Automate AI video creation & multi-platform publishing with GPT-4, Veo 3.1 & Blotato
π₯ Automate AI Video Creation & Multi-Platform Publishing with Veo 3.1 & Blotato π― Who is this for? This workflow is designed for content creators, marketers, and automation enthusiasts who want to produce professional AI-generated videos and publish them automatically on social media β without editing or manual uploads. Perfect for those using Veo 3.1, GPT-4, and Blotato to scale video creation. --- π‘ What problem is this workflow solving? Creating short-form content (TikTok, Instagram Reels, YouTube Shorts) is time-consuming β from writing scripts to video editing and posting. This workflow eliminates the manual steps by combining AI storytelling + video generation + automated publishing, letting you focus on creativity while your system handles production and distribution. --- βοΈ What this workflow does Reads new ideas from Google Sheets Generates story scripts using GPT-4 Creates cinematic videos using Veo 3.1 (fal.ai/veo3.1/reference-to-video) with 3 input reference images Uploads the final video automatically to Google Drive Publishes the video across multiple platforms (TikTok, Instagram, Facebook, X, LinkedIn, YouTube) via Blotato Updates Google Sheets with video URL and status (Completed / Failed) --- 𧩠Setup Required accounts: OpenAI β GPT-4 API key fal.ai β Veo 3.1 API key Google Cloud Console β Sheets & Drive connection Blotato β API key for social media publishing Configuration steps: Copy the Google Sheets structure: A: id_video B: niche C: idea D: url_1 E: url_2 F: url_3 G: url_final H: status Add your API keys to the Workflow Configuration node. Insert three image URLs and a short idea into your sheet. Wait for the automation to process and generate your video. --- π§ How to customize this workflow Change duration or aspect ratio β Edit the Veo 3.1 node JSON body (duration, aspect_ratio) Modify prompt style β Adjust the βOptimize Prompt for Veoβ node for your desired tone or cinematic look Add more platforms β Extend Blotato integration to publish on Pinterest, Reddit, or Threads Enable Telegram Trigger β Allow users to submit ideas and images directly via Telegram --- π Expected Outcome Within 2β3 minutes, your idea is transformed into a full cinematic AI video β complete with storytelling, visuals, and automatic posting to your social media channels. Save hours of editing and focus on strategy, creativity, and growth. --- π Need help or want to customize this? π© Contact: LinkedIn πΊ YouTube: @DRFIRASS π Workshops: Mes Ateliers n8n --- π Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube / π Mes Ateliers n8n
By Dr. FirasEvaluation metric example: RAG document relevance
AI evaluation in n8n This is a template for n8n's evaluation feature. Evaluation is a technique for getting confidence that your AI workflow performs reliably, by running a test dataset containing different inputs through the workflow. By calculating a metric (score) for each input, you can see where the workflow is performing well and where it isn't. How it works This template shows how to calculate a workflow evaluation metric: retrieved document relevance (i.e. whether the information retrieved from a vector store is relevant to the question). The workflow takes a question and checks whether the information retrieved to answer it is relevant. To run this workflow, you need to insert documents into a vector data store, so that they can be retrieved by the agent to answer questions. You can do this by running the top part of the workflow once. The main workflow works as follows: We use an evaluation trigger to read in our dataset It is wired up in parallel with the regular trigger so that the workflow can be started from either one. More info We make sure that the agent outputs the list data from the tools that it used If weβre evaluating (i.e. the execution started from the evaluation trigger), we calculate the relevance metric using AI to compare the retrieved documents with the question We pass this information back to n8n as a metric If weβre not evaluating we avoid calculating the metric, to reduce cost
By David RobertsAutomated blog generation with Gemini AI, GitHub & Jekyll publishing
π Use Case This n8n workflow automates the creation and publication of technical blog posts based on a list of topics stored in Google Sheets. It fetches context using Tavily and Wikipedia, generates Markdown-formatted content with Gemini AI, commits it to a GitHub repository, and updates a Jekyll-powered blog β all without manual intervention. Ideal for developers, bloggers, or content teams who want to streamline technical content creation and publishing. --- βοΈ Setup Instructions π Prerequisites n8n (cloud or self-hosted) Tavily API key Google Sheets with blog topics Gemini (Google Palm) API key GitHub repository (Jekyll enabled) GitHub OAuth2 credentials Google OAuth2 credentials 𧩠Setup Steps Import the workflow JSON into your n8n instance. Set up the following credentials in n8n: Tavily API Google Sheets OAuth2 Google Palm/Gemini AI GitHub OAuth2 Prepare your Google Sheet: Columns: Title, status, row_number Set status to blank for topics to be picked up. Configure: GitHub repo and _posts/ path Jekyll setup (front matter, _config.yml, GitHub Pages) Adjust prompt/custom parameters if needed. Enable and deploy the workflow. Schedule it daily or trigger manually. --- π Workflow Details | Node | Function | |------|----------| | Schedule Trigger | Triggers the flow at a set interval | | Google Sheets (Get Topic) | Fetches the next incomplete blog topic | | Extract Topic | Parses topic text from the sheet | | Tavily Search | Gathers up-to-date content related to the topic | | Wikipedia Tool | Optionally adds more context or images | | Summarize Results | Formats the context for the AI | | Gemini AI Agent (LangChain) | Generates a Markdown blog post with YAML front matter | | Set File Parameters | Prepares the filename, content, and commit message | | GitHub Commit | Uploads the .md file to the _posts/ directory | | Update Google Sheet | Marks topic as done after successful commit | --- π οΈ Customization Options Change LLM prompt (e.g. tone, depth, format). Use OpenAI instead of Gemini by switching nodes. Modify filename pattern or GitHub repo path. Add Slack/Discord notifications after publish. Extend flow to upload images or embed YouTube links. --- β οΈ Community Nodes Used This workflow uses the following community nodes: @tavily/n8n-nodes-tavily.tavily β for deep search > β οΈ Ensure these are installed and enabled in your n8n instance. --- π‘ Pro Tips Use GitHub Actions to trigger an automatic Jekyll build post-commit. Structure blog posts with front matter, headings, and table of contents for SEO. Set Schedule Trigger to daily at a fixed time to keep content flowing. Enhance formatting in AI output using code blocks, images, and lists. --- β Example Output markdown --- title: "How LLMs Are Changing Web Development" date: "2025-07-25" categories: [webdev, AI] tags: [LLM, Gemini, n8n, automation] excerpt: "Learn how LLMs like Gemini are transforming how we generate and deploy developer content." author: "Saswat Saubhagya" --- Table of Contents Introduction Understanding LLMs Use Cases in Web Development Challenges Conclusion ...
By Saswat Saubhagya RoutEbook to audiobook converter using MiniMax and FFmpeg
Ebook to Audiobook Converter [](https://youtu.be/xKqkjXIPZoM) βΆοΈ Watch Full Demo Video --- What It Does Turn any PDF ebook into a professional audiobook automatically. Upload a PDF, get an MP3 audiobook in your Google Drive. Perfect for listening to books, research papers, or documents on the go. Example: Input PDF β Output Audiobook Key Features Upload PDF via web form β Get MP3 audiobook in Google Drive Natural-sounding AI voices (MiniMax Speech-02-HD) Automatic text extraction, chunking, and audio merging Customizable voice, speed, and emotion settings Processes long books in batches with smart rate limiting Perfect For Students: Turn textbooks into study audiobooks Professionals: Listen to reports and documents while commuting Content Creators: Repurpose written content as audio Accessibility: Make content accessible to visually impaired users Requirements | Component | Details | |-----------|---------| | n8n | Self-hosted ONLY (cannot run on n8n Cloud) | | FFmpeg | Must be installed in your n8n environment | | Replicate API | For MiniMax TTS (Sign up here) | | Google Drive | OAuth2 credentials + "Audiobook" folder | β οΈ Important: This workflow does NOT work on n8n Cloud because FFmpeg installation is required. Quick Setup Install FFmpeg Docker users: bash docker exec -it <n8n-container-name> /bin/bash apt-get update && apt-get install -y ffmpeg Native installation: bash sudo apt-get install ffmpeg Linux brew install ffmpeg macOS Get API Keys Replicate: Sign up at replicate.com and copy your API token Google Drive: Set up OAuth2 in n8n and create an "Audiobook" folder in Drive Import & Configure Import n8n.json into your n8n instance Replace the Replicate API token in the "MINIMAX TTS" node Configure Google Drive credentials and select your "Audiobook" folder Activate the workflow Cost Estimate | Component | Cost | |-----------|------| | MiniMax TTS API | ~$0.15 per 1000 characters (~$3-5 for average book) | | Google Drive Storage | Free (up to 15GB) | | Processing Time | ~1-2 minutes per 10 pages | How It Works PDF Upload β Extract Text β Split into Chunks β Convert to Speech (batches of 5) β Merge Audio Files (FFmpeg) β Upload to Google Drive The workflow uses four main modules: Extraction: PDF text extraction and intelligent chunking Conversion: MiniMax TTS processes text in batches Merging: FFmpeg combines all audio files seamlessly Upload: Final audiobook saved to Google Drive Voice Settings (Customizable) json { "voiceid": "FriendlyPerson", "emotion": "happy", "speed": 1, "pitch": 0 } Available emotions: happy, neutral, sad, angry, excited Limitations β οΈ Self-hosted n8n ONLY (not compatible with n8n Cloud) PDF files only (not EPUB, MOBI, or scanned images) Large books (500+ pages) take longer to process Requires FFmpeg installation (see setup above) Troubleshooting FFmpeg not found? Docker: Run docker exec -it <container> /bin/bash then apt-get install ffmpeg Native: Run sudo apt-get install ffmpeg (Linux) or brew install ffmpeg (macOS) Rate limit errors? Increase wait time in the "WAITS FOR 5 SECONDS" node to 10-15 seconds Google Drive upload fails? Make sure you created the "Audiobook" folder in your Google Drive Reconfigure OAuth2 credentials in n8n --- Created by emp0 | More workflows: n8n Gallery
By Jay Emp0Generate influencer posts with GPT-4, Google Sheets, and Media APIs
This template transforms uploaded brand assets into AI-generated influencer-style posts β complete with captions, images, and videos β using n8n, OpenAI, and your preferred image/video generation APIs. --- π§ Who itβs for Marketers, creators, or brand teams who want to speed up content ideation and visual generation. Perfect for social-media teams looking to turn product photos and brand visuals into ready-to-review creative posts. --- βοΈ How it works Upload your brand assets β A form trigger collects up to three files: product, background, and prop. AI analysis & content creation β An OpenAI LLM analyzes your brand tone and generates post titles, captions, and visual prompts. Media generation β Connected image/video generation workflows create corresponding visuals. Result storage β All captions, image URLs, and video URLs are automatically written to a Google Sheet for review or publishing. --- 𧩠How to set it up Replace all placeholders in nodes: <<YOURSHEETID>> <<FILEUPLOADBASE>> <<YOURAPIKEY>> <<YOURN8NDOMAIN>>/form/<<FORM_ID>> Add your own credentials in: Google Sheets HTTP Request AI/LLM nodes Execute the workflow or trigger via form. Check your connected Google Sheet for generated posts and media links. --- π οΈ Requirements | Tool | Purpose | |------|----------| | OpenAI / compatible LLM key | Caption & idea generation | | Image/Video generation API | Creating visuals | | Google Sheets credentials | Storing results | | (Optional) n8n Cloud / self-hosted | To run the workflow | --- π§ Notes The workflow uses modular sub-workflows for image and video creation; you can connect your own generation nodes. All credentials and private URLs have been removed. Works seamlessly with both n8n Cloud and self-hosted setups. Output is meant for creative inspiration β review before posting publicly. --- 𧩠Why itβs useful Speeds up campaign ideation and content creation. Provides structured, reusable results in Google Sheets. Fully visual, modular, and customizable for any brand or industry. --- π§ Example Use Cases Influencer campaign planning Product launch creatives E-commerce catalog posts Fashion, lifestyle, or tech brand content --- β Security & best practices No hardcoded keys or credentials included. All private URLs replaced with placeholders. Static data removed from the public JSON. Follows n8nβs template structure, node naming, and sticky-note annotation guidelines. --- π¦ Template info Name: AI-Powered Influencer Post Generator with Google Sheets and Image/Video APIs Category: AI / Marketing Automation / Content Generation Author: Palak Rathor Version: 1.0 (Public Release β October 2025)
By Palak RathorScore company ICP (Ideal Customer Profile) with Airtop
Automating Company ICP Scoring via LinkedIn Use Case This automation scores companies based on their LinkedIn profile using custom Ideal Customer Profile (ICP) criteria. Itβs ideal for qualifying B2B leads and prioritizing outreach based on fit. What This Automation Does Inputs required: Company LinkedIn URL: Public LinkedIn profile of the company. Airtop Profile (connected to LinkedIn): Airtop Profile authenticated to access and extract profile data. The automation analyzes the LinkedIn page and calculates a score based on: Scoring Criteria | Category | Classification | Points | |--------------------|---------------------------|------------| | AI Focus | Low | 5 | | | Medium | 10 | | | High | 25 | | Technical Level | Basic | 5 | | | Intermediate | 15 | | | Advanced | 25 | | | Expert | 35 | | Employee Count | 0β9 | 5 | | | 10β150 | 25 | | | 150+ | 30 | | Agency Status | Not Automation Agency | 0 | | | Automation Agency | 20 | | Geography | Outside US/Europe | 0 | | | US/Europe Based | 10 | The result includes: Total ICP score Detailed justifications for each score component How It Works Opens the companyβs LinkedIn page using Airtop. Analyzes metadata including employee count, headquarters, services, and keywords. Applies the scoring rubric and returns structured JSON with scores and reasons. Optionally flattens the result for storage or CRM integration. Setup Requirements Airtop API Key LinkedIn-authenticated Airtop Profile Next Steps Combine with Lead Lists: Score companies from outreach lists. Push to CRM: Add scores to HubSpot or Salesforce records. Adjust Scoring Weights: Modify rubric to reflect your ICP strategy. Read more about company ICP scoring automation with Airtop and n8n
By AirtopSend Automated Patient Appointment Reminders via Email & SMS with Multi-Database Support
π₯ PATIENT APPOINTMENT REMINDER SYSTEM MULTI-DATABASE SUPPORT PURPOSE: Automatically send professional appointment reminders via email and SMS to reduce no-shows and improve patient experience. FEATURES: β Dual reminders (3-day + 1-day before) β Email + SMS notifications β Phone number auto-formatting β Timezone handling β Professional HTML email templates β Multi-database support: β’ PostgreSQL (Enterprise) β’ Google Sheets (Easy) β’ Airtable (Recommended) β Flexible webhook support BUSINESS IMPACT: π Reduce no-shows by 30-50% π° Increase revenue from better attendance β° Save staff time on manual reminders π± Professional patient communication SETUP: Activate ONLY the database nodes your client needs!
By David OlusolaEnrich LinkedIn leads with Apify using Google Sheets
Enrich Profiles directly in Google Sheet ! This n8n template shows how to enrich Google spreadsheet with LinkedIn profiles automatically using the Apify LinkedIn Profile Enrichment actor from Anchor. It will create a new sheet with the enriched data. You can use it to build lead enrichment workflows, update your CRM records, or personalize outreach campaigns β all directly inside n8n. Who is this for Sales Teams: Build targeted B2B lead lists fast. Recruiters: Gather candidate data from LinkedIn profiles. Growth Marketers: Enrich outreach lists with LinkedIn info. Researchers: Analyze industries, roles, and company trends. CRM Builders: Auto-populate contact data from LinkedIn. Lead-Gen Agencies: Deliver qualified prospect lists at scale. How it works The workflow starts with a list of LinkedIn profile URLs (you need to set the Google sheet URL after you added the Google credentials from the n8n settings). The Apify node runs the LinkedIn Profile Enrichment actor to extract structured data such as name, title, company, location, and more. The results are then stored in a new Google Sheet How to use In Google Sheet: Create a Google sheet, rename the sheet "profiles" and add all the LinkedIn URLs you want to enrich (one url per row) In this Workflow: Open the "Set google sheet URL & orginial sheet name" and replace the example Google sheet URL, and the name of the sheet where your LinkedIn URLs are In the n8n credentials: Connect your Google Sheet account, with read and write privileges for google sheets Connect to your Apify account In Apify: Sign up for this Apify Actor Requirements Apify account with access to the LinkedIn Profile Enrichment actor LinkedIn profile URLs to process Need Help? Open an issue on directly on ApifyοΏΌ! Avg answer in less than 24h Happy Enrichment!
By Anchor