Workflow Templates

💥 Viral TikTok Video Machine: Auto-Create Videos with Your AI Avatar 🎯 Who is this for? This workflow is for content creators, marketers, and agencies who want to use Veed.io’s AI avatar technology to produce short, engaging TikTok videos automatically. It’s ideal for creators who want to appear on camera without recording themselves, and for teams managing multiple brands who need to generate videos at scale. ⚙️ What problem this workflow solves Manually creating videos for TikTok can take hours — finding trends, writing scripts, recording, and editing. By combining Veed.io, ElevenLabs, and GPT-4, this workflow transforms a simple Telegram input into a ready-to-post TikTok video featuring your AI avatar powered by Veed.io — speaking naturally with your cloned voice. 🚀 What this workflow does This automation links Veed.io’s video-generation API with multiple AI tools: Analyzes TikTok trends via Perplexity AI Writes a 10-second viral script using GPT-4 Generates your voiceover via ElevenLabs Uses Veed.io (Fabric 1.0 via FAL.ai) to animate your avatar and sync the lips to the voice Creates an engaging caption + hashtags for TikTok virality Publishes the video automatically via Blotato TikTok API Logs all results to Google Sheets for tracking 🧩 Setup Telegram Bot Create your bot via @BotFather Configure it as the trigger for sending your photo and theme Connect Veed.io Create an account on Veed.io Get your FAL.ai API key (Veed Fabric 1.0 model) Use HTTPS image/audio URLs compatible with Veed Fabric Other APIs Add Perplexity, ElevenLabs, and Blotato TikTok keys Connect your Google Sheet for logging results 🛠️ How to customize this workflow Change your Avatar:* Upload a new image through Telegram, and *Veed.io** will generate a new talking version automatically. Modify the Script Style:** Adjust the GPT prompt for tone (educational, funny, storytelling). Adjust Voice Tone:* Tweak *ElevenLabs** stability and similarity settings. Expand Platforms:** Add Instagram, YouTube Shorts, or X (Twitter) posting nodes. Track Performance:** Customize your Google Sheet to measure your most successful Veed.io-based videos. 🧠 Expected Outcome In just a few seconds after sending your photo and theme, this workflow — powered by Veed.io — creates a fully automated TikTok video featuring your AI avatar with natural lip-sync and voice. The result is a continuous stream of viral short videos, made without cameras, editing, or effort. ✅ Import the JSON file in n8n, add your API keys (including Veed.io via FAL.ai), and start generating viral TikTok videos starring your AI avatar today! 🎥 Watch This Tutorial 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube

This n8n template demonstrates a complete AI-driven content pipeline for social media. It automatically generates captions and hashtags for new product images, collects human approval via Telegram, and publishes approved content to Twitter. It’s ideal for marketers, e-commerce businesses, and creators who want to speed up content creation while keeping human oversight. How it works Trigger: The workflow starts when a new file is added to a specific Google Drive folder. File Analysis: The image is processed to extract product information. AI Captioning: Gemini generates a caption and five relevant hashtags based on the product. Telegram Approval: The image, caption, and hashtags are sent to the user for approval. ✅ If approved → The content is posted to Twitter and a confirmation is sent back via Telegram. 🔄 If regenerate → Gemini creates a new caption and hashtags, and the approval loop repeats. ❌ If discard → A message is sent on Telegram and the workflow ends. Requirements Google Drive account Gemini API credentials for captioning and hashtags Telegram bot for approvals Twitter Developer Account with API credentials Customising this workflow Swap Google Drive with Dropbox, Notion, or Airtable as the content source. Extend publishing to LinkedIn, Instagram, or multiple platforms. Add multi-user approval flows in Telegram for team-based decisions.

🧾 Automated Trip Expense Claim Form With OpenAI Agent & Google Drive Watch the demo video below: > This workflow is designed for employees who need to submit expense claims for business trips. It automates the process of extracting data from receipts/invoices, logging it to a Google Sheet, and notifying the finance team via email. 👤 Who’s it for Ideal users: Employees submitting business trip expense claims HR or Admins reviewing travel-related reimbursements Finance teams responsible for processing claims ⚙️ How it works / What it does Employee submits a form with trip information (name, department, purpose, dates) and uploads one or more receipts/invoices (PDF). Uploaded files are saved to Google Drive for record-keeping. Each PDF is passed to a DocClaim Assistant agent, which uses GPT-4o and a structured parser to extract structured invoice data. The data is transformed and formatted into a standard JSON structure. Two parallel paths are followed: Invoice records are appended to a Google Sheet for centralized tracking. A detailed HTML email summarizing the trip and expenses is generated and sent to the finance department for claim processing. 🛠 How to set up Create a form to capture: Employee Name Department Trip Purpose From Date / To Date Receipt/Invoice File Upload (multiple PDFs) Configure file upload node to store files in a specific Google Drive folder. Set up DocClaim Agent using: GPT-4o or any LLM with document analysis capability Output parser for standardizing extracted receipt data (e.g., vendor, total, tax, date) Transform extracted data into a structured claim record (Code Node). Path 1: Save records to a Google Sheet (one row per expense). Path 2: Format the employee + claim data into a dynamic HTML email Use Send Email node to notify the finance department (e.g., finance@yourcompany.com) ✅ Requirements n8n running with access to: Google Drive API (for file uploads) Google Sheets API (for logging expenses) Email node (SMTP or Gmail for sending) GPT-4o or equivalent LLM with document parsing ability PDF invoices with clear formatting Shared Google Sheet for claim tracking Optional: Shared inbox for finance team 🧩 How to customize the workflow Add approval steps**: route the email to a manager before finance Attach original PDFs**: include uploaded files in the email as attachments Localize for other languages**: adapt form labels, email content, or parser prompts Sync to ERP or accounting system**: replace Google Sheet with QuickBooks, Xero, etc. Set limits/validation**: enforce max claim per trip or required fields before submission Auto-tag expenses**: add categories (e.g., travel, accommodation) for better reporting

How It Works This workflow automates comprehensive real estate investment analysis by orchestrating specialized AI agents to evaluate property data, market trends, and financial metrics. Designed for real estate investors, portfolio managers, and property analysts managing multiple properties or evaluating acquisition opportunities, it eliminates the manual research and analysis that typically requires days of work across multiple data sources. The system aggregates data from real estate APIs, market databases, and local statistics, then deploys specialized agents: performance analysis evaluates ROI and cash flow, recommendation engines identify optimal properties, market analysis assesses location trends, sentiment analysis mines reviews and local feedback, and workflow tools calculate financial projections. An orchestrator coordinates these agents to generate consolidated investment reports with property rankings, risk assessments, and portfolio recommendations. Results populate Google Sheets dashboards and trigger email notifications, transforming weeks of analysis into automated insights delivered in hours. Setup Steps Configure real estate API credentials (Zillow/Realtor.com) Add market data API keys for local statistics and demographics Input NVIDIA API keys for all OpenAI Model nodes Set OpenAI API key in Team Collaboration Agent/Orchestrator Configure Calculator Tool parameters for financial projections Connect Google Sheets and specify portfolio tracking spreadsheet ID Set up Gmail credentials and specify recipient addresses for reports Prerequisites NVIDIA API access, OpenAI API key, real estate data API subscriptions Use Cases Multi-property portfolio analysis, acquisition opportunity screening. Customization Adjust investment criteria thresholds, add custom financial metrics Benefits Reduces analysis time by 90%, evaluates unlimited properties simultaneously

💥 Clone Video Ads Factory using NanoBanana, Kling and Publish with Blotato 📄 Documentation: Notion Guide Who is this for? This workflow is built for marketers, growth hackers, agencies, content creators, and automation builders who want to industrialize video ad production. Perfect for anyone running paid ads, social media campaigns, UGC-style content, dropshipping creatives, AI ad testing, or scalable content factories. What problem is this workflow solving? / Use case Creating high-performing video ads is: Slow Manual Expensive Hard to scale Hard to test in volume This workflow solves: ❌ Manual editing ❌ Manual prompt writing ❌ Manual scene creation ❌ Manual video assembly ❌ Manual audio integration ❌ Manual publishing It turns one input video + prompt into a fully automated ad production pipeline. What this workflow does This automation system acts as a full AI video ads factory: Step-by-step pipeline: Video Analysis Breaks down the source video into cinematic scenes Extracts structure, rhythm, composition, pacing, and visual logic Prompt Engineering Generates structured prompts for: Images Videos Music Captions Global script Scene structure Image Generation Uses NanoBanana to generate consistent AI images per scene Keeps visual identity across scenes Video Generation Uses Kling to generate cinematic video clips Scene-based video creation Video Merging Automatically merges all generated scenes into one final video Music Generation Generates a full song from prompt (AI music model) Audio + Video Merge Merges generated music with the final video Publishing Automatically publishes content using Blotato Creates posts and media assets ➡️ Result: Fully automated AI video ad production system Setup Required accounts: Airtable fal.ai AtlasCloud** Blotato** Initial configuration: Create Airtable base Add required fields: Original Video Avatar Image Product Image Status Prompts Scenes Music File Final Video Add API keys in the Setup nodes: AtlasCloud fal.ai Airtable Blotato Expected outcome You get a fully automated AI content factory that can: Clone ad styles Scale ad production Test creatives at scale Generate UGC-style ads Build content farms Automate marketing pipelines Create AI ad studios Run continuous ad experiments Typical use cases AI UGC ad factories Dropshipping ad automation SaaS promo videos Influencer content cloning Brand video scaling Marketing automation Ad testing labs Growth hacking pipelines AI content studios 👋 Need help or want to customize this? 📩 Contact: LinkedIn 📺 YouTube: @DRFIRASS 🚀 Workshops: Mes Ateliers n8n Need help customizing? Contact me for consulting and support : Linkedin / Youtube / 🚀 Mes Ateliers n8n

This n8n workflow allows you to update user roles in Zammad based on data from an Excel file. The workflow automates role assignments, ensuring efficient and consistent updates. Features Excel Integration**: Import user data from an Excel file containing emails and role assignments. Dynamic Updates**: Match Zammad users by email and update their roles. Error Handling**: Continue workflow execution even if some updates fail. Customizable Variables**: Configure Zammad API URL, API key, and Excel file URL. Usage Import the Workflow: Upload the provided .json file into your n8n instance. Set Variables: zammad_base_url: Your Zammad instance URL. excel_source_url: URL of the Excel file containing user data. Authentication for Zammad Create in the Node "Find Zammad User by email" and "Update User Roles" a Header Auth Authentication Name**: Authorization Value**: Bearer <put here your zammad api token> Run the Workflow: Execute the workflow to update user roles based on the Excel data. Issues and Suggestions For issues or suggestions, visit the GitHub Repository.

Ibm Granite Granite Speech 3.3 8b Text Generator Description Granite-speech-3.3-8b is a compact and efficient speech-language model, specifically designed for automatic speech recognition (ASR) and automatic speech translation (AST). Overview This n8n workflow integrates with the Replicate API to use the ibm-granite/granite-speech-3.3-8b model. This powerful AI model can generate high-quality text content based on your inputs. Features Easy integration with Replicate API Automated status checking and result retrieval Support for all model parameters Error handling and retry logic Clean output formatting Parameters Optional Parameters seed** (integer, default: None): Random seed. Leave blank to randomize the seed. audio** (array, default: None): Audio inputs for the model. top_k** (integer, default: 50): The number of highest probability tokens to consider for generating the output. If > 0, only keep the top k tokens with highest probability (top-k filtering). top_p** (number, default: 0.9): A probability threshold for generating the output. If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751). prompt** (string, default: ): User prompt to send to the model. max_tokens** (integer, default: 512): The maximum number of tokens the model should generate as output. min_tokens** (integer, default: 0): The minimum number of tokens the model should generate as output. temperature** (number, default: 0.6): The value used to modulate the next token probabilities. chat_template** (string, default: None): A template to format the prompt with. If not provided, the default prompt template will be used. system_prompt** (string, default: None): System prompt to send to the model.The chat template provides a good default. How to Use Set up your Replicate API key in the workflow Configure the required parameters for your use case Run the workflow to generate text content Access the generated output from the final node API Reference Model: ibm-granite/granite-speech-3.3-8b API Endpoint: https://api.replicate.com/v1/predictions Requirements Replicate API key n8n instance Basic understanding of text generation parameters

Do you want to create a website screenshot without browser extensions? This workflow creates screenshots of any website using the uProc Get Screenshot by URL tool and sends an email with the screenshots. You need to add your credentials (Email and API Key - real -) located at Integration section to n8n. Node "Create Web + Email Item" can be replaced by any other supported service returning Website and Email values, like Google Sheets, Mailchimp, MySQL, or Typeform. Every "uProc" node returns an image URL of the captured website. This generated URL will remain only 24 hours in our server. You can set up the uProc node with several parameters: width: you can choose one of the predefined values to generate the screenshot, or you can set up a custom width you want. full-page: the tool will return a screenshot of the website from top to bottom with the defined width. In our workflow, we generate two screenshots: 1) One screenshot of 640 pixels width. 2) One full-page screenshot of 640 pixels width. Screenshots are downloaded by "Get File" nodes and saved to the screenshots folder in Dropbox. Finally, we use the Amazon SES node to send an HTML email with both screenshots to the specified email. We will receive the next email:

Prunaai Hidream E1.1 Image Generator Description Edit an image with a prompt. This is the hidream-e1.1 model accelerated with the pruna optimisation engine. Overview This n8n workflow integrates with the Replicate API to use the prunaai/hidream-e1.1 model. This powerful AI model can generate high-quality image content based on your inputs. Features Easy integration with Replicate API Automated status checking and result retrieval Support for all model parameters Error handling and retry logic Clean output formatting Parameters Required Parameters prompt** (string): Prompt Optional Parameters seed** (integer, default: -1): Random seed (-1 for random) image** (string, default: None): Input image to edit. speed_mode** (string, default: Juiced 🔥 (more speed)): Speed optimization level clip_cfg_norm** (boolean, default: True): Whether to use CLIP CFG normalization output_format** (string, default: webp): Output format guidance_scale** (number, default: 2.5): Guidance scale output_quality** (integer, default: 100): Output quality (for jpg and webp) refine_strength** (number, default: 0.3): Strength of refinement num_inference_steps** (integer, default: 28): Number of inference steps image_guidance_scale** (number, default: 1): Image guidance scale How to Use Set up your Replicate API key in the workflow Configure the required parameters for your use case Run the workflow to generate image content Access the generated output from the final node API Reference Model: prunaai/hidream-e1.1 API Endpoint: https://api.replicate.com/v1/predictions Requirements Replicate API key n8n instance Basic understanding of image generation parameters

Bytedance Seedance 1 Lite Video Generator Description A video generation model that offers text-to-video and image-to-video support for 5s or 10s videos, at 480p and 720p resolution Overview This n8n workflow integrates with the Replicate API to use the bytedance/seedance-1-lite model. This powerful AI model can generate high-quality video content based on your inputs. Features Easy integration with Replicate API Automated status checking and result retrieval Support for all model parameters Error handling and retry logic Clean output formatting Parameters Required Parameters prompt** (string): Text prompt for video generation Optional Parameters fps** (string, default: 24): Frame rate (frames per second) seed** (integer, default: None): Random seed. Set for reproducible generation image** (string, default: None): Input image for image-to-video generation duration** (string, default: 5): Video duration in seconds resolution** (string, default: 720p): Video resolution aspect_ratio** (string, default: 16:9): Video aspect ratio. Ignored if an image is used. camera_fixed** (boolean, default: False): Whether to fix camera position last_frame_image** (string, default: None): Input image for last frame generation. This only works if an image start frame is given too. How to Use Set up your Replicate API key in the workflow Configure the required parameters for your use case Run the workflow to generate video content Access the generated output from the final node API Reference Model: bytedance/seedance-1-lite API Endpoint: https://api.replicate.com/v1/predictions Requirements Replicate API key n8n instance Basic understanding of video generation parameters

This workflow demonstrates how to merge data for different executions. The Merge Data Function node fetches the data from different executions of the RSS Feed Read node and merges them under a single object. Note: If you want to process the items that get merged, you will have to convert the single item into n8n understandable multiple items.

This automation runs daily at 8:00 AM to automatically collect and organize business idea insights from IdeaBrowser.com into a structured Google Docs document. The workflow performs the following actions: Data Collection: Fetches the "idea of the day" content from ideabrowser.com/idea-of-the-day using authenticated HTTP requests. Content Processing: Extracts the base idea path and generates links to all related insight pages including value ladder, market analysis, proof signals, execution plans, and community insights. The workflow also cleans the HTML content to extract readable text. Document Creation: Creates a new Google Docs document in a specified folder with a timestamp and idea name in the title format. Content Aggregation: Systematically visits each insight page (main idea page, value ladder, why now, proof signals, market gap, execution plan, value equation, value matrix, ACP, community signals, and keywords) and collects their content. Document Population: Processes the collected content through markdown formatting and appends it to the Google Docs document, creating a comprehensive report of the daily business idea with all its associated insights. Automated Scheduling: Runs automatically every day at 8 AM, ensuring you have fresh business idea analysis delivered to your Google Drive without manual intervention. This automation is perfect for entrepreneurs, business analysts, or anyone who wants to stay updated with curated business ideas and their detailed market analysis in an organized, searchable format.