent conversation flows and email processing. How it works? This template creates an end-to-end real estate automation system that handles customer inquiries from initial contact through appointment booking. Customer Entry Point Webhook receives customer messages from chat interface Link detection checks if customer shared property URLs Smart routing - if property link found, fetch details immediately; otherwise proceed to chat AI Content Processing Content filter (PRIORITY) - blocks non-real estate queries upfront Information extraction - scans messages for personal details and property requirements Human handoff detection - identifies requests for live agent assistance Data Collection Phase Sequential gathering: Personal info (name → phone → email) then property needs Smart validation - phone format, email structure, budget parsing No redundancy - never asks for information already provided PostgreSQL storage - saves customer data and conversation memory Property Search & Matching Database query filters properties by type, location, budget, availability Image enhancement - fetches property photos from media storage Results ranking - returns top 5 matches sorted by price AI Response Generation GPT-4 formatting creates engaging, professional property listings Visual enhancement - includes property images and key details Personalized tone - acknowledges customer preferences Appointment Automation Gmail monitoring - checks for appointment confirmations every hour Calendar integration - creates, updates, deletes appointments automatically Smart scheduling - checks availability, suggests alternatives for conflicts Email responses - sends confirmations and follow-ups Intelligence Features Context Awareness Remembers conversation history across sessions Builds complete customer profile progressively Maintains property preferences throughout interaction Smart Extraction Recognizes property types: HDB, Condo, Apartment Parses locations and MRT preferences automatically Handles various budget formats (SGD 2,500, $2500, etc.) Identifies timeline requirements and citizenship status Professional Handoffs Detects human agent requests with keyword matching Collects complete customer context before transfer Sends structured handoff emails with all requirements Ensures smooth transition to live agents Technical Components AI Models OpenAI GPT-4 - Main conversation handling and response formatting GPT-4 Mini - Appointment processing and email management LangChain Memory - Conversation context retention Database Integration PostgreSQL - Customer data, property listings, conversation history Property search with multi-criteria filtering Media storage integration for property images Communication Channels Webhook API - Primary chat interface Gmail integration - Appointment confirmations and notifications Google Calendar - Automated scheduling and availability checking Setup Requirements Configure database - PostgreSQL with property and customer tables Set up integrations - Gmail, Google Calendar, OpenAI API Customize prompts - Adjust AI responses for your brand Test workflow - Verify end-to-end functionality Monitor performance - Track conversation success rates The system is designed to handle the complete customer journey from initial inquiry to scheduled property viewing, with intelligent automation reducing manual work while maintaining high service quality.
By GenziCreate stunning AI images directly from WhatsApp with Gemini
📱🤖 Create Stunning AI Images Directly from WhatsApp with Gemini This workflow transforms your WhatsApp into a personal AI image generation studio. Simply send a text message with your idea, and this bot will use the advanced prompt engineering capabilities of Gemini 2.5 Pro to craft a detailed, artistic prompt. It then uses Gemini 2.0 Flash to generate a high-quality image from that prompt and sends it right back to your chat. It's a powerful yet simple way to bring your creative ideas to life, all from the convenience of your favorite messaging app\! What this workflow does Listens for WhatsApp Messages: The workflow starts automatically when you send a message to your connected WhatsApp number. Enhances Your Idea with AI: It takes your basic text (e.g., "a knight on a horse") and uses Gemini 2.5 Pro to expand it into a rich, detailed prompt perfect for image generation (e.g., "A cinematic, full-body shot of a stoic knight in gleaming, ornate silver armor, riding a powerful black warhorse through a misty, ancient forest. The scene is lit by ethereal morning sunbeams piercing the canopy, creating dramatic volumetric lighting and long shadows. Photorealistic, 8K, ultra-detailed, award-winning fantasy concept art."). Generates a Unique Image: It sends this enhanced prompt to the Google Gemini 2.0 Flash image generation API. Prepares the Image: The API returns the image in Base64 format, and the workflow instantly converts it into a binary file. Sends it Back to You: The final, high-quality image is sent directly back to you in the same WhatsApp chat. Nodes Used 🟢 WhatsApp Trigger: The entry point that listens for incoming messages. 🧠 LangChain Chain (LLM): Uses Gemini 2.5 Pro for advanced prompt engineering. ➡️ HTTP Request: Calls the Google Gemini 2.0 Flash API to generate the image. 🔄 Convert to File: Converts the Base64 image data into a sendable file format. 💬 WhatsApp: Sends the final image back to the user. Prerequisites To use this workflow, you will need: An n8n instance. A WhatsApp Business Account connected to n8n. You can find instructions on how to set this up in the n8n docs. A Google Gemini API Key. You can get one for free from Google AI Studio. How to use this workflow Get your Google Gemini API Key: Visit the Google AI Studio and create a new API key. Configure the Gemini 2.5 Pro Node: In the n8n workflow, select the Gemini 2.5 Pro node. Under 'Connect your account', click 'Create New' to add a new credential. Paste your Gemini API key from the previous step and save. Configure the Generate Image (HTTP Request) Node: Select the Generate Image node. In the properties panel on the right, find the Query Parameters section. In the 'Value' field for the key parameter, replace "Your API Key" with your actual Google Gemini API Key. Connect WhatsApp: Select the WhatsApp Trigger node. Follow the instructions to connect your WhatsApp Business Account credential. If you haven't created one, the node will guide you through the process. Activate and Test: Save the workflow using the button at the top right. Activate the workflow using the toggle switch. Send a message to your connected WhatsApp number (e.g., "A futuristic city in the style of Van Gogh"). The bot will process your request and send a stunning AI-generated image right back to you\!
By Harsh ManiyaCapture website form submissions to Notion CRM database
⚡️ How It Works This workflow captures form submissions from your website, formats the data, and automatically creates a new entry in your Notion CRM database. It eliminates manual copy-pasting and keeps your leads or requests organised in one place. 🛠 Setup Steps Webhook Node • Create a webhook in n8n. • Connect your website form to POST submissions to this webhook URL. Code Node • Formats the incoming data to match your Notion database structure. • You can customise the fields in the code to suit your specific form inputs. Notion Node (Create Page) • Connect your Notion account. • Choose your target database. • Map each field from the Code node output to your Notion database properties. Test • Submit a test form entry. • Confirm the data appears correctly in Notion. ⸻ 👥 Who It’s For ✅ Freelancers collecting project inquiries ✅ Agencies managing client onboarding forms ✅ Business owners wanting organised lead capture ✅ Teams that use Notion as their central CRM or task manager ✅ Anyone tired of manually transferring form data into Notion
By David OlusolaGenerate company stories from LinkedIn with Bright Data & Google Gemini
Who this is for? The LinkedIn Company Story Generator is an automated workflow that extracts company profile data from LinkedIn using Bright Data's web scraping infrastructure, then transforms that data into a professionally written narrative or story using a language model (e.g., OpenAI, Gemini). The final output is sent via webhook notification, making it easy to publish, review, or further automate. This workflow is tailored for: Marketing Professionals: Seeking to generate compelling company narratives for campaigns. Sales Teams: Aiming to understand potential clients through summarized company insights. Content Creators: Looking to craft stories or articles based on company data. Recruiters: Interested in obtaining concise overviews of companies for talent acquisition strategies. What problem is this workflow solving? Manually gathering and summarizing company information from LinkedIn can be time-consuming and inconsistent. This workflow automates the process, ensuring: Efficiency: Quick extraction and summarization of company data. Consistency: Standardized summaries for uniformity across use cases. Scalability: Ability to process multiple companies without additional manual effort. What this workflow does The workflow performs the following steps: Input Acquisition: Receives a company's name or LinkedIn URL as input. Data Extraction: Utilizes Bright Data to scrape the company's LinkedIn profile. Information Parsing: Processes the extracted HTML content to retrieve relevant company details. Summarization: Employs AI Google Gemini to generate a concise company story. Output Delivery: Sends the summarized content to a specified webhook or email address. Setup Sign up at Bright Data. Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions. In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication). The Value field should be set with the Bearer XXXXXXXXXXXXXX. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token. In n8n, configure the Google Gemini(PaLM) Api account with the Google Gemini API key (or access through Vertex AI or proxy). Update the LinkedIn URL by navigating to the Set LinkedIn URL node. Update the Webhook HTTP Request node with the Webhook endpoint of your choice. How to customize this workflow to your needs Input Variations: Modify the Set LinkedIn URL node to accept a different company LinkedIn URL. Data Points: Adjust the HTML Data Extractor Node to retrieve additional details like employee count, industry, or headquarters location. Summarization Style: Customize the AI prompt to generate summaries in different tones or formats (e.g., formal, casual, bullet points). Output Destinations: Configure the output node to send summaries to various platforms, such as Slack, CRM systems, or databases.
By Ranjan DailataCreate images from text prompts using HeraNathalie model and Replicate
This workflow provides automated access to the Digitalhera Heranathalie AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Digitalhera Heranathalie model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities Advanced processing and generation features Custom AI-powered automation tools Tools Used n8n: The automation platform that orchestrates the workflow Replicate API: Access to the Digitalhera/heranathalie AI model Digitalhera Heranathalie: The core AI model for other generation Built-in Error Handling: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing: Handle specific AI tasks and workflows Custom Automation: Implement unique business logic and processing Data Processing: Transform and analyze various types of data AI Integration: Add AI capabilities to existing systems and workflows Connect with Me Website: https://www.nofluff.online YouTube: https://www.youtube.com/@YaronBeen/videos LinkedIn: https://www.linkedin.com/in/yaronbeen/ Get Replicate API: https://replicate.com (Sign up to access powerful AI models) n8n automation ai replicate aiautomation workflow nocode aiprocessing dataprocessing machinelearning artificialintelligence aitools automation digitalart contentcreation productivity innovation
By Yaron Been