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 WillsAutomate call scheduling with Voice AI receptionist using Vapi, Google Calendar & Airtable
Who is this template for? This template is ideal for small businesses, agencies, and solo professionals who want to automate appointment scheduling and caller follow-up through a voice-based AI receptionist. If youβre using tools like Google Calendar, Airtable, and Vapi (Twilio), this setup is for you. What problem does this workflow solve? Manual call handling, appointment booking, and email coordination can be time-consuming and prone to errors. This workflow solves that by automating the receptionist role: answering calls, checking calendar availability, managing appointments, and storing call summariesβall without human intervention. What this workflow does This Agent Receptionist manages inbound voice calls and scheduling tasks using Vapi and Google Calendar. It checks availability, books or updates calendar events, sends email confirmations, and logs call details into Airtable. The workflow includes built-in logic for slot management, email triggers, and storing call transcripts. Setup Instructions Duplicate Airtable Base: Use this Airtable base templateBASE LINK Import Workflow: Load provided JSON into your n8n instance. Credentials: Connect your Google Calendar and Airtable credentials in n8n. Activate Workflow: Enable workflow to get live webhook URLs. Vapi Configuration: Paste provided system prompt into Vapi Assistant. Link the appropriate webhook URLs from n8n (GetSlots, BookSlots, UpdateSlots, CancelSlots, and end-of-call report). Disclaimer Optimized for cloud-hosted n8n instances. Self-hosted users should verify webhook and credential setups.
By SuperAgentNutrition tracker & meal logger with Telegram, Gemini AI and Google Sheets
π€π₯ Telegram Nutrition AI Assistant (Alternative to Cal AI App) > AI-powered nutrition assistant for Telegram β log meals, set goals, and get personalized daily reports with Google Sheets integration. π Description This n8n template creates a Telegram-based Nutrition AI Assistant π₯π₯ designed as an open-source alternative to the Cal AI mobile app. It allows users to interact with an AI agent via text, voice, or images to track meals, calculate macros, and monitor nutrition goals directly from Telegram. The system integrates Google Sheets as the database, handling both user profiles and meal logs, while leveraging Gemini AI for natural conversation, food recognition, and daily progress reports. β¨ Key Features π¬ Multi-input support: Text, voice messages (transcribed), and food images (AI analysis). π Macro calculation: Automatic estimation of calories, proteins, carbs, and fats. π User-friendly registration: Simple onboarding without storing personal health data (no weight/height required). π― Goal tracking: Users can set and update calorie and protein targets. π Daily reports: Personalized progress messages with visual progress bars. π Google Sheets integration: Profile table for user targets. Meals table for food logs. π Advanced n8n nodes: Includes use of Merge, Subworkflow, and Code nodes for data processing and report generation. π‘ Acknowledgment Inspired by the Cal AI concept π‘ β this template demonstrates how to reproduce its main functionality with n8n, Telegram, and AI agents as a flexible, open-source automation workflow. π· Tags telegram ai-assistant nutrition meal-tracking google-sheets food-logging voice-transcription image-analysis daily-reports n8n-template merge-node subworkflow-node code-node telegram-trigger google-gemini πΌ Use Case Use this template if you want to: π₯ Log meals using text, images, or voice messages. π Track nutrition goals (calories, proteins) with daily progress updates. π€ Provide a chat-based nutrition assistant without building a full app. π Store structured nutrition data in Google Sheets for easy access and analysis. π¬ Example User Interactions πΈ User sends a photo of a meal β AI analyzes the food and logs calories/macros. π€ User sends a voice message β AI transcribes and logs the meal. β¨οΈ User types βreportβ β AI returns a daily nutrition summary with progress bars. π₯ User says βupdate my protein goalβ β AI updates profile in Google Sheets. π Required Credentials Telegram Bot API (Bot Token) Google Sheets API credentials AI Provider API (Google Gemini or compatible LLM) βοΈ Setup Instructions π Create two Google Sheets tables: Profile: UserID, Name, Caloriestarget, Protein_target Meals: UserID, Date, Mealdescription, Calories, Proteins, Carbs, Fats π Configure the Telegram Trigger with your bot token. π€ Connect your AI provider credentials (Gemini recommended). π Connect Google Sheets with your credentials. βΆοΈ Deploy the workflow in n8n. π― Start interacting with your nutrition assistant via Telegram. π Extra Notes π© Green section: Handles Telegram trigger and user check. π₯ Red section: Registers new users and sets goals. π¦ Blue section: Processes text, voice, and images. π¨ Yellow section: Generates nutrition reports. πͺ Purple section: Main AI agent controlling tools and logic. --- π‘ Need Assistance? If youβd like help customizing or extending this workflow, feel free to reach out: π§ Email: johnsilva11031@gmail.com π LinkedIn: John Alejandro Silva RodrΓguez
By John Alejandro SIlvaExtract text from PDF and image using Vertex AI (Gemini) into CSV
Case Study I'm too lazy to record every transaction for my expense tracking. Since all my expenses are digital, I just extract the transactions from bank PDF statements and screenshots into CSV to import into my budgeting software. Click here to watch Youtube tutorial What this workflow does Upload your PDF or screenshots into Google Drive It then passes the PDF/image to Vertex Gemini to do some A.I. image recognition It then sends the transactions as CSV and stores it into another Google Drive folder Setup Set up 2 google drive folders. 1 for uploading and 1 for the output. Input your Google Drive crendtials Input your Vertex Gemini credentials How to adjust it to your needs You can upload other types of documents for information extraction. You can extract any text data from any image or PDF You can adjust the A.I. prompt to do different things
By Keith RumjahnA very simple "Human in the Loop" email response system using AI and IMAP
Functionality This workflow automates the handling of incoming emails by summarizing their content, generating appropriate responses, and validating the responses through a "Human-in-the-Loop" system. It integrates with IMAP email services (e.g., Gmail, Outlook) and uses AI models to streamline the email response process. The workflow ensures that all AI-generated responses are reviewed by a human before being sent, maintaining a high level of professionalism and accuracy. This approach is particularly useful for businesses that receive a high volume of emails and need to respond quickly while ensuring quality control. --- How It Works Email Trigger: The workflow starts with the Email Trigger (IMAP) node, which monitors an email inbox for new messages. When a new email arrives, it triggers the workflow. Email Preprocessing: The Markdown node converts the email's HTML content into plain text for easier processing by the AI models. Email Summarization: The Email Summarization Chain node uses an AI model (OpenAI) to generate a concise summary of the email. The summary is limited to 100 words and is written in a professional tone. Email Response Generation: The Write email node uses an AI model (OpenAI) to draft a professional response to the email. The response is based on the email content and is limited to 100 words. Human-in-the-Loop Approval: The Set Email text node prepares the drafted response for approval. The Approve Email node sends the drafted response to a human approver (e.g., an internal email address) for review. The email includes: The original message. The AI-generated response. The Approved? node checks if the response has been approved by the human reviewer. If approved, the workflow proceeds to send the response; otherwise, it stops. Sending the Response: The Send Email node sends the approved response back to the original sender. --- Key Features Automated Email Summarization: Summarizes incoming emails to provide a quick overview of the content. AI-Powered Response Generation: Drafts professional responses to emails using AI. Human-in-the-Loop Approval: Ensures all AI-generated responses are reviewed and approved by a human before being sent. IMAP Integration: Works with IMAP email services like Gmail and Outlook. Efficient Email Management: Reduces the time and effort required to handle incoming emails while maintaining high-quality responses. This workflow is ideal for businesses looking to automate their email response process while maintaining control over the quality of outgoing communications. It leverages AI to handle repetitive tasks and ensures that all responses are reviewed by a human, providing a balance between automation and human oversight. --- Need help customizing? Contact me for consulting and support or add me on Linkedin.
By DavideAutomate social media posts with AI content and images across Twitter, LinkedIn & Facebook
Auto-generate & post content using AI This workflow helps you create daily content using just a topic prompt. It writes a tweet, generates an image, and publishes across Twitter, Facebook, and LinkedIn β all on autopilot. --- How it works Triggers daily at 10 PM to start the flow Uses OpenAI to generate a niche topic title Writes a short-form post (tweet style) with hashtags Generates a Japanese anime-style image for visual context Saves everything in Google Sheets Publishes automatically on Twitter, LinkedIn, and Facebook --- Set up steps Youβll need OpenAI, Google Sheets, and social media credentials (Twitter, Facebook, LinkedIn) Takes about 10β15 minutes to configure if you already have the credentials ready Make sure your Sheet and API keys are properly linked before activating π Keep detailed notes inside the workflow with sticky notes for easier handoff or collaboration.
By Abrar SamiEmail support agent w/ Gemini & GPT fallback using Gmail + Google Sheets
π§ Master Your First AI Email Agent with Smart Fallback! Welcome to your hands-on guide for building a resilient, intelligent email support system in n8n! This workflow is specifically designed as an educational tool to help you understand advanced AI automation concepts in a practical, easy-to-follow way. --- π What You'll Learn & Build: This powerful template enables you to create an automated email support agent that: Monitors Gmail for new customer inquiries in real-time. Processes requests using a primary AI model (Google Gemini) for efficiency. Intelligently falls back to a secondary AI model (OpenAI GPT) if the primary model fails or for more complex queries, ensuring robust reliability. Generates personalized and helpful replies automatically. Logs every interaction meticulously to a Google Sheet for easy tracking and analysis. --- π‘ Why a Fallback Model is Game-Changing (and Why You Should Learn It): Unmatched Reliability (99.9% Uptime): If one AI service experiences an outage or rate limits, your automation seamlessly switches to another, ensuring no customer email goes unanswered. Cost Optimization: Leverage more affordable models (like Gemini) for standard queries, reserving premium models (like GPT) only when truly needed, significantly reducing your API costs. Superior Quality Assurance: Get the best of both worlds β the speed of cost-effective models combined with the accuracy of more powerful ones for complex scenarios. Real-World Application: This isn't just theory; it's a critical pattern for building resilient, production-ready AI systems. --- π Perfect for Beginners & Aspiring Automators: Simple Setup: With drag-and-drop design and pre-built integrations, you can get this workflow running with minimal configuration. Just add your API keys! Clear Educational Value: Learn core concepts like AI model orchestration strategies, customer service automation best practices, and multi-model AI implementation patterns. Immediate Results: See your AI agent in action, responding to emails and logging data within minutes of setup. --- π οΈ Getting Started Checklist: To use this workflow, you'll need: A Gmail account with API access enabled. A Google Sheets document created for logging. A Gemini API key (your primary AI model). An OpenAI API key (your fallback AI model). An n8n instance (cloud or desktop). --- Embark on your journey to building intelligent, resilient automation systems today!
By David OlusolaWebsite content scraper & SEO keyword extractor with GPT-5-mini and Airtable
This workflow allows you to scrape website content, clean the HTML, extract structured information using GPT-5-mini, and store the results along with SEO keywords into Airtable. Ideal for building keyword lists and organizing web content for SEO research. --- Setup Instructions Prerequisites n8n Community or Cloud instance Airtable account with a base and table ready OpenAI API Key with access to GPT-5-mini --- Airtable Structure Ensure your Airtable table has the following fields: | Field Name | Type | Notes | | ------------ | ------- | ------------------------------- | | Website Name | String | Name or URL of the website | | Data | String | Cleaned website text | | Keyword | String | Extracted SEO keyword list | | Status | Options | Values: Todo, In progress, Done | --- Node Setup β Form Trigger: Collects website URL from the user. β HTTP Request: Fetches the website content. β HTML Cleaner (Code Node): Strips out styles, tags, and whitespace to get clean text. β Topic Extractor (AI Agent + GPT-5-mini): Extracts topic-wise information from the cleaned website content. β Text Cleaner (Code Node): Removes unwanted symbols like and . β Keyword Extractor (AI Agent + GPT-5-mini): Generates a list of 90 important SEO keywords. β Airtable Upsert: Stores the cleaned data, keywords, and status in Airtable. --- Key Features β Automatic website content scraping β Clean HTML and extract plain text β Use GPT-5-mini for topic-wise information extraction β Generate 90-keyword SEO lists β Store and manage data in Airtable --- Use Cases SEO Keyword Research Competitor Website Content Analysis Structured Website Data Collection --- Additional Workflow Recommendations β Rename Nodes for Clarity | Current Name | Suggested Name | | ------------ | ------------------------------- | | Website Name | Website URL Input Form | | HTTP Request | Fetch Website Content | | Code | HTML to Plain Text Cleaner | | Split Out1 | Clean Text Splitter | | AI Agent1 | Topic Extractor (GPT-5-mini) | | Code1 | Text Cleanup Formatter | | Split Out2 | Final Text Splitter | | AI Agent | Keyword Extractor (GPT-5-mini) | | Airtable | Airtable Data Upsert | | Wait1 | Delay Before Merge | | Merge | Combine Data for Airtable | ---
By Abhishek Patoliyaπ¨ Report n8n workflow errors to Telegram
Use case Error workflows are an important part of running workflows in production. Make sure to set them up for all your important workflows. The message links directly to the execution. How to setup Add Telegram creds Set chat id in Telegram node Add this error workflow to other workflows https://docs.n8n.io/flow-logic/error-handling/create-and-set-an-error-workflow
By MutasemAI-powered RAG workflow for stock earnings report analysis
This n8n workflow creates a financial analysis tool that generates reports on a company's quarterly earnings using the capabilities of OpenAI GPT-4o-mini, Google's Gemini AI and Pinecone's vector search. By analyzing PDFs of any company's earnings reports from their Investor Relations page, this workflow can answer complex financial questions and automatically compile findings into a structured Google Doc. How it works: Data loading and indexing Fetches links to PDF earnings document from a Google Sheet containing a list of file links. Downloads the PDFs from Google Drive. Parses the PDFs, splits the text into chunks, and generates embeddings using the Embeddings Google AI node (text-embedding-004 model). Stores the embeddings and corresponding text chunks in a Pinecone vector database for semantic search. Report generation with AI agent Utilizes an AI Agent node with a specifically crafted system prompt. The agent orchestrates the entire process. The agent uses a Vector Store Tool to access and retrieve information from the Pinecone database. Report delivery Saves the generated report as a Google Doc in a specified Google Drive location. Set up steps Google Cloud Project & Vertex AI API: Create a Google Cloud project. Enable the Vertex AI API for your project. Google AI API key: Obtain a Google AI API key from Google AI Studio. Pinecone account and API key: Create a free account on the Pinecone website. Obtain your API key from your Pinecone dashboard. Create an index named company-earnings in your Pinecone project. Google Drive - download and save financial documents: Go to a company you want to analize and download their quarterly earnings PDFs Save the PDFs in Google Drive Create a Google Sheet that stores a list of file URLs pointing to the PDFs you downloaded and saved to Google Drive Configure credentials in your n8n environment for: Google Sheets OAuth2 Google Drive OAuth2 Google Docs OAuth2 Google Gemini(PaLM) Api (using your Google AI API key) Pinecone API (using your Pinecone API key) Import and configure the workflow: Import this workflow into your n8n instance. Update the List Of Files To Load (Google Sheets) node to point to your Google Sheet. Update the Download File From Google Drive to point to the column where the file URLs are Update the Save Report to Google Docs node to point to your Google Doc where you want the report saved.
By Mihai FarcasBinance spot trader - limit & market orders via API
π How it works This n8n workflow allows you to interact with Binance Spot Trading API directly to: Place Limit Buy and Limit Sell orders Place Market Buy and Market Sell orders Query account info and open orders Cancel all open orders for a specific symbol All requests are signed using Binance's HMAC SHA256 signature method for secure trading. --- βοΈ Setup Steps Create Binance API Credentials in n8n: Go to Credentials > New Choose Binance API Add apikey and apisecret Save as Binance API Import this workflow into your n8n instance. Update default values: In Set Parameter nodes like LimitBuy Parameter, change: symbol (e.g. BTCUSDT) quantity, price as needed Run the workflow manually via the Execute workflow trigger. --- β Notes Credential node is marked with instructions. HMAC signatures are automatically calculated before making each request. HTTP nodes are preconfigured for Binance API v3. π No API key or secret is included.
By Todsaporn SangboonCrypto market alert system with Binance and Telegram integration
An innovative N8N workflow that monitors cryptocurrency prices on Binance, identifies significant market movements, and sends customized alerts through Telegram. Ideal for traders and enthusiasts seeking real-time market insights. [](https://www.youtube.com/embed/slGqsT_E8) How It Works Trigger Options: Choose between a manual trigger or a scheduled trigger to start the workflow. Fetch Market Data: The 'Binance 24h Price Change' node retrieves the latest 24-hour price changes for cryptocurrencies from Binance. Identify Significant Changes: The 'Filter by 10% Change rate' node filters out cryptocurrencies with price changes of 10% or more. Aggregate Data: The 'Aggregate' node combines all significant changes into a single dataset. Format Data for Telegram: The 'Split By 1K chars' node formats this data into chunks suitable for Telegram's message size limit. Send Telegram Message: The 'Send Telegram Message' node broadcasts the formatted message to a specified Telegram chat. Set Up Steps Estimated Time: About 1-5 minutes for setup. Initial Configuration: Set up a Binance API connection (Optional) and your Telegram bot credentials. Customization: Adjust the trigger according to your preference (manual or scheduled) and update the Telegram chat ID. Create Telegram bot steps:- Setting up a Telegram bot and obtaining its token involves several steps. Here's a detailed guide: Start a Chat with BotFather: Open Telegram and search for "BotFather". This is the official bot that allows you to create new bots. Start a chat with BotFather by clicking on the "Start" button at the bottom of the screen. Create a New Bot: In the chat with BotFather, type /newbot and send the message. BotFather will ask you to choose a name for your bot. This is a display name and can be anything you like. Next, you'll need to choose a username for your bot. This must be unique and end in bot. For example, mycryptoalert_bot. Receive Your Token: After you've set the name and username, BotFather will provide you with a token. This token is like a password for your bot, so keep it secure. The message will look something like this: Done! Congratulations on your new bot. You will find it at t.me/mycryptoalert_bot. You can now add a description, about section and profile picture for your bot, see /help for a list of commands. Use this token to access the HTTP API: 123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11 The token in this case is 123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11. Test Your Bot: You can find your bot by searching for its username in Telegram. Start a chat with your bot and try sending it a message. Although it won't respond yet, this step is essential to ensure it's set up correctly. Use the Token in n8n: In your n8n workflow, when setting up the Telegram node, you'll be prompted to enter credentials. Choose to add new credentials and paste the token you received from BotFather. Get Your Chat ID: To send messages to a specific chat, you need to know the chat ID. The easiest way to find this is to first message your bot, then use a bot like @userinfobot to get your chat ID. Once you have the chat ID, you can configure it in the Telegram node in your n8n workflow. Finalize Your Workflow: With the bot token and chat ID set up in n8n, your Telegram notifications should work as intended in your workflow. Remember, keep your bot token secure and never share it publicly. If your token is compromised, you can always generate a new one by chatting with BotFather and selecting /token. Example result Keywords: n8n workflow, cryptocurrency market, Binance API, Telegram bot, price alert system, automated trading signals, market analysis
By Nskha