by Derek Cheung
How it works: Using a Crew of AI agents (Senior Researcher, Visionary, and Senior Editor), this crew will automatically determine the right questions to ask to produce a detailed fundamental stock analysis. This application has two components: a front-end and a Stock Q&A engine. The front end is the team of agents automatically figuring out the questions to ask, and the back-end part is the ability to answer those questions with the SEC 10K data. This template implements the Stock Q&A engine. For the front-end of the application, you can choose one of two options: using CrewAI with the Replit environment (code approach) fully visual approach with n8n template (AI-powered automated stock analysis) Setup steps: Use first workflow in template to upsert a company annual report PDF (such as from SEC 10K filling) Get URL for Webhook in second workflow template CrewAI front-end: Youtube overview video Fork this AI Agent environment Crew Agent Environment Set the webhook URL into N8N_WEBHOOK_URL variable Set OpenAI_API_KEY variable
by Jimleuk
This n8n template takes a video and extracts frames from it which are used with a multimodal LLM to generate a script. The script is then passed to the same multimodal LLM to generate a voiceover clip. This template was inspired by Processing and narrating a video with GPT's visual capabilities and the TTS API How it works Video is downloaded using the HTTP node. Python code node is used to extract the frames using OpenCV. Loop node is used o batch the frames for the LLM to generate partial scripts. All partial scripts are combined to form the full script which is then sent to OpenAI to generate audio from it. The finished voiceover clip is uploaded to Google Drive. Sample the finished product here: https://drive.google.com/file/d/1-XCoii0leGB2MffBMPpCZoxboVyeyeIX/view?usp=sharing Requirements OpenAI for LLM Ideally, a mid-range (16GB RAM) machine for acceptable performance! Customising this workflow For larger videos, consider splitting into smaller clips for better performance Use a multimodal LLM which supports fully video such as Google's Gemini.
by Nick Saraev
AI Facebook Ad Spy Tool with Apify, OpenAI, Gemini & Google Sheets Categories: Competitive Intelligence, Marketing Automation, AI Analysis This workflow creates a comprehensive Facebook ad spy tool that scrapes competitor ads from Facebook's ad library and generates detailed analysis with rewritten versions. The system processes text, image, and video ads using different AI models, providing strategic intelligence for PPC agencies and marketers. Built to be sold as a premium service for $2,000+, this tool combines web scraping, multi-modal AI analysis, and competitor intelligence into one powerful automation. Benefits Complete Competitive Intelligence** - Analyze competitor strategies across all ad formats (text, image, video) Multi-Modal AI Analysis** - Uses GPT-4 Vision for images and Gemini for video content understanding Automated Ad Rewriting** - Generates inspired variations of successful competitor ads Quality Filtering** - Targets high-performing advertisers with significant page likes Scalable Processing** - Handle hundreds of competitor ads with detailed strategic analysis Premium Service Potential** - Easily sold to agencies and marketers for $2,000+ implementations How It Works Facebook Ad Library Scraping: Connects to Facebook's public ad library through Apify's specialized scraper Searches for active ads using customizable keywords and targeting parameters Extracts comprehensive ad data including creative assets, targeting info, and engagement metrics Filters results to focus on high-quality advertisers with substantial page followings Intelligent Content Routing: Automatically categorizes ads into text-only, image-based, or video content types Routes each ad type to specialized processing pipelines optimized for that content format Ensures appropriate AI models are used for each type of creative analysis Maintains data integrity while processing different content formats simultaneously Advanced Video Analysis Pipeline: Downloads video ads directly from Facebook's content delivery network Uploads videos to Google Drive for temporary storage and processing Initiates Gemini AI video upload sessions for multi-modal analysis Uses Gemini's advanced video understanding to generate detailed content descriptions Processes video narrative, visual elements, messaging strategy, and target audience insights Image and Text Processing: Analyzes image ads using GPT-4 Vision for comprehensive visual content understanding Processes text-only ads using GPT-4 for messaging strategy and copywriting analysis Identifies key persuasion techniques, target demographics, and messaging frameworks Generates detailed competitive intelligence reports for each ad format Strategic Intelligence Generation: Creates comprehensive summaries analyzing competitor messaging strategies and target audiences Generates rewritten ad copy that captures successful elements while avoiding direct copying Produces recreation prompts for images and videos that can be used with AI generation tools Organizes all insights in structured Google Sheets database for easy analysis and reporting Required Setup Configuration Apify Integration: Sign up for Apify account and obtain API key Replace <your-apify-api-key-here> in "Run Ad Library Scraper" node Customize Facebook Ad Library search URLs with your target keywords and regions AI Service Configuration: OpenAI API**: Set up for text analysis and image understanding with GPT-4 Vision Gemini API**: Configure for advanced video content analysis and description Replace <your-gemini-api-key-here> in all Gemini-related nodes Google Services Setup: Google Drive**: Configure OAuth for temporary video storage during Gemini processing Google Sheets**: Create results database with proper column structure for ad intelligence storage Facebook Ad Library Search Configuration: Customize the search parameters in the Apify scraper Google Sheets Database Structure: Create a sheet with these columns: ad_archive_id - Unique Facebook ad identifier page_id - Advertiser's Facebook page ID page_name - Advertiser's business name page_url - Link to advertiser's Facebook page type - Ad format (text, image, or video) date_added - When ad was analyzed summary - Detailed competitive intelligence analysis rewritten_ad_copy - AI-generated inspired version image_prompt - Description for recreating image ads video_prompt - Description for recreating video ads Business Use Cases PPC Agencies - Offer comprehensive competitor analysis services to clients for strategic advantage Marketing Teams - Research competitor strategies and messaging before launching new campaigns E-commerce Businesses - Analyze successful ads in your industry for creative inspiration SaaS Companies - Study how competitors position their products and target audiences Course Creators - Research educational content marketing approaches and messaging strategies Affiliate Marketers - Identify successful promotional strategies and high-converting ad formats Difficulty Level: Advanced Estimated Build Time: 3-4 hours Monthly Operating Cost: ~$200 (Apify + OpenAI + Gemini + Google Workspace APIs) Watch My Complete Build Process Want to see exactly how I built this entire Facebook ad spy system from scratch? I walk through the complete development process live, including API integrations, multi-modal AI setup, error handling, and the exact business strategy for selling this as a premium service. 🎥 Watch My Live Build: "Build A Facebook Ads Spy Tool With N8N (Sell for $2k+)" This comprehensive tutorial shows the real development process - including complex API orchestration, multi-modal AI integration, and proven strategies for monetizing competitive intelligence systems. Set Up Steps Apify Scraper Configuration: Set up Apify account and configure Facebook Ad Library scraper Customize search parameters for your target industries and regions Configure result limits and filtering parameters for quality control Test scraper with sample searches to verify data quality Multi-Modal AI Setup: Configure OpenAI API credentials for text and image analysis Set up Gemini API access for advanced video content understanding Configure appropriate rate limits and error handling for API stability Test AI analysis with sample ads to optimize prompt quality Google Services Integration: Set up Google Drive OAuth for temporary video storage during processing Create Google Sheets database with proper column structure for intelligence storage Configure sharing permissions and access controls for team collaboration Test complete data flow from scraping to final intelligence reports Quality Control and Filtering: Configure page likes threshold in "Filter For Likes" node (recommend 1,000+ for quality) Adjust content routing logic in Switch node based on your analysis needs Set up error handling and retry logic for reliable large-scale processing Test complete workflow with various ad types to ensure proper routing Advanced Customization: Customize AI prompts for your specific industry analysis needs Configure additional filtering criteria beyond page likes Set up automated scheduling for regular competitor monitoring Add custom fields to database for tracking specific competitive metrics Advanced Features Scale the system with additional capabilities: Industry-Specific Analysis - Customize prompts and filters for different verticals Trend Tracking - Monitor messaging changes over time for strategic insights Performance Correlation - Cross-reference ad engagement with business outcomes Alert Systems - Notify when competitors launch new campaign types Custom Reporting - Generate client-ready intelligence reports automatically Integration Extensions - Connect to CRM and marketing platforms for strategic workflow Important Considerations API Rate Limits - Built-in delays and error handling prevent service interruptions Content Rights - System generates inspired variations, not direct copies, for legal compliance Data Storage - Organize intelligence database for easy client reporting and analysis Scalability - Batch processing handles hundreds of ads efficiently without blocking Quality Assurance - Filtering logic ensures analysis focuses on successful, high-quality advertisers Why This System Works The competitive advantage lies in comprehensive multi-modal analysis: Complete format coverage - analyzes text, image, and video ads with appropriate AI models Strategic depth - goes beyond basic scraping to provide actionable intelligence Automation scale - processes competitor research that would take weeks manually Premium positioning - advanced AI analysis justifies higher service pricing Immediate value - clients receive actionable insights within hours of setup Check Out My Channel For more advanced automation systems that generate real business results and premium service opportunities, explore my YouTube channel where I share proven strategies for building profitable automation businesses.
by Alexey from Mingles.ai
AI Image Generator & Editor with GPT-4 Vision - Complete Workflow Template Description Transform text prompts into stunning images or edit existing visuals using OpenAI's latest GPT-4 Vision model through an intuitive web form interface. This comprehensive n8n automation provides three powerful image generation modes: 🎨 Text-to-Image Generation Simply enter a descriptive prompt and generate high-quality images from scratch using OpenAI's gpt-image-1 model. Perfect for creating original artwork, concepts, or visual content. 🖼️ Image-to-Image Editing Upload an existing image file and transform it based on your text prompt. The AI analyzes your input image and applies modifications while maintaining the original structure and context. 🔗 URL-Based Image Editing Provide a direct URL to any online image and edit it with AI. Great for quick modifications of web images or collaborative workflows. Key Features Smart Input Processing Flexible Form Interface**: User-friendly web form with authentication Multiple Input Methods**: File upload, URL input, or text-only generation Quality Control**: Selectable quality levels (low, medium, high) Format Support**: Accepts PNG, JPG, and JPEG formats Advanced AI Integration Latest GPT-4 Vision Model**: Uses gpt-image-1 for superior results Intelligent Switching**: Automatically detects input type and routes accordingly Context-Aware Editing**: Maintains image coherence during modifications Customizable Parameters**: Control size (1024x1024), quality, and generation settings Dual Storage Options Google Drive Integration**: Automatic upload with public sharing permissions ImgBB Hosting**: Alternative cloud storage for instant public URLs File Management**: Organized storage with timestamp-based naming Instant Telegram Delivery Real-time Notifications**: Results sent directly to your Telegram chat Rich Media Messages**: Includes generated image with prompt details Quick Access Links**: Direct links to view and download results Markdown Formatting**: Clean, professional message presentation Technical Workflow Form Submission → User submits prompt and optional image Smart Routing → System detects input type (text/file/URL) AI Processing → OpenAI generates or edits image based on mode Binary Conversion → Converts base64 response to downloadable file Cloud Upload → Stores in Google Drive or ImgBB with public access Telegram Delivery → Sends result with viewing links and metadata Perfect For Content Creators**: Generate unique visuals for social media and marketing Designers**: Quick concept development and image variations Developers**: Automated image processing for applications Teams**: Collaborative image editing and sharing workflows Personal Use**: Transform ideas into visual content effortlessly Setup Requirements OpenAI API Key**: Access to GPT-4 Vision model Google Drive API** (optional): For Google Drive storage ImgBB API Key** (optional): For alternative image hosting Telegram Bot**: For result delivery Basic Auth Credentials**: For form security What You Get ✅ Complete image generation and editing pipeline ✅ Secure web form with authentication ✅ Dual cloud storage options ✅ Instant Telegram notifications ✅ Professional result formatting ✅ Flexible input methods ✅ Quality control settings ✅ Automated file management Start creating AI-powered images in minutes with this production-ready template! Tags: #AI #ImageGeneration #OpenAI #GPT4 #ImageEditing #Telegram #GoogleDrive #Automation #ComputerVision #ContentCreation
by Mohammad Ghaffarifar
This template creates a Telegram AI Assistant that answers questions based on your documents, powered by Google Gemini and Supabase. Key features include Intelligent HTML Post-processing for rich formatting in Telegram and Adaptive Message Chunking to handle long text responses. 📹 Watch the Bot in Action ▶️ Click the image above to watch a live demo on YouTube. This video provides a live demonstration of the bot's core features and how it interacts. See a quick walkthrough of its capabilities and user flow. How it works: User uploads a PDF document to a Telegram bot. The workflow processes the PDF, creates embeddings using Google Gemini, and stores these embeddings in a Supabase vector table. Users then ask questions to the bot. The workflow performs a vector search in Supabase to find relevant document chunks based on the user's query. Google Gemini uses the retrieved relevant chunks to generate an intelligent answer. The bot sends the formatted answer back to the user on Telegram, utilizing HTML markup for enhanced presentation. Set up steps: Setup should take approximately 15-20 minutes. Import the workflow into your n8n instance. Configure credentials for Telegram, Google Gemini, and Supabase. Set up your Supabase vector table using the provided SQL script. Activate the workflow. Detailed setup instructions, including how to get API keys and configure nodes, are available in the sticky notes within the workflow itself.
by Yang
📽️ What this workflow does This workflow turns a user-submitted form with country or animal names into a cinematic video with animated scenes and immersive ambient audio. Using GPT-4 for prompt generation, Dumpling AI for visual creation,& Replicate for motion animation, ElevenLabs for sound generation, and Creatomate for video stitching, it fully automates video production — from raw idea to rendered file. 🎯 What problem is this solving? Creating engaging multimedia content can take hours. This workflow automates the entire process of ideation, design, and rendering of high-quality cinematic clips, eliminating the need for manual video editing or audio production. 👥 Who is this for? Content creators and educators Digital artists and storytellers Marketers or YouTubers creating short-form visual content No-code/AI automation enthusiasts ⚙️ Setup Instructions ✅ Step 1: Google Sheet Create a Google Sheet with two columns: Title Generated videos Update the Sheet ID and tab name in the final node. ✅ Step 2: Google Drive Create two folders: One for ambient audio tracks One for final generated videos Update the folder IDs in both Google Drive nodes. ✅ Step 3: Credentials Setup Make sure all your API tokens are saved as credentials in n8n. This workflow uses the following integrations: OpenAI (GPT-4) Dumpling AI (via HTTP header) Replicate.com ElevenLabs Google Drive Google Sheets Creatomate ✅ Step 4: Form Fields Ensure your trigger form includes these fields: Title Country 1, Country 2, Country 3, Country 4 Style (e.g., cinematic, epic, fantasy, noir, etc.) 🧩 How it works User Form Submission Kicks off the workflow with the required inputs. Format Inputs Combines all 4 countries/animals into a single array. GPT-4: Generate Visual Prompts Uses GPT-4 to create rich cinematic descriptions per animal/country. Dumpling AI: Create Images Each description becomes a high-quality visual. GPT-4: Create Motion Prompts Each image prompt is rewritten into motion-based video prompts. Replicate: Animate Prompts and images are sent to Replicate’s model for animation. GPT-4: Generate Sound Prompt Based on the style, GPT-4 creates an ambient sound idea. ElevenLabs: Create Ambient Audio Audio is generated and uploaded to Google Drive. Creatomate: Stitch All Media All 4 motion videos and the audio track are stitched into one cinematic output. Upload to Google Drive + Log to Sheet Final video is saved in Drive and logged in Sheets with its title and link. 🛠️ How to Customize 🎨 Modify GPT prompts for different themes (e.g., horror, fantasy, sci-fi). 🧠 Swap animals for characters, objects, or locations. 🎧 Replace ambient sound with ElevenLabs voiceovers or music. 📂 Add metadata logging (generation time, duration, tags). 🧪 Try using alternative video tools like Pika Labs or Runway ML. ✅ Requirements n8n self-hosted or cloud instance Active accounts for: OpenAI, Dumpling AI, Replicate, ElevenLabs, Creatomate Google credentials set up for Drive + Sheets This is a perfect end-to-end automation that showcases the power of AI + automation for video storytelling.
by inderjeet Bhambra
Who is this for? This workflow is designed for travel bloggers, content creators, social media managers, and anyone who wants to transform their travel photos into engaging written narratives. It's perfect for travelers looking to create compelling stories from their photo collections without spending hours crafting content manually, families wanting to document memorable trips, and digital nomads who need to produce travel content efficiently. What problem is this workflow solving? Converting travel photos into engaging stories is time-consuming and requires both creative writing skills and the ability to analyze visual content meaningfully. This workflow solves the challenge of: Transforming visual memories into compelling written narratives Organizing photos chronologically to create logical story flow Generating professional-quality travel content without writing expertise Analyzing photo content to extract meaningful themes and emotions Creating day-by-day structured narratives from unorganized photo collections Reducing the time spent on manual content creation for travel documentation What this workflow does This AI-powered photo storyteller takes your travel photos and automatically generates immersive, first-person travel narratives. The workflow: Accepts multiple photos through a webhook endpoint Uses OpenAI Vision API (GPT-4o) to analyze each photo's content, emotions, and themes Automatically organizes photos chronologically by date and timestamp Groups photos by travel days and extracts daily themes Leverages GPT-4.1 (minimum required) to craft engaging, first-person travel stories with creative day titles Generates structured narratives with sensory details, cultural observations, and emotional insights Outputs JSON formatted content ready for formatting Creates day-by-day story structure with memorable moments and reflective conclusions Setup Required Credentials: OpenAI API key configured in n8n for both Vision Analysis and Story Generation nodes Ensure you have sufficient OpenAI credits for image analysis and text generation Webhook Configuration: The workflow creates a webhook endpoint at /tripteller-upload Configure your photo upload interface to POST photos array to this endpoint Photos should be sent as base64 encoded data with filename and metadata Photo Requirements: Supported formats: Standard image formats (JPEG, PNG, etc.) Photos should include timestamp metadata for chronological organization Caution Do not upload all photos at once. Start with a small number of photos, like 5 at a time. How to customize this workflow to your needs Story Style Customization: Modify the system prompt in the "Generate Travel Story" node to adjust writing tone (nostalgic, adventurous, poetic, etc.) Customize the story structure by editing the output format requirements Add specific cultural or geographical context prompts for location-specific storytelling Photo Analysis Enhancement: Adjust the Vision Analysis node prompt to focus on specific elements (architecture, food, people, landscapes) Modify the grouping logic in the "Group Photos by Day" node for different time-based organization Add location extraction from EXIF data for geographical context Output Format Adjustment: Customize the final response structure in the "Format Final Response" node Add integration with publishing platforms (blog APIs, social media, etc.) Include additional metadata like location tags, travel duration, or trip statistics Performance Optimization: Adjust the execution timeout based on your typical photo volume Modify the parallel processing approach for large photo collections Add progress tracking for longer processing workflows
by Grzegorz Hanus
Summarize YouTube Videos & Chat About Content with GPT-4o-mini via Telegram Description This n8n workflow automates the process of summarizing YouTube video transcripts and enables users to interact with the content through AI-powered question answering via Telegram. It leverages the GPT-4o-mini model to generate summaries and provide insights based on the video’s transcript. How It Works Input: The workflow starts by receiving a YouTube video URL. This can be submitted through: A Telegram chat message. A webhook (e.g., triggered by a shortcut on Apple devices). Transcript Extraction: The URL is processed to extract the video transcript using the custom youtubeTranscripter community node (available here). The transcript is concatenated into a single text and stored in a Google Docs document. Summarization: The GPT-4o-mini AI model analyzes the transcript and generates a structured summary, including: A general overview. Key moments. Instructions (if applicable). The summary is then sent back to the user via Telegram. Interactive Q&A: Users can ask questions about the video content via Telegram. The AI retrieves the stored transcript from Google Docs and provides accurate, context-based answers, which are sent back through Telegram. Setup Instructions To configure this workflow, follow these steps: Import the Workflow: Download the provided JSON template and import it into your n8n instance. Install the Community Node: Install the youtubeTranscripter community node via npm: npm install n8n-nodes-youtube-transcription-kasha Important: This node requires a self-hosted n8n instance due to its external dependencies. Configure Nodes: Webhook: Set up the webhook to receive YouTube URLs. Alternatively, configure the Telegram node if using Telegram as the input method. Google Docs: Provide valid credentials to enable writing the transcript to a Google Docs document. AI Model: Set up the GPT-4o-mini model for summarization and Q&A functionality. Test the Workflow: Send a YouTube URL via your chosen input method (Telegram or webhook) and confirm that the summary is generated and delivered correctly. Customization Language**: Adjust the AI prompts to generate summaries and answers in any desired language. Output Format**: Modify the summary structure by editing the prompt in the summarization node. Input Methods**: Replace the Telegram node with another messaging or input node to adapt the workflow to different platforms. Who Can Benefit? This template is perfect for: Content Creators**: Quickly summarize video content for repurposing or review. Students and Researchers**: Extract key insights from educational or informational videos efficiently. General Users**: Interact with video content via AI without needing to watch the full video. Problem Solved This workflow simplifies video content consumption by: Automating the extraction and summarization of key points. Enabling interactive Q&A to address specific questions without rewatching the video. Additional Notes Disclaimer**: The youtubeTranscripter community node is required and only works on self-hosted n8n instances due to its reliance on external services. Apple Users**: Enhance your experience with a custom shortcut to share YouTube videos directly to the workflow. Download the shortcut here.
by simonscrapes
Use Case Automate image replacement in Google Docs: You need to update document images dynamically You want to create multiple versions of a template with different images You need to batch process document images from a URL database You want to generate shareable documents with custom images What this Workflow Does The workflow automates image replacement in Google Docs: Accepts image URLs from your database Finds and replaces images in template documents Creates new document copies with updated images Optionally converts to PDF and makes documents shareable Setup Connect your image URL database (column name must be "url") Set up Google Docs OAuth 2 API credentials Optional: Create a template document in Google Drive with placeholder images Optional: Configure Google Drive authentication for additional features How to Adjust it to Your Needs Remove template copying for single document processing Adjust image ID selection for documents with multiple images Configure sharing settings and download formats Customize file naming and storage location More templates and n8n workflows >>> @simonscrapes
by Hubschrauber
What this workflow does This (set of) workflow(s) shows how to start multiple sub-workflows, asynchronously, in parallel, and then wait for all of them to complete. Normally sub-workflows would need to be run synchronously, in series, or, if they are executed asynchronously (to run concurrently, in parallel), there is no easy way to merge/wait for an arbitrary number of them to complete. This is a "design pattern" template to show one approach for running multiple, data-driven instances of a sub-workflow "asynchronously," in parallel (instead of running them one at a time in series), but still prevent the later steps in the workflow from continuing until all of the sub-workflows have reported back that they are finished, via callback URL. There are other techniques involving messaging services, database tables, or other external "flow manager" helpers, but this technique accomplishes the goal fully within n8n. Setup To implement this pattern, examine the nodes in the template and modify the incoming data leading to: A split-out loop to acynchronously execute a sub-workflow multiple times, in parallel. For instance, each sub-workflow might process one of a list of incoming documents. The resumeUrl for the main/parent workflow is provided to all of the sub-workflow executions, along with a unique identifier that can be counted later (e.g. a document file-name). A "wait-for-all" loop that checks whether all sub-workflows have reported back (if node) and builds a unique list of identifiers from the callbacks received from each execution of the sub-workflow. The sub-workflow should be designed to respond immediately (async) and later send a callback request when it has finished processing. The callback request should include the unique identifier value received when the sub-workflow it was started. This is meant to be a possible answer to questions like this one about running things in parallel, maybe this one about waiting for things to finish, this one about managing sub-batches of things by waiting for each batch, or this one about running things in parallel. The topic of how to do this comes up A LOT, and this is one of the only techniques that (so far) seems to work.
by Jonathan
How it works This template uses a slack app to connect with your google calendar, generate an instant google meet link and post it as a message in a slack channel Setup steps Firstly, you'll need to create a slack app Authenticate and connect your slack account Connect and choose the Google calendar you want to generate Google meet links for Customize your slack message Then using a /meet command in slack, you can instantly generate and post your Google meet links
by VEED
Create AI screencast videos with VEED and automated slides Overview This n8n workflow automatically generates presentation-style "screen recording" videos with AI-generated slides and a talking head avatar overlay. You provide a topic and intention, and the workflow handles everything: scriptwriting, slide generation, avatar creation, voiceover, and video composition. Output: Horizontal (16:9) AI-generated videos with animated slides as the main content and a lip-synced avatar in picture-in-picture, ready for YouTube, LinkedIn, or professional presentations. What It Does Topic + Intention → Claude writes script → Parallel processing: ├── OpenAI generates avatar → ElevenLabs voiceover → VEED lip-sync └── FAL Flux Pro generates slides → Creatomate composites everything → Saved to Google Drive + logged to Sheets Pipeline Breakdown | Step | Tool | What Happens | |------|------|--------------| | 1. Script Generation | Claude Sonnet 4 | Creates hook, script (25-40 sec), slide prompts, caption, and avatar description | | 2. Avatar Generation | OpenAI gpt-image-1 | Generates photorealistic portrait image (1024×1536) | | 3. Slide Generation | FAL Flux Pro | Creates 5-7 professional slides (1920×1080) with text overlays | | 4. Voiceover | ElevenLabs | Converts script to natural speech (multiple voice options) | | 5. Talking Head | VEED Fabric 1.0 | Lip-syncs avatar to audio, creates 9:16 talking head video | | 6. Video Composition | Creatomate | Combines slides + avatar in 16:9 PiP layout | | 7. Storage | Google Drive | Uploads final MP4 | | 8. Logging | Google Sheets | Records all metadata (script, caption, URLs, timestamps) | Required Connections API Keys (entered in Configuration node) | Service | Key Type | Where to Get | |---------|----------|--------------| | Anthropic | API Key | https://console.anthropic.com/settings/keys | | OpenAI | API Key | https://platform.openai.com/api-keys | | ElevenLabs | API Key | https://elevenlabs.io/app/settings/api-keys | | FAL.ai | API Key | https://fal.ai/dashboard/keys | | Creatomate | API Key | https://creatomate.com/dashboard/settings | > ⚠️ OpenAI Note: gpt-image-1 requires organization verification. Go to https://platform.openai.com/settings/organization/general to verify. n8n Credentials (connect in n8n) | Node | Credential Type | Purpose | |------|-----------------|---------| | 🎬 Generate Talking Head (VEED) | FAL.ai API | VEED video rendering | | 📤 Upload to Drive | Google Drive OAuth2 | Store final videos | | 📝 Log to Sheets | Google Sheets OAuth2 | Track all generated content | Configuration Options Edit the ⚙️ Workflow Configuration node to customize: { // 📝 CONTENT SETTINGS topic: "How AI is transforming content creation", intention: "informative", // informative, lead_generation, disruption brand_name: "YOUR_BRAND_NAME", target_audience: "sales teams and marketers", trending_hashtags: "#AIvideo #ContentCreation #VideoMarketing", // 🎨 SLIDE STYLE slide_style: "vibrant_colorful", // See slide styles below // 🎥 VIDEO SETTINGS video_resolution: "720p", // VEED only supports 720p seconds_per_slide: 6, // How long each slide shows // 🖼️ BACKGROUND (Optional) background: "", // URL, gradient array, or empty // 🔑 API KEYS (Required) anthropic_api_key: "YOUR_ANTHROPIC_API_KEY", openai_api_key: "YOUR_OPENAI_API_KEY", elevenlabs_api_key: "YOUR_ELEVENLABS_API_KEY", creatomate_api_key: "YOUR_CREATOMATE_API_KEY", fal_api_key: "YOUR_FAL_API_KEY", // 🎤 VOICE SELECTION voice_selection: "susie", // cristina, enrique, susie, jeff, custom // 🎨 AVATAR OPTIONS (Optional) custom_avatar_description: "", // Leave empty for AI-generated custom_avatar_image_url: "", // Direct URL to use existing image // 📝 CUSTOM SCRIPT (Optional) custom_script: "" // Leave empty for AI-generated } Slide Style Options | Style | Description | Best For | |-------|-------------|----------| | dark_professional | Dark gradients, white text, sleek look | Tech, SaaS, premium brands | | light_modern | Light backgrounds, dark text, clean | Corporate, educational | | vibrant_colorful | Bold colors, energetic, eye-catching | Social media, startups | | minimalist | Lots of whitespace, simple, elegant | Luxury, professional services | | tech_corporate | Blue tones, geometric shapes | Enterprise, B2B | Background Options | Type | Example | Description | |------|---------|-------------| | None | "" | Full bleed layout, slides take 78% width | | URL | "https://example.com/bg.jpg" | Image background with margins | | Gradient | ["#ff6b6b", "#feca57", "#48dbfb"] | Gradient background with margins | Voice Options | Voice | Language | Description | |-------|----------|-------------| | cristina | Spanish | Female voice | | enrique | Spanish | Male voice | | susie | English | Female voice (default) | | jeff | English | Male voice | | custom | Any | Use your ElevenLabs voice clone ID | Intention Types | Intention | Content Style | Best For | |-----------|---------------|----------| | informative | Educational, value-driven, builds trust | Thought leadership, tutorials | | lead_generation | Creates curiosity, soft CTA | Product awareness, funnels | | disruption | Bold, provocative, scroll-stopping | Viral potential, brand awareness | Custom Avatar & Script Options Custom Avatar Description Leave custom_avatar_description empty to let Claude decide, or provide your own: custom_avatar_description: "female marketing influencer, cool, working in tech" Examples: "a woman in her 20s with gym clothes" "a bearded man in his 30s wearing a hoodie" "a professional woman with glasses in business casual" Custom Avatar Image URL Skip avatar generation entirely by providing a direct URL: custom_avatar_image_url: "https://example.com/my-avatar.png" > Image should be portrait orientation, high quality, with the subject looking at camera. Custom Script Leave custom_script empty to let Claude write it, or provide your own: custom_script: "This is my custom script. AI is changing how we create content..." Guidelines for custom scripts: Keep it 25-40 seconds when read aloud (60-100 words) Avoid special characters for TTS compatibility Write naturally, as if speaking Behavior Matrix | custom_avatar_description | custom_avatar_image_url | custom_script | What Claude Generates | |---------------------------|-------------------------|---------------|----------------------| | Empty | Empty | Empty | Avatar + Script + Slides + Caption | | Provided | Empty | Empty | Script + Slides + Caption | | Empty | Provided | Empty | Script + Slides + Caption | | Empty | Empty | Provided | Avatar + Slides + Caption | | Provided | Provided | Provided | Slides + Caption only | Video Layout The final video uses a picture-in-picture (PiP) layout: Without Background (Full Bleed) ┌─────────────────────────────────┬──────┐ │ │ │ │ │ │ │ SLIDES (78%) │AVATAR│ │ │(22%) │ │ │ │ │ │ │ └─────────────────────────────────┴──────┘ With Background (Margins + Rounded Corners) ┌─────────────────────────────────────────┐ │ BG ┌───────────────────────────┐ ┌────┐ │ │ │ │ │ │ │ │ │ SLIDES (74%) │ │AVA │ │ │ │ │ │TAR │ │ │ │ │ │20% │ │ │ └───────────────────────────┘ └────┘ │ └─────────────────────────────────────────┘ Output Per Video Generated | Asset | Format | Location | |-------|--------|----------| | Final Video | MP4 (1920×1080, 60fps) | Google Drive folder | | Avatar Image | PNG (1024×1536) | tmpfiles.org (temporary) | | Slide Images | PNG (1920×1080) | FAL CDN (temporary) | | Voiceover | MP3 | tmpfiles.org (temporary) | | Metadata | Row entry | Google Sheets | Google Sheets Columns | Column | Description | |--------|-------------| | topic | Video topic | | intention | Content intention used | | brand_name | Brand mentioned | | slide_style | Visual style used | | content_theme | 2-3 word theme summary | | script | Full voiceover script | | caption | Ready-to-post caption with hashtags | | num_slides | Number of slides generated | | video_url | Google Drive link to final video | | avatar_video_url | VEED talking head video URL | | audio_url | Temporary audio URL | | status | done/error | | created_at | Timestamp | Estimated Costs Per Video | Service | Usage | Approximate Cost | |---------|-------|------------------| | Claude Sonnet 4 | 2K tokens | $0.01 | | OpenAI gpt-image-1 | 1 image (1024×1536) | ~$0.04-0.08 | | FAL Flux Pro | 5-7 images (1920×1080) | ~$0.10-0.15 | | ElevenLabs | 100 words | $0.01-0.02 | | VEED/FAL.ai | 1 video render | ~$0.10-0.20 | | Creatomate | 1 video composition | ~$0.10-0.20 | | Total | | ~$0.35-0.65 per video | > Costs vary based on script length and current API pricing. Setup Checklist Step 1: Import Workflow [ ] Import create-ai-screencast-videos-with-veed-and-automated-slides.json into n8n Step 2: Configure API Keys [ ] Open the ⚙️ Workflow Configuration node [ ] Replace all YOUR_*_API_KEY placeholders with your actual API keys [ ] Verify your OpenAI organization at https://platform.openai.com/settings/organization/general Step 3: Connect n8n Credentials [ ] Click on 🎬 Generate Talking Head (VEED) node → Add FAL.ai credential [ ] Click on 📤 Upload to Drive node → Add Google Drive OAuth2 credential [ ] Click on 📝 Log to Sheets node → Add Google Sheets OAuth2 credential Step 4: Configure Storage [ ] Update the 📤 Upload to Drive node with your Google Drive folder URL [ ] Update the 📝 Log to Sheets node with your Google Sheets URL [ ] Create column headers in your Google Sheet (see Output section) Step 5: Customize Content [ ] Update topic, brand_name, target_audience, and trending_hashtags [ ] Choose your preferred slide_style and voice_selection [ ] Optionally configure background, custom_avatar_description, and/or custom_script Step 6: Test [ ] Execute the workflow [ ] Check Google Drive for the output video [ ] Verify metadata was logged to Google Sheets MCP Integration (Optional) This workflow can be exposed to Claude Desktop via n8n's Model Context Protocol (MCP) integration. To enable MCP: Add a Webhook Trigger node to the workflow (in addition to the Manual Trigger) Connect it to the ⚙️ Workflow Configuration node Go to Settings → Instance-level MCP → Enable the workflow Configure Claude Desktop with your n8n MCP server URL Claude Desktop Configuration (Windows): { "mcpServers": { "n8n-mcp": { "command": "supergateway", "args": [ "--streamableHttp", "https://YOUR_N8N_INSTANCE.app.n8n.cloud/mcp-server/http", "--header", "authorization:Bearer YOUR_MCP_ACCESS_TOKEN" ] } } } > Note: Install supergateway globally first: npm install -g supergateway Limitations & Notes Technical Limitations tmpfiles.org**: Temporary file URLs expire after ~1 hour. Final videos are safe in Google Drive. VEED processing**: Takes 1-3 minutes for the talking head. Creatomate processing**: Takes 30-60 seconds for composition. Total workflow time**: ~3-5 minutes per video. Content Considerations Scripts are optimized for 25-40 seconds (TTS-friendly) Avatar images are AI-generated (not real people) Slides are dynamically generated based on script length Slide count: 5-7 slides depending on script duration Best Practices Start simple: Test with default settings before customizing Review scripts: Claude generates good content but review before posting Monitor costs: Check API usage dashboards weekly Use backgrounds: Adding a background image creates a more polished look Match voice to content: Use Spanish voices for Spanish content Troubleshooting | Issue | Solution | |-------|----------| | "Organization must be verified" | Verify at platform.openai.com/settings/organization/general | | VEED authentication error | Re-add FAL.ai credential to VEED node | | Google Drive "no binary field" | Ensure Download Video outputs to binary field | | JSON parse error from Claude | Workflow has fallback content; check Claude node output | | Slides not matching script | Increase seconds_per_slide for fewer slides | | Avatar cut off in PiP | Avatar is designed for right-side placement | | MCP "Server disconnected" | Install supergateway globally: npm install -g supergateway | | Render timeout | Increase wait time in "⏳ Wait for Render" node | Version History | Version | Date | Changes | |---------|------|---------| | 2.1 | Jan 2026 | Renamed workflow, improved documentation with section sticky notes, consolidated setup information | | 2.0 | Jan 2026 | Added dynamic slide count, background options, FAL Flux Pro for slides, improved PiP layout | | 1.0 | Jan 2026 | Initial release with fixed slide count, basic composition | Credits Built with: n8n** - Workflow automation Anthropic Claude** - Script & slide prompt generation OpenAI** - Avatar image generation FAL.ai** - Slide image generation (Flux Pro) ElevenLabs** - Voice synthesis VEED Fabric** - AI lip-sync video rendering Creatomate** - Video composition Google Workspace** - Storage & logging