by Juan Carlos Cavero Gracia
This workflow turns any URL (news article, blog post, or even an n8n workflow page) into a vertical short video with your AI avatar explaining it ready for TikTok, Instagram Reels, and YouTube Shorts. It fetches the page, generates a tight 30–45s script and platform-optimized descriptions, captures a dynamic background of the page (animated scroll or static image), composes and renders the video with HeyGen (free split‑screen or paid clean cut‑out), and sends it to Upload-Post with an optional human review step. Note: You can generate full videos end‑to‑end using free trials—no credit card required—for all APIs used in this template (Google Gemini, ScreenshotOne, HeyGen, Upload‑Post).* Who Is This For? Creators & Marketers:** Explain articles, launches, and workflows without filming or editing. Media & Newsletters:** Turn breaking stories into clear, shareable shorts. Agencies:** Scale content creation with review gates and multi-account publishing. Founders & Product Teams:** Maintain an on-brand presence in minutes. What Problem Does It Solve? Making platform-native explainers is slow and inconsistent. This workflow: Writes the script with AI:** ~30s hook-led monologue with key facts. Optimizes per platform:** Tailored captions for TikTok, Reels, and Shorts. Generates the video automatically:** Uses the page itself as background + avatar voiceover. Publishes everywhere:** Optional review, then one-click multi-platform posting. How It Works URL Input: Paste any page to convert (article, blog, or workflow). AI Agent (Gemini): Reads the page and produces a single script (~30s) + platform-specific descriptions. Video Background: Animated scroll capture (9:16) or featured image via ScreenshotOne. HeyGen Composition & Render: Free: split-screen vertical (avatar bottom, background top). Paid: clean avatar cut‑out over video/image (background removal). Render & Poll: Waits for HeyGen to finish and retrieves the final MP4. Human Review (optional): Approve or reject in a simple form. Publish (Upload-Post): Uploads to TikTok, Instagram (Reels), and YouTube Shorts with AI-generated titles/descriptions. Setup Credentials (all offer free trials, no credit card required): HeyGen API (X-Api-Key) + your avatar_id and voice_id. ScreenshotOne API key. Upload-Post (connect your social accounts). Google Gemini (chat model). Variables in “Set Input Vars”: workflow_url: page to convert. background_removal: true (paid) or false (free). background_type: video (animated scroll) or photo (static). Publishing: Choose platforms in Upload-Post; enable review if you want to approve before posting. Requirements Accounts:** n8n, HeyGen, ScreenshotOne, Upload-Post, Google (Gemini). API Keys:** HeyGen, ScreenshotOne, Gemini; Upload-Post credentials. Assets:** An avatar and a voice available in HeyGen. Features URL → Short in minutes:** 9:16 vertical (720×1280). Pro script with hook:** Clear, natural, ~30s. Two render modes:** Split-screen (free) or clean cut‑out (paid). Background from the page:** Animated scroll or main image. Human-in-the-loop:** Approval before going live. Multi-publish:** TikTok, Instagram Reels, YouTube Shorts via Upload-Post. Start free:** Generate videos with free trials across all APIs—no credit card required.
by Giovanni Ruggieri
Who is this for? This template is for everyone who manages their blog entries in Notion and want to have an easy way to transform them to Webflow. What this workflow does This workflow syncs your blog posts saved in a Notion Database once a day to Webflow. Sync Notion properties, rich text and cover image with your collection. Works with most elements: H1, H2, H3, normal text, bold text, italic text, links, quotes, bulleted lists, numbered lists, and images (under 4MB). Set up steps Connect your accounts. Add a "slug" field in Notion. Add a "Sync to Webflow?" checkbox in Notion. Run a test and map your collection data. Whenever the workflow runs, all the checked posts will be updated in the Webflow collection, whether it's a new post or an existing one.
by Marko
**Content engine that ships fresh, SEO-ready articles every single day. ** Workflow: ⸻ Layout Blueprint • Purpose: Define content structure before writing begins. • What’s Included: • Search intent mapping • Internal link planning • Call-to-action (CTA) placement • Benefit: Ensures consistency, SEO alignment, and content goals are baked in early. ⸻ AI-Assisted Drafting • Tool: GPT generates the first draft. • Editor’s Role: • Focus on depth and accuracy • Align tone and style with existing site content • Context-Aware: Pulls insights from top-ranking articles already live on the site. ⸻ SEO Validation • Automated Checks for: • Keyword coverage • Readability scoring • Schema markup • Internal/external link quality • Outcome: Each piece is validated before hitting publish. ⸻ Media Production • Process: AI auto-generates relevant images. • Delivery: Visual assets are automatically added to the CMS library. ⸻ Optional Human Review: Team feedback via Slack or Teams if needed. ⸻ Automated Publishing • Action: Instantly publishes content to Webflow once approved. • Result: A fully streamlined pipeline from draft to live with minimal manual steps.
by Feras Dabour
Who is this for? This workflow is for job seekers who want to automate their entire application pipeline — from discovering job postings to generating personalized cover letters, CVs, and organizing everything in Google Drive and Google Sheets. It is especially useful for professionals applying to many roles in parallel and who want a Telegram-based mobile-first experience. What this workflow does This n8n workflow turns your Telegram bot into a fully automated job application machine. It supports two input modes: URL mode**: Send a job posting URL via Telegram. An AI Agent (OpenAI with web search) visits the page, extracts structured job data (title, company, location, salary, description, language), and kicks off the document generation pipeline. Keyword mode**: Send a search keyword (e.g. "Data Analyst") via Telegram. The workflow queries Google Jobs via SerpAPI, parses the results, filters out irrelevant roles (internships, part-time, student jobs, etc.), and lets you approve or reject each match directly in Telegram. For every approved job, the workflow: Logs all job details (title, company, links, salary, description) in a Google Sheets tracker Generates a localized cover letter as a styled PDF using an HTML-to-PDF API Generates a personalized CV as a styled PDF, dynamically tagged with the target position and company Uploads both documents to Google Drive into a dedicated folder per application Updates the Google Sheets row with the Drive folder link Sends a confirmation back to Telegram when done How to set up Import the workflow into your n8n instance Configure credentials for: Telegram Bot API (create a bot via BotFather) OpenAI API (GPT model with web search capability) SerpAPI (for Google Jobs search) Google Sheets OAuth2 Google Drive OAuth2 HTML CSS to PDF API (htmlcsstopdf.com) Create a Google Sheet with the following columns: via, title, job_id, location, posted_at, salary, type, share_link, description, company, link1–link10, application_platform_1–application_platform_10, link_drive_ornder, status, Status-tracking Create a root folder in Google Drive for all your job application subfolders Update the Google Sheets document ID and Google Drive folder ID in the relevant nodes (search for YOUR_GOOGLE_SHEETS_ID and YOUR_GOOGLE_DRIVE_FOLDER_ID) Update the Telegram user ID in the Telegram Trigger node to restrict access to your account Customize the HTML templates in the cover letter and CV nodes with your own personal information, experience, and styling Requirements n8n instance (self-hosted or cloud) Telegram Bot (via BotFather) OpenAI API key SerpAPI key Google Sheets & Google Drive OAuth2 credentials HTML CSS to PDF API account (community node: n8n-nodes-htmlcsstopdf) Note: This workflow uses the community node n8n-nodes-htmlcsstopdf. It works on self-hosted n8n instances only. Install it via: Settings > Community Nodes > n8n-nodes-htmlcsstopdf. How to customize Cover letter text**: Edit the HTML content in the cover letter nodes to match your writing style and experience CV content**: Edit the HTML in the CV nodes with your own work history, skills, certifications, and education Filter criteria**: Adjust the filter node to change which job types are filtered out (currently filters internships, part-time, student jobs, freelance, etc.) Language detection**: Copy the paths of steps 4 & 5 in different language Styling**: Modify the CSS in the HTML-to-PDF nodes to change the visual design of your cover letter and CV
by SalmonRK-AI
📘 Multi-Photo Facebook Post (Windows Directory) – How to Use ✅ Requirements To run this automation, make sure you have the following: ✅ n8n installed on your local Windows machine ✅ Cloudinary or any other file hosting service for uploading image files ✅ Facebook Page Access Token with the required permissions (pages_manage_posts, pages_read_engagement, pages_show_list, etc.) 🚀 How to Use Import the provided n8n workflow template into your n8n instance. Verify the image directory path – ensure that the images you want to post are stored in a local folder (e.g. E:\Autopost-media\YourPage\Images). Check the caption and hashtag files – this includes: description.txt (for the post message) hashtag.txt (for additional tags) Set your Facebook credentials – insert your Facebook Page Access Token in the designated credential field in the workflow. ⚙️ How It Works (Workflow Logic) Read Text Files The workflow reads description.txt and hashtag.txt from the local directory. These are combined to form the message body for the Facebook post. Select Images to Post The Limit node defines how many images to post per run (e.g. 3 images). Selected image files are uploaded to a file server (like Cloudinary) to obtain public URLs. Post to Facebook (Multi-Photo) A multi-photo post is created using the uploaded image URLs and the composed message. Move Posted Images After the post is successfully published, the original image files are moved to a new folder. The destination folder is automatically created using the current date (e.g. E:\Autopost-media\YourPage\Images\20250614).
by Moka Ouchi
What it does This workflow automatically downloads NASA's Astronomy Picture of the Day (APOD) every day. It then resizes the image to a 4K resolution (3840x2160), making it perfect for a desktop wallpaper, and uploads it to a specified Google Drive folder. If the APOD for the day is a video or another media type instead of an image, the workflow will skip the download process and send an alert to a designated Slack channel, informing you of the media type and title. Who's it for This template is ideal for: Space and astronomy enthusiasts who want a new stunning wallpaper every day. Anyone looking to automate file downloading and cloud storage management. n8n users who want to learn how to integrate APIs, schedule triggers, process images, and use conditional logic. How to set up Setup should take about 5-10 minutes. Configure Credentials: NASA: Get a free API key from NASA APIs and add your credentials in the Fetch APOD data node. Google Drive: Authenticate your Google account in the Upload to Google Drive node. Slack: Authenticate your Slack workspace in the Send Slack alert node. Set Workflow Variables: In the ⚙️ Configuration node, replace the placeholder values for DRIVE_FOLDER_ID and SLACK_CHANNEL_ID with your actual Google Drive folder ID and Slack channel ID. You can find the folder ID in the URL of your Google Drive folder. Activate the Workflow: Toggle the "Active" switch to ON in the top-right corner. The workflow will now run once every day. How to customize Change Image Size**: You can adjust the output resolution in the Resize image to 4K node. Use a different Cloud Storage**: Replace the Upload to Google Drive node with another cloud storage node like Dropbox or OneDrive. Adjust the Schedule**: Modify the Daily Trigger node to run more or less frequently.
by n8n Team
Who this template is for This template is for researchers, students, professionals, or content creators who need to quickly extract and summarize key insights from PDF documents using AI-powered analysis. Use case Converting lengthy PDF documents into structured, digestible summaries organized by topic with key insights. This is particularly useful for processing research papers, reports, whitepapers, or any document where you need to quickly understand the main topics and extract actionable insights without reading the entire document. How this workflow works Document Upload: Receives PDF files through a POST endpoint at /ai_pdf_summariser File Validation: Checks that the PDF is under 10MB and has fewer than 20 pages to meet API limits Content Extraction: Extracts text content from the PDF file AI Analysis: Uses OpenAI's GPT-4o-mini to analyze the document and break it down into distinct topics Insight Generation: For each topic, generates 3 key insights with titles and detailed explanations Format Response: Converts the structured data into markdown format for easy reading Return Results: Provides the formatted summary along with document metadata (file hash) Set up steps Configure OpenAI API: Set up your OpenAI credentials for the GPT-4o-mini model Deploy Webhook: The workflow automatically creates a POST endpoint at /ai_pdf_summariser Test Upload: Send a PDF file to the endpoint using a multipart/form-data request Adjust Limits: Modify the file size (10MB) and page count (20) validation limits if needed based on your requirements Customize Prompts: Update the system prompt in the Information Extractor node to change how topics and insights are generated The workflow includes comprehensive error handling for file validation failures (400 error) and processing errors (500 error), ensuring reliable operation even with problematic documents.
by Lugnicca
Spotify to YouTube Playlist Synchronization A workflow that maintains a YouTube playlist in sync with a Spotify playlist, featuring smart video matching and persistent synchronization. Key Features One-way Sync**: Spotify playlist → YouTube playlist (additions and deletions) Continuous Monitoring**: Automatic synchronization (every hour by default, but you can put any time you want) Smart Video Matching**: Considers video length and content relevance Auto-Recovery**: Automatically handles deleted YouTube videos Database Backup**: Persistent storage using Supabase Prerequisites Supabase project with the following table structure: CREATE TABLE IF NOT EXISTS musics ( id TEXT PRIMARY KEY, title TEXT NOT NULL, artist TEXT NOT NULL, duration INT8 NOT NULL, youtube_video_id TEXT, to_delete BOOLEAN DEFAULT FALSE ); Empty YouTube playlist (recommended as duplicates are not handled) Configured credentials for YouTube, Spotify, and Supabase APIs Properly set variables in all "variables" nodes (variables, variables1, variables2, variables3, variables4 (all the same)) Activate the workflow !
by Chris Jadama
YouTube Chapter Auto-Description with AI This n8n template automatically adds structured timestamp chapters to your latest YouTube video’s description using your RSS feed, SupaData for transcript extraction, and an AI tool for chapter generation. Ideal for creators who want every video to include chapter markers without doing it manually. Good to Know SupaData extracts full transcripts from YouTube videos via URL. The AI chapter generator converts long transcripts into formatted timestamps with short titles. This workflow edits the existing video description and appends the chapters to the bottom. How It Works The RSS Feed Trigger detects new uploads from your YouTube channel. The workflow checks Airtable to prevent duplicate processing. Transcript is fetched using SupaData API. The total video duration is extracted from the transcript. AI is prompted to generate well-formatted chapter timestamps. The existing description is fetched from YouTube. The chapters are appended and pushed back via the YouTube API. How to Use Start with the Manual Trigger to test the setup. Replace it with the RSS Trigger once you're ready for automation. Chapters are added only if the video hasn't been processed before. Requirements YouTube OAuth2** credentials in n8n SupaData API Key** Airtable account** (for optional deduplication logic) Customizing This Workflow Change the chapter format, or instruct the AI to use emojis, bold titles, or include sections like "sponsor" or "Q&A". Replace the RSS Trigger with a webhook if using a different publishing process.
by Kean
How it works Input your proposal basics - Manually enter the core details and key points for your proposal Dual AI processing - OpenAI expands your inputs into a comprehensive draft, then Claude refines it for clarity and readability Automated document output - The workflow copies your Google Doc template, replaces all variables with the AI-generated content, and delivers your finished proposal Set up steps Estimated time: 10-15 minutes Create an OpenRouter account - Sign up at OpenRouter to get API access for Claude Set up your Google Doc template - Create a template document with placeholder variables (variable names are listed in the 'Update proposal' node) Configure API credentials - Add your OpenAI and OpenRouter API keys to the workflow Connect Google Drive - Authenticate your Google account to enable document creation 💡 Detailed configuration instructions and variable naming conventions can be found in the sticky notes within the workflow. `
by MANISH KUMAR
Shopify AI Automation Image-to-Product CSV Bulk Upload Automation This Shopify AI automation is an advanced n8n-powered workflow that converts raw product images into a Shopify-ready product CSV. It uses AI image analysis, Google Drive, Google Sheets, and Shopify APIs to fully automate product onboarding — from images to structured ecommerce data. Built for scalable ecommerce automation, this workflow is especially effective for image-first catalogs such as jewelry, fashion, and accessories. 🚀 Features 🖼️ AI Image Analysis — Analyzes product images one by one for higher accuracy and lower risk 🧠 Automatic Category Detection — Identifies main product category (e.g. Jewelry), easily customizable for any niche ✍️ AI Product Content Generation — Creates product names, descriptions (HTML), tags, and attributes 📄 Google Sheets Orchestration — Structures data and outputs a clean Shopify-compatible CSV 🛍️ Shopify Asset Upload — Uploads images to Shopify and retrieves CDN URLs 🧩 Workflow Preparation Before running the workflow: Upload all product images to Google Drive Name images using the format: <SKU><ColorCode> Example: 12345GR Place all images inside a folder named:<Brand Name> Root folder name : pending Example : Google_Drive/pending/Manish Collection/All Images Each image represents one product variant. ⚙️ How It Works The workflow follows a 6-step automation pipeline designed for reliability and scalability. Notes : You may connect all these step to make it fully automatic or shecdule it according to your suitable time. 🔄 Step-by-Step Process Step 1: Fetch Images from Google Drive Scans the pending/<brand_name> folder Fetches all images Extracts SKU and color code Stores references in Google Sheets Step 2: AI Image Analysis (One-by-One) Images are analyzed individually Slower than batch processing, but far more reliable Reduces hallucinations and incorrect attributes Ideal for production-grade Shopify automation. Step 3: Main Category Identification AI determines the primary product category (example: Jewelry) Prompts can be modified for any ecommerce niche Step 4: Conditional Product Content Generation Based on category: Product titles are generated Descriptions are written in Shopify-ready HTML Tags and attributes are created This replaces repetitive work typically handled via Shopify Flow or manual data entry. Step 5: Shopify Image Upload Images are uploaded to Shopify assets Shopify returns CDN URLs URLs are mapped back to product data Step 6: Shopify CSV Generation All enriched data is compiled into a new Google Sheet Output matches Shopify’s product import CSV format File is ready for bulk upload 🛠️ n8n Nodes Used Trigger Node (Manual / Schedule) Google Drive Node Google Sheets Node AI Agent Node (Image Analysis + Content) Switch Node (Category-based logic) Code Node (Formatting & CSV structure) Shopify Node / HTTP Node 🔐 Credentials Required Before running the workflow, configure the following credentials in n8n: Shopify Access Token** — For asset uploads and API calls AI Provider API Key** — For image analysis and content generation Google Drive OAuth** — To access product images Google Sheets OAuth** — To store and export data 👤 Ideal For This workflow is ideal for: Shopify store owners handling bulk product uploads Ecommerce teams managing image-heavy catalogs Agencies building scalable Shopify automation systems Anyone exploring how to automate Shopify product onboarding 💬 Extensibility This workflow is modular and easy to extend. You can add: Multi-language product descriptions Pricing and margin automation Shopify marketing automation triggers Shopify Flow integrations after product import Marketplace exports (Google Shopping, Meta, Amazon) 🔑 Keywords shopify ai shopify flow shopify marketing automation shopify automation ecommerce automation how to automate shopify 📌 Notes No AI fine-tuning required No fragile prompt chaining Designed for accuracy over speed Safe for production ecommerce workflows 📞 Support If you’re looking to customize or extend this workflow, feel free to reach out or fork the project. Happy automating 🚀
by AI Sales Agent HQ
Generate professional sales proposals from a simple form—AI writes the content, you deliver the document. Fill out client details, pain points, and pricing, and this workflow creates a polished proposal with calculated ROI metrics, executive summary, solution strategy, and team bios. How It Works Sales rep submits a form with client name, industry, pain points, and pricing Code node calculates ROI, net savings, and break-even period Gemini AI generates proposal content: executive summary, key challenges, solution strategy, team bios, and call to action Copies your Google Doc template and replaces all placeholders with generated content Final proposal is ready in Google Drive Setup Import the workflow JSON Create a Google Doc template with placeholders: {{client_name}}, {{executive_summary}}, {{key_challenges}} {{solution_strategy}}, {{team_bios}}, {{next_steps}} {{formatted_roi}}, {{formatted_net_savings}}, {{formatted_break_even}} {{formatted_solution_cost}}, {{date}} Add credentials: Google Drive → OAuth2 Google Docs → OAuth2 Google Gemini → API key from aistudio.google.com Configure "Copy proposal template" node → Point to your template document Customize the AI → Edit system message in "Generate proposal content" to match your tone Test → Submit the form and check the generated proposal Activate