Create videos with AI-generated backgrounds using Gemini and VideoBGRemover
Automated workflow that generates custom AI image backgrounds from text prompts using Gemini's Nano Banana (native image generation), removes video backgrounds, and composites videos on AI-generated scenes. Create any background you can imagine without needing stock images.
How it works
• Describe background: Provide video URL and text prompt describing desired background scene (e.g., "modern office with city skyline at golden hour") • AI generates image: Gemini creates a background image from your prompt in ~10-20 seconds • Upload to Drive: Generated background is saved to Google Drive and made publicly accessible • Remove & composite: Video background is removed and composited on AI-generated scene with centered template • Save final video: Completed video is uploaded to Google Drive with shareable link
Set up steps
⏱️ Total setup time: ~5 minutes
• Get Gemini API Key (~1 min): Visit https://aistudio.google.com/apikey, create new API key, add to n8n Settings → Variables as GEMINI_KEY
• Get VideoBGRemover API Key (~2 min): Visit https://videobgremover.com/n8n, sign up, add to n8n as VIDEOBGREMOVER_KEY
• Connect Google Drive (~2 min): Click "Save Background Image to Drive" node, click "Connect", authorize n8n
Use cases:
- Marketing videos with custom branded environments tailored to your message
- Product demos with unique AI-generated backgrounds that match your product aesthetic
- Social media content with creative scenes you can't find in stock libraries
- AI avatars placed in AI-generated worlds
- Presentations with custom backgrounds generated for specific topics
- A/B testing different background variations for the same video
Pricing:
- Gemini: ~$0.03 per generated image
- VideoBGRemover: $0.50-$2.00 per minute of video
- Total: ~$0.53-$2.03 per video
Triggers: Webhook (for automation) or Manual (for testing)
Processing time: Typically 5-7 minutes total
Prompt tips: Be descriptive and specific. Instead of "office," try: "A modern minimalist office with floor-to-ceiling windows overlooking a city skyline at golden hour. Warm sunlight, polished concrete floors, sleek wooden desks, green plants."
n8n Workflow: Basic Workflow Structure Example
This n8n workflow demonstrates a foundational structure for building automated processes. It showcases how to initiate a workflow, introduce conditional logic, manipulate data, and integrate external services, serving as a template for more complex automations.
What it does
This workflow illustrates a basic, yet versatile, automation pattern:
- Starts Manually or via Webhook: The workflow can be triggered either by a manual execution or by an incoming webhook, providing flexibility for different use cases.
- Edits Fields: It includes a "Set" node, allowing for the modification or addition of data fields within the workflow's items.
- Conditional Logic: An "If" node introduces a branching point, enabling the workflow to follow different paths based on specified conditions.
- External HTTP Request: One branch of the "If" node leads to an "HTTP Request" node, demonstrating how to interact with external APIs.
- Google Drive Interaction: The other branch of the "If" node includes a "Google Drive" node, showing how to integrate with Google Drive services.
- Code Execution: A "Code" node is present, allowing for custom JavaScript logic to be executed within the workflow.
- Pause Execution: A "Wait" node is used to introduce a delay in the workflow's execution.
- Merge Paths: A "Merge" node combines the different branches back into a single flow.
- Responds to Webhook: If triggered by a webhook, the workflow can send a custom response back to the caller.
Prerequisites/Requirements
- n8n Instance: You need a running n8n instance to import and execute this workflow.
- Google Drive Account: If you intend to use the Google Drive functionality, you'll need a Google Drive account and an n8n Google Drive credential configured.
- External API Endpoint (Optional): If you plan to use the "HTTP Request" node, you'll need an external API endpoint to send requests to.
Setup/Usage
- Import the Workflow:
- Copy the provided JSON code.
- In your n8n instance, go to "Workflows" and click "New".
- Click the "Import from JSON" button and paste the copied JSON.
- Click "Import".
- Configure Nodes:
- Webhook (Node 47): If you want to trigger the workflow via a webhook, ensure the "Webhook URL" is configured and accessible.
- Edit Fields (Set) (Node 38): Customize the fields you want to set or modify.
- If (Node 20): Define your conditional logic. The workflow will branch based on the outcome of this condition.
- HTTP Request (Node 19): Configure the URL, method, headers, and body for your API request.
- Google Drive (Node 58): Set up your Google Drive credential and configure the operation (e.g., upload file, create folder).
- Code (Node 834): Add your custom JavaScript code to manipulate data as needed.
- Wait (Node 514): Adjust the delay duration as required.
- Respond to Webhook (Node 535): Customize the response you want to send back if the workflow was triggered by a webhook.
- Activate the Workflow: Once configured, activate the workflow by toggling the "Active" switch in the top right corner.
- Execute:
- Manual Trigger: Click "Execute Workflow" to run it manually.
- Webhook Trigger: Send a request to the configured Webhook URL to trigger the workflow.
Related Templates
Document RAG & chat agent: Google Drive to Qdrant with Mistral OCR
Knowledge RAG & AI Chat Agent: Google Drive to Qdrant Description This workflow transforms a Google Drive folder into an intelligent, searchable knowledge base and provides a chat agent to query it. It’s composed of two distinct flows: An ingestion pipeline to process documents. A live chat agent that uses RAG (Retrieval-Augmented Generation) and optional web search to answer user questions. This system fully automates the creation of a “Chat with your docs” solution and enhances it with external web-searching capabilities. --- Quick Implementation Steps Import the workflow JSON into your n8n instance. Set up credentials for Google Drive, Mistral AI, OpenAI, and Qdrant. Open the Web Search node and add your Tavily AI API key to the Authorization header. In the Google Drive (List Files) node, set the Folder ID you want to ingest. Run the workflow manually once to populate your Qdrant database (Flow 1). Activate the workflow to enable the chat trigger (Flow 2). Copy the public webhook URL from the When chat message received node and open it in a new tab to start chatting. --- What It Does The workflow is divided into two primary functions: Knowledge Base Ingestion (Manual Trigger) This flow populates your vector database. Scans Google Drive: Lists all files from a specified folder. Processes Files Individually: Downloads each file. Extracts Text via OCR: Uses Mistral AI OCR API for text extraction from PDFs, images, etc. Generates Smart Metadata: A Mistral LLM assigns metadata like documenttype, project, and assignedto. Chunks & Embeds: Text is cleaned, chunked, and embedded via OpenAI’s text-embedding-3-small model. Stores in Qdrant: Text chunks, embeddings, and metadata are stored in a Qdrant collection (docaiauto). AI Chat Agent (Chat Trigger) This flow powers the conversational interface. Handles User Queries: Triggered when a user sends a chat message. Internal RAG Retrieval: Searches Qdrant Vector Store first for answers. Web Search Fallback: If unavailable internally, the agent offers to perform a Tavily AI web search. Contextual Responses: Combines internal and external info for comprehensive answers. --- Who's It For Ideal for: Teams building internal AI knowledge bases from Google Drive. Developers creating AI-powered support, research, or onboarding bots. Organizations implementing RAG pipelines. Anyone making unstructured Google Drive documents searchable via chat. --- Requirements n8n instance (self-hosted or cloud). Google Drive Credentials (to list and download files). Mistral AI API Key (for OCR & metadata extraction). OpenAI API Key (for embeddings and chat LLM). Qdrant instance (cloud or self-hosted). Tavily AI API Key (for web search). --- How It Works The workflow runs two independent flows in parallel: Flow 1: Ingestion Pipeline (Manual Trigger) List Files: Fetch files from Google Drive using the Folder ID. Loop & Download: Each file is processed one by one. OCR Processing: Upload file to Mistral Retrieve signed URL Extract text using Mistral DOC OCR Metadata Extraction: Analyze text using a Mistral LLM. Text Cleaning & Chunking: Split into 1000-character chunks. Embeddings Creation: Use OpenAI embeddings. Vector Insertion: Push chunks + metadata into Qdrant. Flow 2: AI Chat Agent (Chat Trigger) Chat Trigger: Starts when a chat message is received. AI Agent: Uses OpenAI + Simple Memory to process context. RAG Retrieval: Queries Qdrant for related data. Decision Logic: Found → Form answer. Not found → Ask if user wants web search. Web Search: Performs Tavily web lookup. Final Response: Synthesizes internal + external info. --- How To Set Up Import the Workflow Upload the provided JSON into your n8n instance. Configure Credentials Create and assign: Google Drive → Google Drive nodes Mistral AI → Upload, Signed URL, DOC OCR, Cloud Chat Model OpenAI → Embeddings + Chat Model nodes Qdrant → Vector Store nodes Add Tavily API Key Open Web Search node → Parameters → Headers Add your key under Authorization (e.g., tvly-xxxx). Node Configuration Google Drive (List Files): Set Folder ID. Qdrant Nodes: Ensure same collection name (docaiauto). Run Ingestion (Flow 1) Click Test workflow to populate Qdrant with your Drive documents. Activate Chat (Flow 2) Toggle the workflow ON to enable real-time chat. Test Open the webhook URL and start chatting! --- How To Customize Change LLMs: Swap models in OpenAI or Mistral nodes (e.g., GPT-4o, Claude 3). Modify Prompts: Edit the system message in ai chat agent to alter tone or logic. Chunking Strategy: Adjust chunkSize and chunkOverlap in the Code node. Different Sources: Replace Google Drive with AWS S3, Local Folder, etc. Automate Updates: Add a Cron node for scheduled ingestion. Validation: Add post-processing steps after metadata extraction. Expand Tools: Add more functional nodes like Google Calendar or Calculator. --- Use Case Examples Internal HR Bot: Answer HR-related queries from stored policy docs. Tech Support Assistant: Retrieve troubleshooting steps for products. Research Assistant: Summarize and compare market reports. Project Management Bot: Query document ownership or project status. --- Troubleshooting Guide | Issue | Possible Solution | |------------|------------------------| | Chat agent doesn’t respond | Check OpenAI API key and model availability (e.g., gpt-4.1-mini). | | Known documents not found | Ensure ingestion flow ran and both Qdrant nodes use same collection name. | | OCR node fails | Verify Mistral API key and input file integrity. | | Web search not triggered | Re-check Tavily API key in Web Search node headers. | | Incorrect metadata | Tune Information Extractor prompt or use a stronger Mistral model. | --- Need Help or More Workflows? Want to customize this workflow for your business or integrate it with your existing tools? Our team at Digital Biz Tech can tailor it precisely to your use case from automation logic to AI-powered enhancements. We can help you set it up for free — from connecting credentials to deploying it live. Contact: shilpa.raju@digitalbiz.tech Website: https://www.digitalbiz.tech LinkedIn: https://www.linkedin.com/company/digital-biz-tech/ You can also DM us on LinkedIn for any help. ---
Automated YouTube video uploads with 12h interval scheduling in JST
This workflow automates a batch upload of multiple videos to YouTube, spacing each upload 12 hours apart in Japan Standard Time (UTC+9) and automatically adding them to a playlist. ⚙️ Workflow Logic Manual Trigger — Starts the workflow manually. List Video Files — Uses a shell command to find all .mp4 files under the specified directory (/opt/downloads/单词卡/A1-A2). Sort and Generate Items — Sorts videos by day number (dayXX) extracted from filenames and assigns a sequential order value. Calculate Publish Schedule (+12h Interval) — Computes the next rounded JST hour plus a configurable buffer (default 30 min). Staggers each video’s scheduled time by order × 12 hours. Converts JST back to UTC for YouTube’s publishAt field. Split in Batches (1 per video) — Iterates over each video item. Read Video File — Loads the corresponding video from disk. Upload to YouTube (Scheduled) — Uploads the video privately with the computed publishAtUtc. Add to Playlist — Adds the newly uploaded video to the target playlist. 🕒 Highlights Timezone-safe: Pure UTC ↔ JST conversion avoids double-offset errors. Sequential scheduling: Ensures each upload is 12 hours apart to prevent clustering. Customizable: Change SPANHOURS, BUFFERMIN, or directory paths easily. Retry-ready: Each upload and playlist step has retry logic to handle transient errors. 💡 Typical Use Cases Multi-part educational video series (e.g., A1–A2 English learning). Regular content release cadence without manual scheduling. Automated YouTube publishing pipelines for pre-produced content. --- Author: Zane Category: Automation / YouTube / Scheduler Timezone: JST (UTC+09:00)
Newsletter signup flow with Email Verification API, Gmail & Google Sheets tracking
Newsletter Sign-up with Email Verification & Welcome Email Automation 📋 Description A complete, production-ready newsletter automation workflow that validates email addresses, sends personalized welcome emails, and maintains comprehensive logs in Google Sheets. Perfect for marketing teams, content creators, and businesses looking to build high-quality email lists with minimal manual effort. ✨ Key Features Email Verification Real-time validation using Verifi Email API Checks email format (RFC compliance) Verifies domain existence and MX records Detects disposable/temporary email addresses Identifies potential spoofed emails Automated Welcome Emails Personalized HTML emails with subscriber's first name Beautiful, mobile-responsive design with gradient headers Branded confirmation and unsubscribe links Sent via Gmail (or SMTP) automatically to valid subscribers Smart Data Handling Comprehensive logging to Google Sheets with three separate tabs Handles incomplete submissions gracefully Preserves original user data throughout verification process Tracks source attribution for multi-channel campaigns Error Management Automatic retry logic on API failures Separate logging for different error types Detailed technical reasons for invalid emails No data loss with direct webhook referencing 🎯 Use Cases Newsletter sign-ups on websites and landing pages Lead generation forms with quality control Marketing campaigns requiring verified email lists Community building with automated onboarding SaaS product launches with email collection Content creator audience building E-commerce customer list management 📊 What Gets Logged Master Log (All Subscribers) Timestamp, name, email, verification result Verification score and email sent status Source tracking, disposable status, domain info Invalid Emails Log Detailed rejection reasons Technical diagnostic information MX record status, RFC compliance Provider information for troubleshooting Invalid Submissions Log Incomplete form data Missing required fields Timestamp for follow-up 🔧 Technical Stack Trigger: Webhook (POST endpoint) Email Verification: Verifi Email API Email Sending: Gmail OAuth2 (or SMTP) Data Storage: Google Sheets (3 tabs) Processing: JavaScript code nodes for data formatting 🚀 Setup Requirements Google Account - For Sheets and Gmail integration Verifi Email API Key - (https://verifi.email) Google Sheets - Pre-configured with 3 tabs (template provided) 5-10 minutes - Quick setup with step-by-step instructions included 📈 Benefits ✅ Improve Email Deliverability - Remove invalid emails before sending campaigns ✅ Reduce Bounce Rates - Only send to verified, active email addresses ✅ Save Money - Don't waste email credits on invalid addresses ✅ Better Analytics - Track conversion rates by source ✅ Professional Onboarding - Personalized welcome experience ✅ Scalable Solution - Handles high-volume sign-ups automatically ✅ Data Quality - Build a clean, high-quality subscriber list 🎨 Customization Options Email Template - Fully customizable HTML design Verification Threshold - Adjust score requirements Brand Colors - Match your company branding Confirmation Flow - Add double opt-in if desired Multiple Sources - Track different signup forms Language - Easily translate email content 📦 What's Included ✅ Complete n8n workflow JSON (ready to import) ✅ Google Sheets template structure ✅ Responsive HTML email template ✅ Setup documentation with screenshots ✅ Troubleshooting guide ✅ Customization examples 🔒 Privacy & Compliance GDPR-compliant with unsubscribe links Secure data handling via OAuth2 No data shared with third parties Audit trail in Google Sheets Easy data deletion/export 💡 Quick Stats 12 Nodes - Fully automated workflow 3 Data Paths - Valid, invalid, and incomplete submissions 100% Uptime - When properly configured Instant Processing - Real-time email verification Unlimited Scale - Based on your API limits 🏆 Perfect For Marketing Agencies SaaS Companies Content Creators E-commerce Stores Community Platforms Educational Institutions Membership Sites Newsletter Publishers 🌟 Why Use This Workflow? Instead of manually verifying emails or dealing with bounce complaints, this workflow automates the entire process from sign-up to welcome email. Save hours of manual work, improve your email deliverability, and create a professional first impression with every new subscriber. Start building a high-quality email list today! ---