Fully automated AI video generation & multi-platform publishing
Description This comprehensive n8n automation template orchestrates a complete end-to-end workflow for generating engaging short-form Point-of-View (POV) style videos using multiple AI services and automatically publishing them across major social media platforms. It takes ideas from a Google Sheet and transforms them into finished videos with captions, voiceovers, and platform-specific descriptions, ready for distribution. Who Is This For? Content Creators & Agencies: Mass-produce unique short-form video content for various clients or channels with minimal manual effort. Digital Marketers: Automate video content pipelines to boost online presence and engagement across multiple platforms simultaneously. Social Media Managers: Schedule and distribute consistent video content efficiently without juggling multiple tools and manual uploads. Businesses: Leverage AI to create branded video content for marketing, reducing production time and costs. What Problem Does This Workflow Solve? Creating and distributing high-quality short-form video content consistently across multiple social networks is incredibly time-consuming and resource-intensive. This workflow tackles these challenges by: Automating Idea-to-Video Pipeline: Generates video concepts, image prompts, scripts, images, video clips, and voiceovers using AI. Streamlining Video Assembly: Automatically combines generated assets into a final video using a template. Generating Platform-Optimized Descriptions: Creates relevant descriptions for posts by transcribing the final video audio. Automating Multi-Platform Publishing: Uploads the final video and description to TikTok, Instagram, YouTube, Facebook, and LinkedIn simultaneously. Reducing Manual Workload: Drastically cuts down the time and effort required for video production and distribution. Centralized Tracking: Updates a Google Sheet with results, costs, and status for easy monitoring. How It Works Trigger & Input: Runs on a daily schedule (configurable) and fetches new video ideas from a designated Google Sheet. AI Content Generation: Uses OpenAI to generate video captions and image prompts based on the idea. Uses PiAPI (Flux) to generate images from prompts. Uses PiAPI (Kling) to generate video clips from the images (Image-to-Video). Uses OpenAI to generate a voiceover script based on the captions. Uses ElevenLabs to generate voiceover audio from the script and uploads it to Google Drive. Video Assembly: Combines the generated video clips, captions, and voiceover audio using a Creatomate template to render the final video. Description Generation: Uploads the final video to Google Drive, extracts the audio using OpenAI (Whisper), and generates a social media description using OpenAI (GPT). Multi-Platform Distribution: Uses upload-post.com to upload the final video and generated description to TikTok, Instagram, YouTube, Facebook, and LinkedIn. Tracking & Notification: Updates the original Google Sheet row with output details (video link, costs, tokens used) and sends a completion notification via Discord. Setup Accounts & API Keys: Obtain accounts and generate API keys/credentials for: n8n Google Cloud Platform (for Google Sheets & Google Drive APIs + OAuth Credentials) OpenAI PiAPI ElevenLabs Creatomate upload-post.com Discord (Webhook URL) Google Sheet: Make a copy of the provided Google Sheet Template and connect it in the Load Google Sheet node. Creatomate Template: Set up a video template in Creatomate (use the provided JSON source code as a base) and note its Template ID. Configure Nodes: Enter all API Keys/Credentials in the Set API Keys node and other relevant credential sections (Google nodes, upload-post nodes, etc.). Configure Google Drive nodes (Folder IDs, Permissions). Configure the upload-post.com nodes with your user identifier and necessary platform details (e.g., Facebook Page ID). Customize AI prompts within the OpenAI nodes (Generate Video Captions, Generate Image Prompts, Generate Script, Generate Description...) if desired. Set the Discord Webhook URL in the Notify me on Discord node. Enable Google APIs: Ensure Google Drive API and Google Sheets API are enabled in your Google Cloud Project. Requirements Accounts: n8n, Google (Sheets, Drive, Cloud Platform), OpenAI, PiAPI, ElevenLabs, Creatomate, The social media api Upload-Post, Discord. API Keys & Credentials: API Keys for OpenAI, PiAPI, ElevenLabs, Creatomate, upload-post.com. Google Cloud OAuth 2.0 Credentials. Discord Webhook URL. Templates: A configured Google Sheet based on the template, a configured Creatomate video template. (Potentially) Paid Plans: Some services (OpenAI, PiAPI, Creatomate, upload-post.com) may require paid plans depending on usage volume after free trials/credits are exhausted. Use this template to build a powerful, automated video content factory, scaling your production and distribution efforts across the social media landscape.
By Juan Carlos Cavero Graciaπ€π§ AI agent chatbot + LONG TERM memory + note storage + Telegram
This workflow template creates an AI agent chatbot with long-term memory and note storage using Google Docs and Telegram integration. Google Docs Integration π n8n Google Docs Node Setup Google Credentials Telegram Integration π¬ Telegram Setup Core Features π AI Agent Integration π€ Implements a sophisticated AI agent with memory management capabilities Uses GPT-4o-mini and DeepSeek models for intelligent conversation handling Maintains context awareness through session management Memory System π§ Long-term memory storage using Google Docs Separate note storage system for specific information Window buffer memory for maintaining conversation context Intelligent memory retrieval and storage mechanisms Communication Interface π¬ Telegram integration for message handling Real-time message processing and response generation Technical Components π§ Memory Architecture π Dual storage system separating memories from notes Automated memory retrieval before each interaction Structured memory saving with timestamps AI Models π€ Primary GPT-4o-mini mini model for general interactions DeepSeek-V3 Chat for specialized processing Custom agent system with tool integration Storage Integration πΎ Google Docs integration for persistent storage Separate document management for memories and notes Automated document updates and retrievals
By Joseph LePageAI powered web scraping with Jina, Google Sheets and OpenAI : the EASY way
Purpose of workflow: The purpose of this workflow is to automate scraping of a website, transforming it into a structured format, and loading it directly into a Google Sheets spreadsheet. How it works: Web Scraping: Uses the Jina AI service to scrape website data and convert it into LLM-friendly text. Information Extraction: Employs an AI node to extract specific book details (title, price, availability, image URL, product URL) from the scraped data. Data Splitting: Splits the extracted information into individual book entries. Google Sheets Integration: Automatically populates a Google Sheets spreadsheet with the structured book data. Step by step setup: Set up Jina AI service: Sign up for a Jina AI account and obtain an API key. Configure the HTTP Request node: Enter the Jina AI URL with the target website. Add the API key to the request headers for authentication. Set up the Information Extractor node: Use Claude AI to generate a JSON schema for data extraction. Upload a screenshot of the target website to Claude AI. Ask Claude AI to suggest a JSON schema for extracting required information. Copy the generated schema into the Information Extractor node. Configure the Split node: Set it up to separate the extracted data into individual book entries. Set up the Google Sheets node: Create a Google Sheets spreadsheet with columns for title, price, availability, image URL, and product URL. Configure the node to map the extracted data to the appropriate columns.
By Derek CheungAI-powered stock analysis assistant with Telegram, Claude & GPT-4O Vision
"Ade Technical Analyst" is a dual-workflow AI system combining conversational intelligence with visual chart analysis through Telegram. The system features 11 primary nodes for conversation management and 8 secondary nodes for chart generation and analysis. Core Components: Telegram Integration: Message handling with dynamic typing indicators AI Personality: "Ade" - a financial analyst with 50+ years NYSE/LSE experience using Claude 3.5 Sonnet Chart Generation: TradingView integration via Chart-IMG API with MACD and volume indicators Visual Analysis: GPT-4O vision for technical pattern recognition Memory System: Session-based conversation context retention Target Users Individual traders seeking professional-grade analysis without subscription costs Financial advisors wanting 24/7 AI-powered client support Investment educators needing interactive learning tools Fintech companies requiring white-label analysis solutions Setup Requirements Critical Security Fix Needed: Remove hardcoded API key from Chart-IMG node immediately Store all credentials securely in n8n credential manager Required APIs: OpenRouter (Claude 3.5 Sonnet) OpenAI (GPT-4O vision) Chart-IMG API Telegram Bot Token Technical Prerequisites: n8n version 1.7+ with Langchain nodes Webhook configuration for Telegram Dual-workflow setup with proper ID referencing Workflow Requirements Security Compliance: Never hardcode API keys in workflow JSON files Use n8n credential manager for all sensitive data Implement proper session isolation for user data Include mandatory financial disclaimers Performance Specifications: Model temperature: 0.8 for balanced responses Token limit: 500 for optimized performance Dark theme charts with professional indicators Session-based memory management Need help customizing? Contact me for consulting and support or add me on LinkedIn
By Femi AdContent farming - : AI-powered blog automation for WordPress
==π₯ Upgrade to V4== Weβve released Version 4 of our AI Powered Blog Automation workflow. We heard your complains and made a complete redesign built for serious content creators. ChatGPT 5, Inbound Links, Verified Outbound Links,YOAST seo integration, Company profile, higher SEO ranking, banner images using companys mascot, FAQ sections and conclusions, 35% cost reduction, π Read the New Articles published by Content Farming v4 π View the updated and improved v4 workflow Content Farming V2 AI Powered Blog Automation for WordPress This workflow automatically generates and publishes 10 blog posts per day to a WordPress site. It collects tech-related news articles, filters and analyzes them for relevance, expands them with research, generates SEO-optimized long-form articles using AI, creates a matching image using Leonardo AI, and publishes them via the WordPress REST API. Every step is tracked and stored in MongoDB for reference and performance tracking. You can see the demo results for the AI based articles here: Emp0 Articles How it works A scheduler runs daily to fetch the latest news from RSS feeds including BBC, TechCrunch, Wired, MIT Tech Review, HackerNoon, and others. The RSS data is normalized and filtered to include only articles published within the past 24 hours. Each article is passed through an OpenAI-powered classifier to check for relevance to predefined user topics like AI, robotics, or tech policy. Relevant articles are then aggregated, researched, and summarized with supporting sources and citations. An AI agent generates five long-tail SEO blog title ideas, ranks them by uniqueness and performance score, and selects the top one. A blog outline is created including H1 and H2 headers, keyword targeting, content structure, and featured snippet optimization. A full-length article (1000 to 1500 words) is generated based on the outline, with analogies, citations, examples, and keyword density maintained. SEO metadata is produced including meta title, description, image alt text, slug, and a readability audit. An AI-generated image is created based on the blog theme using Leonardo AI, enhanced for emotional storytelling and visual consistency. The blog article, metadata, and image are uploaded to WordPress as a draft, the image is attached, Yoast SEO metadata is set, and the article is published. All outputs including article versions, metadata, generation steps, and final blog URLs are stored in MongoDB to allow for future analytics and feedback. Requirements To run this project, you need accounts and API access for the following: | Tool | Purpose | Notes | |--------------|------------------------------------------------------------------|-----------------------------------------------------------------------| | OpenAI | Used for blog classification, generation, summarization, SEO | Around $0.20 per day, using GPT-4o-mini. Estimated monthly: $6 | | MongoDB | Stores data flexibly including drafts, titles, metadata, logs | Free tier on MongoDB Atlas offers 512 MB, enough for 64,000 articles | | Leonardo AI | Generates featured images for blog articles | $9 for 3500 credits, $5 monthly top-up needed for 300 images | | WordPress | Final publishing platform via REST API | Hosted on Hostinger for $15/year including domain | Setup Instructions Import the provided JSON file into your n8n instance. Configure these credentials in n8n: OpenAI API key MongoDB Atlas connection string HTTP Header Auth for Leonardo AI WordPress REST API credentials Modify the classifier and prompt nodes to reflect your preferred content themes. Adjust scheduler nodes if you want to change post frequency or publishing times. Run the n8n instance continuously using Docker, PM2, or hosted automation platform. Cost Estimate | Component | Daily Usage | Monthly Cost Estimate | |---------------|------------------------------|------------------------| | OpenAI | 10 posts per day | ~$6 | | Leonardo AI | 10 images per day (15 credits each) | ~$14 (9 base + 5 top-up) | | MongoDB | Free up to 512 MB | $0 | | WordPress | Hosting and domain | ~$1.25 | | Total | | ~$21/month | Observations and Learnings This system can scale daily article publishing with zero manual effort. However, current limitations include inconsistent blog length and occasional coherence issues. To address this, I plan to build a feedback loop within the workflow: An SEO Commentator Agent will assess keyword strength, structure, and discoverability. An Editor-in-Chief Agent will review tone, clarity, and narrative structure. Both agents will loop back suggestions to the content generator, improving each draft until it meets human-level standards. The final goal is to consistently produce high-quality, readable, SEO-optimized content that is indistinguishable from human writing.
By Jay Emp0Discord AI-powered bot
This workflow is a template example for making Discord GPT-powered bots. Incoming user requests are analysed and categorised via OpenAI node with the help of a hand-crafted prompt. The response message is then routed to a different Discord channel.
By EduardGenerate and publish carousels for TikTok and Instagram with GPT-Image-1
Description This n8n automation template provides an end-to-end solution for generating a series of themed images for Instagram and TikTok carousels using OpenAI's GPT Image (via the image generation API) and automatically publishing them to both platforms. It uses a sequence of prompts to create a narrative or themed carousel, generating each image based on the previous one, and then posts them with an AI-generated caption. Who Is This For? Social Media Managers: Quickly create and schedule engaging image carousels for Instagram and TikTok. Content Creators: Automate the visual content creation process for thematic posts or storytelling carousels. Digital Marketers: Efficiently produce visual assets for campaigns that require sequential imagery. Small Businesses: Generate unique promotional content for social media without needing advanced design skills. What Problem Does This Workflow Solve? Manually creating a series of related images for a carousel and then publishing them across multiple platforms can be repetitive and time-consuming. This workflow addresses these issues by: Automating Image Generation: Uses OpenAI to generate a sequence of 5 images, where each new image is an evolution based on the previous one and a new prompt. Automating Caption Generation: Leverages OpenAI (GPT) to create a suitable description/caption for the carousel based on the image prompts. Streamlining Multi-Platform Publishing: Automatically uploads the generated image carousel and caption to both Instagram and TikTok. Reducing Manual Effort: Significantly cuts down the time spent on designing individual images and manually uploading them. Ensuring Visual Cohesion: The sequential image generation method (editing the previous image) helps maintain a consistent style or narrative across the carousel. How It Works Trigger: The workflow is initiated manually (can be adapted to a schedule or webhook). Define Prompts: Five distinct prompts are pre-set within the workflow to guide the generation of each image in the carousel. AI Caption Generation: OpenAI (GPT-4.1) generates a concise (β€ 90 characters for TikTok) description for the social media posts based on all five image prompts. Sequential AI Image Generation: Image 1: OpenAI's image generation API (specified as gpt-image-1) creates the first image based on prompt1. Image 2-5: For each subsequent image, the workflow uses the OpenAI image edits* API. It takes the previously generated image and a new prompt (prompt2 for image 2, prompt3 for image 3, and so on) to create the next image in the sequence. Images are converted from base64 JSON to binary format. Content Aggregation: The five generated binary image files (named photo1 through photo5) are merged. Multi-Platform Distribution: The merged images and the AI-generated description are sent to api.upload-post.com for publishing as a carousel to Instagram. The same content is sent to api.upload-post.com for publishing as a carousel to TikTok, with an option to automatically add music. The TikTok description is truncated if it exceeds 90 characters. Setup Accounts & API Keys: You will need: An n8n instance. An OpenAI API key. A key for social media API upload-post. Configure Credentials: Add your OpenAI API key to the "OpenAI" credentials in n8n. This will be used by the "Generate Description for Tiktok and Instagram" node and the HTTP Request nodes calling the OpenAI image generation/edit APIs. In the "POST TO INSTAGRAM" and "POST TO TIKTOK" nodes, replace "Apikey addapikey_here" with your actual upload-post.com API key. Update the user field in the "POST TO INSTAGRAM" and "POST TO TIKTOK" nodes if "upload_post" is not your user identifier for that service. Customize Prompts: Modify the five prompts (prompt1 to prompt5) in the "Set All Prompts" node to define the story or theme of your image carousel. Review Image Generation Parameters: In the "Set API Variables" node, you can adjust: sizeofimage (e.g., "1024x1536" for vertical carousels). openaiimagemodel (ensure this matches a valid OpenAI model identifier for image generation/edits, like dall-e-2 or dall-e-3 if gpt-image-1 is a placeholder). responseformatimage (should generally remain b64_json for this workflow). (Optional) TikTok Auto Music: The "POST TO TIKTOK" node has an autoaddmusic parameter set to true. Change this to false if you prefer to add music manually or not at all. Requirements Accounts: n8n, OpenAI, upload-post.com. API Keys & Credentials: API Keys for OpenAI and https://upload-post.com. (Potentially) Paid Plans: OpenAI and upload-post.com usage may incur costs depending on your volume and their respective pricing models. This template empowers you to automate the creation and distribution of visually consistent image carousels, saving time and enhancing your social media presence.
By Juan Carlos Cavero GraciaAutomate WhatsApp booking system with GPT-4 Assistant, Cal.com and SMS reminders
AI-powered WhatsApp booking system with instant SMS confirmations Who is this for? This workflow is designed for solo entrepreneurs, consultants, coaches, clinics, or any business that handles client appointments and wants to automate the entire scheduling experience via WhatsApp β without the need for live agents. What problem is this workflow solving? Responding to inbound messages, collecting booking details, suggesting available times, and sending reminders can be a huge time drain. This workflow eliminates manual handling by: Automating WhatsApp conversations with an AI assistant Booking appointments directly into Cal.com Sending timely SMS reminders before appointments It ensures you never miss a lead or a follow-up β even while you sleep. What this workflow does From a single WhatsApp message, the workflow: Triggers via a WhatsApp webhook Uses GPT-4 to handle conversation flow and qualify the prospect Collects name, email, selected service Calls Cal.com API to fetch available time slots Books the appointment and stores it in Google Sheets Sends a confirmation message via WhatsApp Periodically scans for upcoming appointments Sends SMS reminders to clients 2 hours before their session Setup Connect your Webhook node to a WhatsApp API (e.g., 360dialog, Twilio, or Ultramsg) Add your OpenAI API key for the GPT-4 nodes Configure your Cal.com API key and set your calendar ID Link your Google Sheets with fields like: name, email, date, time, status, reminder_sent Connect your SMS service (e.g., sms77) with API credentials Adjust the schedule in the reminder node as needed How to customize this workflow to your needs Change the language or tone of the AI assistant by editing the system prompt in the GPT node Filter available time slots by service, team member, or duration Modify the reminder timing (e.g., 1 hour before, 24h before, etc.) Add conditional logic to route users to different booking flows based on their responses Integrate additional CRMs or notification channels like email or Slack π Documentation: Notion Guide --- Need help customizing? Contact me for consulting and support : Linkedin / Youtube
By Dr. FirasTrack AI agent token usage and estimate costs in Google Sheets
This n8n template demonstrates how to obtain token usage from AI Agents and places the data into a spreadsheet that calculates the estimated cost of the execution. Obtaining the token usage from AI Agents is tricky, because it doesn't provide all the data from tool calls. This workflow taps into the workflow execution metadata to extract token usage information. Works well with OpenAI, Google and Anthropic. Other LLM providers might need small tweaks. How it works The AI Agent executes and then calls a subworkflow to calculate the token usage. The data is stored in Google Sheets The spreadsheet has formulas to calculate the estimated cost of the execution. How to use The AI Agent is used as an example. Feel free to replace this with other agents you have. Call the subworkflow AFTER all the other branches have finished executing. Requirements LLM account (OpenAI, Gemini...) for API usage. Google Drive and Sheets credentials n8n API key of your instance
By SolomonEvaluate tool usage accuracy in multi-agent AI workflows using evaluation nodes
Who's it for ------------ This workflow is ideal for AI developers running multi-agent systems in n8n who need to quantitatively evaluate tool usage behavior. If you're building autonomous agents and want to verify their decisions against ground-truth expectations, this workflow gives you plug-and-play observability. What it does ------------ This template uses n8n's built-in Evaluation Trigger and Evaluation nodes to assess whether an AI agent correctly used all the expected tools. It supports: Dataset-driven testing of agent behavior Logging actual tools to compare them with the expected tools Assigning performance metrics (tool_called = true/false) Persisting output back to Google Sheets for further debugging The workflow can be triggered by either the chat input or the dataset row evaluation. It routes through a multi-tool agent node powered by the best LLMs. The agent has access to tools such as web search, calculator, vector search, and summarizer tools. The workflow then aims to validate tool use decisions by extracting the intermediate steps from the agent (i.e., action + observation) and comparing the tools that were called with the expected tools. If the tools that were called during the workflow execution match, then it's a pass; otherwise, it's documented as a fail. The evaluation nodes take care of that process.Β How to set it up ---------------- Connect your Google Sheets OAuth2 credential. Replace the document with your own test dataset. Set your desired models and configure the different agent tools, such as the summarizer and vector store. The default vector store used is Qdrant, so the user must create this vector store with a few samples of queries + web search results. Run from either the chat trigger or the evaluation trigger to test. Requirements ------------ Google Sheets OAuth2 credential OpenRouter / OpenAI credentials for AI agents and embeddings Firecrawl and Qdrant credentials for web + vector search How to customize ---------------- Edit the Search Agent system message to define tool selection behavior Add more metric columns in the Evaluation node for complex scoring Add new tool nodes and link them to the agent block Swap in your own summarizer
By Angel MenendezConvert HTML to PDF using ConvertAPI
Who is this for? For developers and organizations that need to convert HTML files to PDF. What problem is this workflow solving? The file format conversion problem. What this workflow does Converts HTML to file. Converts the HTML file to PDF. Stores the PDF file in the local file system. How to customize this workflow to your needs Open the HTTP Request node. Adjust the URL parameter (all endpoints can be found here). Use your API Token for authentication. Pass the token in the Authorization header as a Bearer token. You can manage your API Tokens in the User panel β Authentication. Optionally, additional Body Parameters can be added for the converter.
By ConvertAPIAutomate AI news videos to social media with GPT-4o & HeyGen and Postiz
π€ Automated AI News Video Creation and Social Media Publishing Workflow ββββββββββββββββββββββββββββββββββββββββββββ π― Overview: This workflow fully automates the creation and social media distribution of AI-generated news videos. It fetches news, crafts captions, generates avatar videos via HeyGen, stores them, and publishes them across Instagram, Facebook, and YouTube via Postiz. --- π WORKFLOW PROCESS: News Fetching: Reads the latest news from an RSS feed. AI Captioning: Generates concise, engaging captions using an AI agent (GPT-4o-mini). Video Generation: Creates an AI avatar video using HeyGen with the generated caption. Video Storage: Downloads the video and uploads it to Google Drive for archival. Data Logging: Records all news and video metadata into Google Sheets. Postiz Upload: Uploads the video to Postiz's internal storage for publishing. Social Publishing: Fetches Postiz integrations and routes the video to Instagram, Facebook, and YouTube after platform-specific content cleaning. --- βοΈ KEY TECHNOLOGIES: RSS Feeds: News source. LangChain (n8n nodes): AI Agent and Chat OpenAI for caption generation. HeyGen API: AI avatar video creation. Google Drive: Video file storage. Google Sheets: Data logging and tracking. Postiz API: Unified social media publishing platform. --- β οΈCRITICAL CONFIGURATIONS: API Keys: Ensure HeyGen and Postiz API keys are correctly set in credentials and the 'Setup Heygen Parameters' node. HeyGen IDs: Verify avatarid and voiceid in 'Setup Heygen Parameters'. Postiz URL: Confirm https://postiz.yourdomain.com is your correct Postiz instance URL across all HTTP Request nodes. Credentials: All Google, OpenAI, and Postiz credentials must be properly linked. --- πBENEFITS: Automated content creation and distribution, saving significant time. Consistent branding and messaging across multiple platforms. Centralized logging for tracking and performance analysis. Scalable solution for high-volume content demands. ---
By David Olusola