Generate trend-based video marketing ideas with GPT-4, Tavily and Veo 3
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Automate your entire video content creation pipeline with this AI-powered, no-code workflow built in n8n. Watch Step-by-step video guide here: https://www.youtube.com/watch?v=x7nHpcggpX8&t=5s This template connects a suite of smart tools to help you generate scroll-stopping short video ideas based on daily trending topics and auto-deliver them via email—ready for production in Veo 3. 🔧 How it works: Scheduled Trigger (Daily) Kicks off the process each day at your chosen time. Tavily Agent (Web Search) Searches the latest trends, viral moments, or market news based on your e-commerce brand (e.g. “Sally’s Closet”). OpenAI GPT-4 Agent (Creative Brainstorming) Generates high-conversion marketing video ideas based on your brand’s tone and what’s trending. Prompt Formatter for Veo 3 Converts the idea into a cinematic-style prompt, optimized for Veo’s video generation engine (via FAL API). Send via Gmail The final Veo 3 prompt is emailed to you or your creative team for immediate use or manual refinement. Watch full step-by-step Tutorial Build Video: https://youtu.be/x7nHpcggpX8 🧠 Use Cases: E-commerce brands that need fresh daily content Marketing teams looking to automate creative ideation Solopreneurs building a lean video production engine Anyone experimenting with Veo 3 prompt-based storytelling 🛠️ Tools used: n8n Scheduled Trigger Tavily Node (for real-time web search) Langchain Agent (GPT-4 via OpenAI) FAL API (Veo 3 prompt delivery) Gmail Node (send final output) ⚡️ Ready-to-use. Fully editable. Zero coding required. 💡 Pro Tip: You can hook this up with the Veo 3 generation API (FAL) to complete the automation end-to-end!
By Automate With MarcAI-Powered Employee Database Management via Telegram using OpenAI and Airtable
Who is this for? This workflow is perfect for: HR professionals seeking to automate employee and department management Startups and SMBs that want an AI-powered HR assistant on Telegram Internal operations teams that want to simplify onboarding and employee data tracking --- What problem is this workflow solving? Managing employee databases manually is error-prone and inefficient—especially for growing teams. This workflow solves that by: Enabling natural language-based HR operations directly through Telegram Automating the creation, retrieval, and deletion of employee records in Airtable Dynamically managing related data such as departments and job titles Handling data consistency and linking across relational tables automatically Providing a conversational interface backed by OpenAI for smart decision-making --- What this workflow does Using Telegram as the interface and Airtable as the backend database, this intelligent HR workflow allows users to: Chat in natural language (e.g. “Show me all employees” or “Create employee: Sarah, Marketing…”) Interpret and route requests via an AI Agent that acts as the orchestrator Query employee, department, and job title data from Airtable Create or update records as needed: Add new departments and job titles automatically if they don’t exist Create new employees and link them to the correct department and job title Delete employees based on ID Respond directly in Telegram, providing user-friendly feedback --- Setup View & Copy the Airtable base here: 👉 Employee Database Management – Airtable Base Template Telegram Bot: Set up a Telegram bot and connect it to the Telegram Trigger node Airtable: Prepare three Airtable tables: Employees with links to Departments and Job Titles Departments with Name & Description Job Titles with Title & Description Connect your Airtable API key and base/table IDs into the appropriate Airtable nodes Add your OpenAI API key to the AI Agent nodes Deploy both workflows: the main chatbot workflow and the employee creation sub-workflow Test with sample messages like: “Create employee: John Doe, john@company.com, Engineering, Software Engineer” “Remove employee ID rec123xyz” --- How to customize this workflow to your needs Switch databases: Replace Airtable with Notion, PostgreSQL, or Google Sheets if desired Enhance security: Add authentication and validation before allowing deletion Add approval flows: Integrate Telegram button-based approvals for sensitive actions Multi-language support: Expand system prompts to support multiple languages Add logging: Store every user action in a log table for auditability Expand capabilities: Integrate payroll, time tracking, or Slack notifications --- Extra Tips This is a two-workflow setup. Make sure the sub-workflow is deployed and accessible from the main agent. Use Simple Memory per chat ID to preserve context across user queries. You can expand the orchestration logic by adding more tools to the main agent—such as “Get active employees only” or “List employees by job title.” --- Contact me for consulting and support: 📧 billychartanto@gmail.com
By Billy ChristiCreate character-consistent images with FLUX Kontext & post to social via upload post
Create, iterate, and share! Transform a single image through multiple scenes while maintaining consistency. ✨ What this workflow does This template showcases FLUX.1 Kontext - Black Forest Labs' in-context image generation model that excels at maintaining character features across multiple transformations. Combined with the Upload Post community node for effortless multi-platform social media posting, you can create and share compelling visual stories instantly. The workflow demonstrates FLUX Kontext's core strength: character consistency across multiple image generations. Starting with a single input image, it: 🖼️ Loads an initial character image (example: a cute animal mascot) 📝 Defines multiple scene transformation prompts 🔄 Iteratively generates new scenes while preserving exact character features 🎯 Maintains visual consistency by reusing binary data from previous generations 📱 Auto-posts the complete transformation series to multiple social platforms simultaneously 🚀 Key Features: The Consistency Advantage Character Preservation: FLUX Kontext's signature feature - maintains character features and style across transformations (requires specific prompting techniques) Iterative Context Building: Each generation uses the previous image as context, creating visual continuity Binary Data Reuse: Smart workflow design that feeds output from one generation as input to the next Multi-Scene Storytelling: Transform your character across different environments while keeping them recognizable One-Click Multi-Platform Posting: Upload Post* eliminates the tedious process of posting to each platform individually 📱 Why use Upload Post? Posting the same content to TikTok, Instagram, LinkedIn, YouTube, Facebook, X (Twitter), and Threads individually is time-consuming and error-prone. The Upload Post service* simplifies this process: ✅ Connect once, post everywhere: Link all your social media accounts to Upload Post ✅ Single API call: Post to multiple platforms with one simple node ✅ No more platform juggling: Skip the endless switching between apps and dashboards ✅ Consistent timing: All platforms get your content simultaneously ✅ Trusted by 3,751+ users: Proven solution for content creators and marketers Instead of spending 30+ minutes manually posting to each platform, Upload Post does it all in seconds with a single n8n node! 🛠️ Prerequisites Required Accounts: Black Forest Labs API: Create account at dashboard.bfl.ai Get your API key for FLUX Kontext Pro access Upload Post Account: Sign up at upload-post.com* Connect your social media profiles (TikTok, Instagram, LinkedIn, YouTube, Facebook, X/Twitter, Threads) Get API credentials for automated posting Free tier available: 10 uploads/month [](https://www.upload-post.com/?linkId=lp_144414&sourceId=post-now&tenantId=upload-post-app) 💡 Perfect For: Character Designers maintaining brand character integrity across scenes Social Media Managers creating engaging visual story series without manual posting Brand Marketers ensuring character consistency across campaigns Storytellers building visual narratives with consistent protagonists Agencies managing multiple client accounts efficiently 🔧 Customization Options: Modify transformation prompts to create your own character journey Adjust iteration steps Change initial character image Configure social platform targeting (choose which platforms to post to) Customize post content and formatting Experiment with different consistency scenarios \ Affiliate link*
By EduardConvert Markdown content to Contentful rich text with AI formatting
Workflow: Publish to Contentful with Rich Text Formatting ⚡ About the Creators This workflow was created by Varritech Technologies, an innovative agency that leverages AI to engineer, design, and deliver software development projects 500% faster than traditional agencies. Based in New York City, we specialize in custom software development, web applications, and digital transformation solutions. If you need assistance implementing this workflow or have questions about content management solutions, please reach out to our team. 🏗️ Architecture Overview This workflow takes a JSON article payload, splits its markdown content into logical chunks, converts each chunk into Contentful Rich Text JSON via an AI agent, merges the resulting rich text nodes back into a single document, formats the entire entry according to Contentful's field schema, and finally publishes it to Contentful. Trigger → Executes when called by another workflow Split by Headings → Breaks markdown into -delimited chunks Markdown → Rich Text → AI agent converts each chunk to Contentful Rich Text JSON Combine Rich Text Objects → Aggregates all chunk outputs into one document Format Entry → Wraps metadata and rich-text content into Contentful schema Publish Entry → HTTP POST to Contentful API --- 📦 Node-by-Node Breakdown mermaid flowchart LR A[When Executed by Another Workflow] --> B[Split by Headings] B --> C[Markdown to Contentful format] C --> D[Combine Rich Text Objects] D --> E[Merge1] E --> F[Format1] F --> G[Create newly formatted Contentful Entry] When Executed by Another Workflow Type: Execute Workflow Trigger Input Example: title, slug, category.id, description, keywords, content, metaTitle, metaDescription, readingTime, difficulty Purpose: Receives the JSON payload from the upstream workflow. Split by Headings Type: Code Logic: Splits input.content into an array of markdown chunks at each second-level heading (). Emits one item per chunk with index, slug, title, and contentChunk. Markdown to Contentful format Type: LangChain Agent (+ OpenAI Chat model) System Prompt: Defines rules for generating valid Contentful Rich Text JSON (must include nodeType, data:{}, content:[], etc.). Provides examples for paragraphs, headings, lists, links, and images. User Prompt: Here is the markdown content to convert: {{ $json.contentChunk }} Purpose: Converts each markdown chunk into an array of rich-text nodes. Combine Rich Text Objects Type: Code Logic: Parses and merges all content arrays returned by the AI agent into one combined content array under a document root. Merge1 Type: Merge Purpose: Joins the original item (with metadata) and the combined rich-text document into a single data stream. Format1 Type: Code Logic: Maps workflow data into the Contentful entry schema by setting each field (title, slug, category link, description, keywords, rich-text content, metaTitle, metaDescription, readingTime, difficulty) under the appropriate locale and structure required by Contentful. Create newly formatted Contentful Entry Type: HTTP Request Method: POST URL: https://api.contentful.com/spaces Headers: Authorization: Bearer token for Contentful Management API Content-Type: application/vnd.contentful.management.v1+json X-Contentful-Version: entry version number X-Contentful-Content-Type: content type ID Body: The formatted fields object produced by the previous node Purpose: Publishes the new entry with rich-text content to Contentful. 🔍 Design Rationale & Best Practices Chunked Conversion Splitting by headings prevents AI context limits and keeps conversions modular. Strict Rich Text Schema Enforcing nodeType, data, and content structure avoids validation errors on Contentful. Two-Phase Merge Separating "combine AI outputs" and "format entry" keeps transformations clear and testable. Idempotent Publish Uses explicit versioning and content type headers to ensure correct entry creation.
By VarritechVideo transcription automation with VLM Run, Google Drive and Docs
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. What this workflow does Monitors Google Drive for new video file uploads Downloads and processes videos using VLM Run AI transcription Generates accurate transcripts with timestamps, audio content, and video descriptions Saves formatted reports to Google Docs for instant access and sharing Setup Prerequisites: Google Drive account, VLM Run API credentials, Google Docs access, self-hosted n8n. You need to install VLM Run community node Quick Setup: Configure Google Drive OAuth2 and create video upload folder Add VLM Run API credentials Set up Google Docs integration for transcript storage Update folder/document IDs in workflow nodes Test with sample video files and activate Perfect for Meeting transcription and documentation Content creation and video accessibility Educational content processing and analysis Interview transcription and note-taking Podcast and webinar documentation Legal deposition and testimony recording Customer support call analysis Key Benefits Asynchronous processing handles large video files without timeouts Multi-format support for MP4, AVI, MOV, WebM, MKV formats Dual content extraction captures both audio transcripts and video descriptions Eliminates manual transcription saving hours of documentation time High accuracy speech recognition with multi-language support Structured output with timestamps and scene descriptions How to customize Extend by adding: Speaker identification and voice separation Sentiment analysis and keyword extraction Integration with project management tools Email notifications for transcription completion Summary generation and key point extraction Multi-language translation capabilities Search indexing for transcript databases Integration with video editing software This workflow transforms manual video transcription into an automated, accurate, and efficient process, making video content accessible and searchable for your business operations, educational needs, or content creation workflows.
By Mirajul MohinAutomated MySQL to Google Sheets sync with duplicate prevention
📝 Sync MySQL Rows to Google Sheet Description: This n8n template automates the process of syncing new records from a MySQL database table into a Google Sheet, ideal for reporting, backup, or lightweight dashboards. It is designed for teams or individuals who need to periodically export new data rows from a custom database (e.g., CRM, registrations, surveys) into a structured Google Sheet for further analysis, sharing, or archiving—without duplicates. --- 🛠️ What This Workflow Does: Runs every 15 minutes via a schedule trigger. Selects unsynced rows (sync = 0) from a MySQL table (fifa25_customers). Checks if records exist to prevent unnecessary writes. Appends records to a Google Sheet, mapping fields like name, email, phone, gender, and more. Updates the MySQL table to mark those rows as synced (sync = 1) to avoid reprocessing. Fully annotated using sticky notes for easier understanding and onboarding. --- 📋 Setup Instructions: Create or select a Google Sheet and make sure the columns match the following: id, name, phone, birthdate, email, region, gender, datatime Ensure your MySQL table (fifa25_customers) has a sync column (default = 0 for new rows). Connect your MySQL and Google Sheets credentials inside n8n. (Optional): Add custom filtering or column transformations as needed. --- 👤 Who Is It For? Marketers syncing leads to a spreadsheet Ops teams pulling user data from internal tools Analysts logging form submissions or customer data Anyone needing lightweight scheduled ETL from MySQL to Sheets --- 🔐 Credentials Required: MySQL Google Sheets OAuth2 --- ✅ Best Practices Followed: Uses IF node to prevent unnecessary processing Updates source database to avoid duplicates Includes sticky notes for clarity All columns are explicitly mapped Works out-of-the-box on any n8n instance with proper creds
By Ahmed SaadawiServe inspirational quotes on-demand via webhook using ZenQuotes API
This n8n template lets you instantly serve batches of inspirational quotes via a webhook using the free ZenQuotes API. It’s perfect for developers, content creators, community managers, or educators who want to add dynamic, uplifting content to websites, chatbots, or internal tools—without writing custom backend code. --- 🔧 How it works A Webhook node listens for incoming HTTP requests on your chosen path. Get Random Quote from ZenQuotes sends an HTTP Request to https://zenquotes.io/api/random?count=5 and retrieves five random quotes. Format data uses a Set node to combine each quote (q) and author (a) into a single string: "“quote” – author". Send response returns a JSON array of objects { quote, author } back to the caller. --- 👤 Who is it for? This workflow is ideal for: Developers building motivational Slack or Discord bots. Website owners adding on-demand quote widgets. Educators or trainers sharing daily inspiration via webhooks. Anyone learning webhook handling and API integration in n8n. --- 🗂️ Response Structure Your webhook response will be a JSON array, for example: json [ { "quote": "Life is what happens when you're busy making other plans.", "author": "John Lennon" }, { "quote": "Be yourself; everyone else is already taken.", "author": "Oscar Wilde" } ] --- ⚙️ Setup Instructions Import the workflow JSON into your n8n instance. In the Webhook node, set your desired path (e.g., /inspire). (Optional) Change the count parameter in the HTTP Request node to fetch more or fewer quotes. Activate the workflow. Test by sending an HTTP GET or POST to https://<your-n8n-domain>/webhook/<path>.
By ist00dentCreate a client in Harvest
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By tanaypant