Workflow Templates

Turn your code commits into engaging social media content automatically. This workflow monitors a GitHub repository, uses AI to write a LinkedIn post about your changes, generates a beautiful "Mac-window" style image of your code, and publishes it all to LinkedIn. How it works GitHub Trigger: Watches for new push events in your selected repository. AI Analysis: Passes the code changes to an LLM (via LangChain) to write a professional LinkedIn post and select the best code snippet. Image Generation: Creates a custom HTML view of your code (with syntax highlighting and window controls) and converts it to an image using the HCTI API. Hosting & Posting: Uploads the generated image back to GitHub for hosting, then combines the text and image to publish a live post on LinkedIn. Set up steps Configure Credentials: You will need credentials for: GitHub (OAuth2 or Access Token) LinkedIn (OAuth2) OpenRouter (or swap the model node for OpenAI/Anthropic) HCTI.io (for the HTML-to-Image conversion) Update GitHub Nodes: In the Trigger node: Set your Owner and Repository. In the File Download node: Set the same Owner and Repository. In the Upload Image node: Set the target repo where you want images stored. Update LinkedIn Node: Add your LinkedIn Person URN in the Person field.

Automate your Instagram growth strategy by generating and posting viral Reels using AI and Creatomate. This workflow plans content topics based on trends, generates video assets, and handles the approval and posting process—all without manual video editing. How it works Schedule Trigger: Runs every day at 9:00 AM. Topic Planning: Checks past topics from Google Sheets to avoid duplicates, then uses OpenAI (GPT-4o) to generate a new quiz-style content plan. Video Generation: Uses Creatomate to generate a video based on a template, dynamically inserting the AI-generated text and images. Approval Loop: Sends the generated video to Slack for human review. Posting: Once approved in Slack, the workflow automatically uploads the Reel to Instagram. Logging: Saves the new topic to Google Sheets and notifies Slack upon successful publication. Setup steps Configure Credentials: OpenAI: For generating content plans. Creatomate: For video rendering. Google Sheets: For tracking past topics. Slack: For approval notifications. Facebook Graph API: For Instagram publishing. Google Sheets Setup: Create a Google Sheet with columns: Question, Answer, Title, Date. Update the Get Past Topics and Save New Topic nodes with your Sheet ID. Creatomate Setup: Create a template in Creatomate or use an existing one. Update the Generate Video node with your template_id in the JSON body. Slack Setup: Create a channel for approvals. Update the Slack Approval Request and Slack Notification nodes with your Channel ID. Activate: Turn on the workflow to start automating your content pipeline!

How it works Courier sends an invoice photo to WhatsApp → AI extracts all details via Google Vision OCR Courier sends a payment photo (check, bank transfer, credit card voucher) → AI matches it to the invoice AI presents a summary and asks for confirmation Once approved — receipt is created in Rivhit, invoice is closed, and the PDF is sent back to WhatsApp Supports cash, checks, credit cards, bank transfers, and split payments. Includes automatic customer lookup by tax ID and Israeli bank code recognition. Set up steps Takes about 10 minutes: Set up a WAHA instance and point its webhook to this workflow Add your Google Cloud Vision API key to the HTTP Request node Add your Rivhit API token to the "api key" Set node Replace the WhatsApp group ID in the Filter node with yours Connect your OpenAI credentials Activate and start sending photos! See the sticky notes inside the workflow for detailed instructions.

How It Works This workflow automates hospital operational event management by intelligently processing incoming events and orchestrating appropriate responses across multiple hospital systems. Designed for hospital operations managers, healthcare IT teams, and clinical administrators, it solves the complex challenge of coordinating rapid responses to diverse hospital events including patient admissions, equipment alerts, staffing emergencies, and clinical escalations. The system receives event triggers via webhook, uses AI-powered orchestration to analyze event context and determine required actions, then intelligently routes tasks to appropriate systems including appointment scheduling, task management, and insurance verification. It calculates priority scores, assigns tasks, verifies insurance coverage, and merges results while masking sensitive PHI data for compliance. The workflow leverages Anthropic's Claude and multiple AI tools to ensure context-aware decision-making aligned with hospital protocols. Setup Steps Configure webhook URL endpoint for hospital event system integration Set up Anthropic API credentials for Claude model access in orchestration agent Configure Hospital Orchestration Agent Tool with your facility's event protocols Connect Schedule Appointment API with hospital scheduling system credentials Set up Task Management API integration for staff assignment system Configure Insurance Verification API with payer network access credentials Prerequisites Active Anthropic API account, hospital event management system with webhook capability Use Cases Patient admission coordination, equipment failure response, code blue orchestration Customization Modify orchestration agent prompts for facility-specific protocols Benefits Reduces event response time by 75%, ensures consistent protocol adherence

This n8n template from Intuz provides a complete solution to automate a powerful, AI-driven 'Chat with your PDF' bot on Telegram. It uses Retrieval-Augmented Generation (RAG) to allow users to upload documents, which are then indexed into a vector database, enabling the bot to answer questions based only on the provided content. Who's this workflow for? Researchers & Students Legal & Compliance Teams Business Analysts & Financial Advisors Anyone needing to quickly find information within large documents How it works This workflow has two primary functions: indexing a new document and answering questions about it. 1. Uploading & Indexing a Document: A user sends a PDF file to the Telegram bot. n8n downloads the document, extracts the text, and splits it into small, manageable chunks. Using Google Gemini, each text chunk is converted into a numerical representation (an "embedding"). These embeddings are stored in a Pinecone vector database, making the document's content searchable. The bot sends a confirmation message to the user that the document has been successfully saved. 2. Asking a Question (RAG): A user sends a regular text message (a question) to the bot. n8n converts the user's question into an embedding using Google Gemini. It then searches the Pinecone database to find the most relevant text chunks from the uploaded PDF that match the question. These relevant chunks (the "context") are sent to the Gemini chat model along with the original question. Gemini generates a new, accurate answer based only on the provided context and sends it back to the user in Telegram. Key Requirements to Use This Template 1. 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. 2. Telegram Account: A Telegram bot created via the BotFather, along with its API token. 3. Google Gemini AI Account: A Google Cloud account with the Vertex AI API enabled and an associated API Key. 4. Pinecone Account: A Pinecone account with an API key. You must have a vector index created in Pinecone. For use with Google Gemini's embedding-001 model, the index must be configured with 768 dimensions. Setup Instructions 1. Telegram Configuration: In the "Telegram Message Trigger" node, create a new credential and add your Telegram bot's API token. Do the same for the "Telegram Response" and "Telegram Response about Database" nodes. 2. Pinecone Configuration: In both "Pinecone Vector Store" nodes, create a new credential and add your Pinecone API key. In the "Index" field of both nodes, enter the name of your pre-configured Pinecone index (e.g., telegram). 3. Google Gemini Configuration: In all three Google Gemini nodes (Embeddings Google Gemini, Embeddings Google Gemini1, and Google Gemini Chat Model), create a new credential and add your Google Gemini (Palm) API key. 4. Activate and Use: Save the workflow and toggle the "Active" switch to ON. To use: First, send a PDF document to your bot. Wait for the confirmation message. Then, you can start asking questions about the content of that PDF. 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

This workflow transforms any video you drop into a Google Drive folder into a ready-to-publish YouTube upload. It analyzes the video with AI to craft 3 high-CTR title ideas, 3 long SEO-friendly descriptions (with timestamps), and 10–15 optimized tags. It then generates 4 thumbnail options using your face and lets you pick your favorite before auto-publishing to YouTube via Upload-Post. Who Is This For? YouTube Creators & Editors:** Ship videos with winning titles, thumbnails, and SEO in minutes. Agencies & Media Teams:** Standardize output and speed across channels and clients. Founders & Solo Makers:** Maintain consistent publishing with minimal manual work. What Problem Does It Solve? Producing SEO metadata and high-performing thumbnails is slow and inconsistent. This flow: Generates High-CTR Options:** 3 distinct angles for title/description/tags. Creates Thumbnails with Your Face:** 4 options ready for review in one pass. Auto-Publishes Safely:** Human selection gates reduce risk before going live. How It Works Google Drive Trigger: Watches a folder for new video files. AI Video Analysis (Gemini): Produces an in-depth Spanish description and timestamps. Concept Generation: Returns 3 JSON concepts (title, thumbnail prompt, description, tags). User Review #1: Pick your favorite concept in a simple form. Thumbnail Generation (fal.ai): Creates 4 thumbnails using your face (provided image URL). User Review #2: Choose the best thumbnail. Upload to YouTube (Upload-Post): Publishes the video with your chosen title, description, tags, and thumbnail. Setup Credentials (all offer free trials, no credit card required): Google Gemini (chat/vision for analysis) fal.ai API (thumbnail generation) Upload-Post ( Connect your Youtube channel and generate api keys) Google Drive OAuth (folder watch + file download) Provide Your Face Image URL(s): Used by fal.ai to integrate your face into thumbnails. Select the Google Drive Folder: Where you’ll drop videos to process. Pick & Publish: Use the built-in forms to choose concept and thumbnail. Requirements Accounts:** Google (Drive + Gemini), fal.ai, Upload-Post, n8n. API Keys:** Gemini, fal.ai; Upload-Post credentials; Google Drive OAuth. Assets:** At least one clear face image for thumbnails. Features Three SEO Angles:** Distinct title/description sets to test different intents. Rich Descriptions with Timestamps:** Ready for YouTube SEO and viewer navigation. Face-Integrated Thumbnails:** 4 options aligned with the selected title. Human-in-the-Loop Controls:** Approve concepts and thumbnails before publishing. Auto-Publish via Upload-Post:** One click to push live to YouTube. Start Free:** All API calls can run on free trials, no credit card required. Video demo https://www.youtube.com/watch?v=EOOgFveae-U

Generate AI Voiceovers from Scripts and Upload to Google Drive This is the final piece of the AI content factory. This workflow takes your text-based video scripts and automatically generates high-quality audio voiceovers for each one, turning your text into ready-to-use audio assets for your video ads. Go from a spreadsheet of text to a folder of audio files, completely on autopilot. ⚠️ CRITICAL REQUIREMENTS (Read First!) This is an advanced, self-hosted workflow that requires specific local setup: Self-Hosted n8n Only:** This workflow uses the Execute Command and Read/Write Files nodes, which requires you to run your own instance of n8n. It will not work on n8n Cloud. FFmpeg Installation:** You must have FFmpeg installed on the same machine where your n8n instance is running. This is used to convert the audio files to a standard format. What it does This is Part 3 of the AI marketing series. It connects to the Google Sheet where you generated your video scripts (in Part 2). For each script that hasn't been processed, it: Uses the Google Gemini Text-to-Speech (TTS) API to generate a voiceover. Saves the audio file to your local computer. Uses FFmpeg to convert the raw audio into a standard .wav file. Uploads the final .wav file to your Google Drive. Updates the original Google Sheet with a link to the audio file in Drive and marks the script as complete. How to set up IMPORTANT: This workflow is Part 3 of a series and requires the output from Part 2 ("Generate AI Video Ad Scripts"). If you need Part 1 or Part 2 of this workflow series, you can find them for free on my n8n Creator Profile. Connect to Your Scripts Sheet: In the "Getting Video Scripts" node, connect your Google Sheets account and provide the URL to the sheet containing your generated video scripts from Part 2. Configure AI Voice Generation (HTTP Request): In the "HTTP Request To Generate Voice" node, go to the Query Parameters and replace INSERT YOUR API KEY HERE with your Google Gemini API key. In the JSON Body, you can customize the voice prompt (e.g., change <INSERT YOUR DESIRED ACCENT HERE>). Set Your Local File Path: In the first "Read/Write Files from Disk" node, update the File Name field to a valid directory on your local machine where n8n has permission to write files. Replace /Users/INSERT_YOUR_LOCAL_STORAGE_HERE/. Connect Google Drive: In the "Uploading Wav File" node, connect your Google Drive account and choose the folder where your audio files will be saved. Update Your Tracking Sheet: In the final "Uploading Google Drive Link..." node, ensure it's connected to the same Google Sheet from Step 1. This node will update your sheet with the results. Name and Description for Submission Form Here are the name and description, updated with the new information, ready for you to copy and paste. Name: Generate AI Voiceovers from Scripts and Upload to Google Drive Description: Welcome to the final piece of the AI content factory! 🔊 This advanced workflow takes the video ad scripts you've generated and automatically creates high-quality audio voiceovers for each one, completing your journey from strategy to ready-to-use media assets. ⚠️ This is an advanced workflow for self-hosted n8n instances only and requires FFmpeg to be installed locally. ⚙️ How it works This workflow is Part 3 of a series. It reads your video scripts from a Google Sheet, then for each script it: Generates a voiceover using the Google Gemini TTS API. Saves the audio file to your local machine. Converts the file to a standard .wav format using FFmpeg. Uploads the final audio file to Google Drive. Updates your Google Sheet with a link to the new audio file. 👥 Who’s it for? Video Creators & Marketers: Mass-produce voiceovers for video ads, tutorials, or social media content without hiring voice actors. Automation Power Users: A powerful example of how n8n can bridge cloud APIs with local machine commands. Agencies: Drastically speed up the production of audio assets for client campaigns. 🛠️ How to set up This workflow requires specific local setup due to its advanced nature. IMPORTANT: This is Part 3 of a series. To find Part 1 ("Generate a Strategic Plan") and Part 2 ("Generate Video Scripts"), please visit my n8n Creator Profile where they are available for free. Setup involves connecting to your scripts sheet, configuring the AI voice API, setting a local file path for n8n to write to, and connecting your Google Drive.

This workflow automates your daily social media content creation by generating unique, on-brand posts based on specific themes stored in Notion. It creates images using Fal.ai, writes captions with OpenAI, and schedules them to multiple platforms via Postiz. 📺 How It Works Daily Trigger: The workflow runs automatically every day at a set time. Context Fetching: It pulls your "Brand Guidelines" and the specific "Post Theme" for the day (e.g., Expert Advice, System, or Activity) from Notion. Image Generation: It uses OpenAI to craft a detailed image prompt based on the theme, then sends it to Fal.ai to generate a high-quality visual. Caption Writing: It uses OpenAI again to write an engaging caption that adheres to your brand voice. Scheduling: Finally, it uploads the media to Postiz and schedules it for publication on LinkedIn, X (Twitter), Facebook, and Instagram. 🔧 How to set up Notion: Create a "Brand Guidelines" database and a "Post Themes" database. Configure Nodes: Update the Notion nodes in the workflow to point to your specific Database IDs. Credentials: Connect your accounts for OpenAI, Fal.ai, Google Drive, Notion, and Postiz. Postiz IDs: In the final HTTP Request nodes, replace the integration_id fields with the specific IDs from your Postiz account for each social platform. 📋 Requirements n8n (Self-hosted or Cloud) Notion account OpenAI API Key Fal.ai API Key Postiz instance (or account) Google Drive account (for temporary image storage)

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Multi Platform Content Generator from YouTube using AI & RSS This workflow automates content generation by monitoring YouTube channels, extracting transcripts via AI, and creating platform-optimized content for LinkedIn, X/Twitter, Threads, and Instagram. Ideal for creators, marketers, and social media managers aiming to scale content production with minimal effort. ✨ Key Features 🔔 Automated YouTube Monitoring** via RSS feed 🧠 AI-Powered Transcript Extraction** using Supadata API ✍️ Multi-Platform Content Generation** with OpenRouter AI 🎯 Platform Optimization** based on tone and character limits 📬 Telegram Notification** for easy preview 📊 Centralized Data Management via Google Sheets** > 🗂️ All video data, summaries, and generated content are tracked and stored in a single, centralized Google Sheets template > This ensures full visibility, easy access, and smooth collaboration across your team. ⚙️ Workflow Components 1. 🧭 Channel Monitoring Schedule Trigger**: Initiates workflow periodically Google Sheets (Read)**: Pulls YouTube channel URLs HTTP Request + HTML Parser**: Extracts channel IDs from URLs RSS Reader**: Fetches latest video metadata 2. 🧾 Content Processing Supadata API**: Extracts transcript from YouTube video OpenRouter AI**: Summarizes transcript + generates content per platform Conditional Check**: Prevents duplicate content by checking existing records 3. 📤 Multi-Platform Output LinkedIn**: Story-driven format (≤ 1300 characters) X/Twitter**: Short, punchy copy (≤ 280 characters) Threads**: Friendly, conversational Instagram**: Short captions for visual posts 4. 🗃️ Data Management Google Sheets (Write)**: Stores video metadata + generated posts Telegram Bot**: Sends content preview ID Tracking**: Avoids reprocessing using video ID 🔐 Required Credentials Google Sheets OAuth2** Supadata API** OpenRouter API** Telegram Bot Token & Chat ID** 🎁 Benefits ⌛ Save Time**: Automates transcript + content generation 🔊 Consistent Tone**: Adjust AI prompts for brand voice 📡 Multi-Platform Ready**: One video → multiple formats 📂 Centralized Logs via Google Sheets**: Easily track, audit, and collaborate 🚀 Scalable**: Handle many channels with ease

Overview This n8n template automates the entire process of generating short-form AI videos and publishing them across multiple social media platforms. It combines Google Gemini for structured prompt creation, KIE AI for video generation, and Blotato for centralized publishing. The result is a fully automated content pipeline ideal for creators, marketers, agencies, or anyone who wants consistent, hands-free content generation. This workflow is especially useful for short-video creators, meme pages, educational creators, UGC teams, auto-posting accounts, and brands who want to maintain high-frequency posting without manual effort. Good to Know API costs:** KIE AI generates videos using paid tokens/credits. Prices vary based on model, duration, and resolution (check KIE AI pricing). Google Gemini model restrictions:** Certain Gemini models are geo-limited. If you receive “model not found,” the model may not be available in your region. Blotato publishing:** Blotato supports many platforms: YouTube, Instagram, Facebook, LinkedIn, TikTok, X, Bluesky, and more. Platform availability depends on your Blotato setup. Runtime considerations:** Video generation can take time (10–60 seconds+, depending on the complexity). Self-hosted requirement:** This workflow uses a community node (Blotato). Community nodes do not run on n8n Cloud. A self-hosted instance is required. How It Works Scheduler Trigger Defines how frequently new videos should be created (e.g., every 12 hours). Random Template Selector A JavaScript node generates a random number to choose from multiple creative prompt templates. AI Agent (Google Gemini) Gemini generates a JSON object containing: A short title A human-readable video description A detailed text-to-video prompt The Structured Output Parser ensures strict JSON shape. Video Generation with KIE AI The prompt is sent to KIE AI’s video generation API. KIE AI creates a synthetic AI video based on the description and your chosen parameters (aspect ratio, frames, watermark removal, etc.). Polling & Retrieval The workflow waits until the video is fully rendered, then fetches the final video URL. Media Upload to Blotato The generated video is uploaded into Blotato’s media storage for publishing. Automatic Posting to Social Platforms Blotato distributes the video to all connected platforms. Examples include: YouTube Instagram Facebook LinkedIn Bluesky TikTok X Any platform supported by your Blotato account This results in a fully automated “idea → video → upload → publish” pipeline. How to Use Start by testing the workflow manually to verify video generation and posting. Adjust the Scheduler Trigger to fit your posting frequency. Add your API credentials for: Google Gemini KIE AI Blotato Ensure your Blotato account has social channels connected. Edit or expand the prompt templates for your content niche: Comedy clips Educational videos Product demos Storytelling Pet videos Motivational content The more template prompts you add, the more diverse your automated videos will be. Requirements Google Gemini** API Key Used for generating structured titles, descriptions, and video prompts. KIE AI API key** Required for creating the actual AI-generated video. Blotato account** Required for uploading media and automatically posting to platforms. Self-hosted n8n instance** Needed because Blotato uses a community node, which n8n Cloud does not support. Limitations KIE AI models may output inconsistent results if prompts are vague. High-frequency scheduling may consume API credits quickly. Some platforms (e.g., TikTok or Facebook Pages) may require additional permissions or account linking steps in Blotato. Video rendering time varies depending on prompt complexity. Customization Ideas Add more prompt templates to increase variety. Swap Gemini for an LLM of your choice (OpenAI, Claude, etc.). Add a Telegram, Discord, or Slack notification once posting is complete. Store all generated titles, descriptions, and video URLs in: Google Sheets Notion Airtable Supabase Add multi-language support using a translation node. Add an approval step where videos go to your team before publishing. Add analytics logging (impressions, views, etc.) using Blotato or another service. Troubleshooting Video not generating?** Check if your KIE AI model accepts your chosen parameters. Model not found?** Switch to a supported Gemini model for your region. Publishing fails?** Ensure Blotato platform accounts are authenticated. Workflow stops early?** Increase the wait timeout before polling KIE AI. This template is designed for easy setup and high flexibility. All technical details, configuration steps, and workflow logic are already included in sticky notes inside the workflow. Once configured, this pipeline becomes a hands-free AI-powered content engine capable of generating and publishing content at scale.

Who’s it for Content/SEO teams who want a fast, consistent, research-driven brief for a copywriters from a single keyword—without manual review and analysis of the SERP (Google results). How it works / What it does Form Trigger collects the keyword/topic and redirects to Google Drive Folder after the final node. FireCrawl Search & Scrape pulls the top 5 pages for the chosen keyword. AI Agent (with Think + OpenAI Chat Model) analyzes sources and generates an original Markdown brief. Markdown to JSON converts the Markdown into Google Docs batchUpdate requests (H1/H2/H3, lists, links, spacing). Then this is used in Update a document for updating the empty doc. Create a document + Update a document write a Google Doc titled “SEO Brief for ” and update the Google Doc in your target Drive folder. How to set up Add credentials: Firecrawl (Authorization header), OpenAI (Chat), Google Docs OAuth2. Replace placeholders: {{APIKEY}}, {{googledrivefolderid}}, {{googledrivefolderurl}}. Publish and open the Form URL to test. Requirements Firecrawl API key • OpenAI API key • Google account with access to the target Drive folder. Resources Google OAuth2 Credentials Setup - https://docs.n8n.io/integrations/builtin/credentials/google/oauth-generic/ Firecrawl API key - https://take.ms/lGcUp OpenAI API key - https://docs.n8n.io/integrations/builtin/credentials/openai/

This workflow acts as an automated market analyst for educational purposes. It scans Binance Futures (Testnet) for high-volume pairs, applies custom technical analysis (RSI, Bollinger Bands, EMA, ATR) using JavaScript, and uses AI to validate trends against recent news sentiment. It is designed for paper trading to demonstrate how to build advanced financial logic and adaptive risk management systems in n8n without risking real funds. 💡 Why use this? Smart Scanning:** Automatically filters top 150 pairs by volume and excludes stablecoins to find active markets. Dynamic Risk Management:* Uses *ATR (Average True Range)** to calculate adaptive Stop Loss and Take Profit levels based on current market volatility. Custom Technical Analysis:** Demonstrates how to calculate complex indicators via a Function node, eliminating the need for paid TA APIs. AI Sentiment Filter:** Scrapes recent news and uses an LLM (OpenAI) to "vet" the technical signal against potential FUD or risks. Secure Execution:** Shows how to sign HMAC SHA256 requests manually to interact with the Binance Futures API. ⚙️ How it works Filter: Runs every 15 minutes to find liquid assets on Binance. Calculate: Computes indicators (EMA 200, BB, RSI) and defines Entry/Exit points using ATR logic. Validate: If a technical signal matches, it fetches news and asks AI: "Is there any breaking news that contradicts this trade?" Execute: If AI returns "CONFIRM", it posts the detailed analysis to Telegram and places a paper trade order on the Testnet. 🛠 Setup Steps Binance Testnet: Create a free account on Binance Futures Testnet and generate API keys. Configuration: Open the 📝 MAIN CONFIG node and enter your Testnet Keys and Telegram Channel ID. Credentials: Add your OpenAI (or OpenRouter) credentials to the AI node. > Disclaimer: This workflow connects to the Binance Testnet by default. It is intended for educational purposes only. The author and n8n are not responsible for financial decisions.