by Liveblocks
Modify Liveblocks Storage with JSON Patch This example uses Liveblocks Storage, a sync engine created by Liveblocks that allows you to create collaborative applications like Figma, Pitch, and Spline. When we fetch the Storage value for a room, we're fetching the state of the multiplayer document which users are collaborating on. In this workflow example, our document holds a list of shapes, like a drawing tool. Here's a rectangle, for example: { "id": "rect-1", "type": "rectangle", "x": 100, "y": 150, "width": 200, "height": 100, "color": "#ff0000" } Picture this hooked up to a design tool like Figma, with the user asking AI to edit their document. In these nodes, to generates a JSON Patch operation from the user's request ("Add a blue circle, and make the square orange") and applies it to the collaborative document. As soon as the JSON Patch operation has run, each user's design tool in their web browser will update with the changes in real time. Additionally, we're setting presence in the room, which means that the AI will appear in the document's live avatar stacks while it works, before disappearing shortly after.
by Gloria
Premium n8n Workflow: SMART AI Keyword Categorization & Content Strategy This n8n workflow transforms raw keyword data into actionable content intelligence using advanced AI categorization and clustering. It creates a comprehensive content strategy with ready-to-use titles and descriptions for your blog posts. π Features π§ AI-Powered Categorization Automatically sorts keywords into strategic buckets β Quick Wins, Authority Builders, Emerging Topics, Intent Signals, and Semantic Topics β for targeted content creation π―. π Semantic Clustering Identifies meaningful relationships between keywords to create logically grouped content clusters πΈοΈ. π Content Blueprint Generation Creates compelling titles and descriptions for each keyword and cluster to streamline your content creation process π. π Hub & Spoke Strategy Builder Develops a complete site architecture plan with main hub articles and supporting spoke content ποΈ. β‘ Airtable Integration Organizes all outputs in a structured database for seamless integration with your content workflow. π€ n8n AI Agents Leverages advanced AI capabilities to analyze keyword intent and potential without manual intervention. π₯ This Workflow is Perfect For: Content strategists π SEO professionals π Content marketing teams π₯ Blog managers π» Digital publishers π° Website owners (E-Commerce) π’ Anyone using the SMART AI Keyword Research Workflow π Stop struggling with manual keyword grouping and transform your raw keyword data into a comprehensive content strategy. π Get this premium workflow today! π What's Included? βοΈ n8n Workflow Template Ready-to-use workflow with AI-powered nodes for keyword analysis and categorization. π Airtable Database Structure Pre-configured tables for categorized keywords, content ideas, and hub-spoke relationships. 𧩠Keyword Categorization System Automated logic to sort keywords by opportunity, competition, and relevance. π Content Titles and Descriptions AI prompts to create optimized titles and descriptions for each content piece. π Hub & Spoke Mapper Logic to identify main topics and supporting content opportunities. π Documentation Step-by-step instructions for importing keyword data and running the workflow. π Why Choose This Workflow? β±οΈ Save Massive Time: Automate what would take days of manual analysis and planning. π Improve Content ROI: Create content that targets the right keywords in the right way. π Seamless Integration: Works perfectly with the AI Keyword Research and Blog Writing workflows available on my profile. ποΈ Build Site Authority: Create topically relevant content clusters that boost domain expertise. π― Strategic Focus: Stop guessing which keywords to target and how to organize your content. π οΈ How It Works 1οΈβ£ Import the provided n8n workflow into your n8n instance π₯. 2οΈβ£ Connect to your Airtable base containing keyword research data βοΈ. 3οΈβ£ Configure the AI agents with your preferred content parameters π€. 4οΈβ£ Run the workflow to automatically categorize, cluster, and create content briefs π. 5οΈβ£ Use the generated content strategy to guide your blogging or feed directly into the Multi-Agent Blog Writing System available on my profile π. Additional detailed instructions are provided in the workflow. π What You Need to Get Started πΉ Access to n8n (self-hosted or cloud) βοΈ πΉ An Airtable account with keyword data (ideally from the AI Keyword Research Workflow on my profile) π πΉ OpenAI API credentials for the AI categorization and title generation π πΉ Basic understanding of content strategy and n8n workflows π§ π‘ You can also connect this workflow with my SEO Keyword Research Automation using DataForSEO and Airtable and my Multi-Agent SEO Optimized Blog Writing System with Hyperlinks for E-Commerce, both available on my profile, to build a fully automated, end-to-end SEO content machine.
by Sina
Complete SEO/GEO Blog Generation Pipeline: Research β Write 4000+ Words β Add Images β Publish (Wordpress + Other CMS) β Index on Google How it works This workflow runs two parallel flows that together create a fully hands-off SEO content pipeline, from topic selection to Google indexing. (Each blog typically takes around ~15 minutes to generate. The system runs multiple deep processing steps to ensure high-quality, human-like output instead of fast but low-quality AI content. Itβs designed to reflect a production-grade SEO system, combining structured reasoning, multi-step validation, and quality control to match modern Google standards like E-E-A-T.) Flow 1 β Daily Scheduled Generation: Runs automatically every day on a schedule Fetches AI-suggested blog topics based on your website's niche and existing content Picks the best topic and sends it to the Siah AI Engine (18 specialized agents) Generates a 4000+ word, SEO-optimized article with keyword research, E-E-A-T compliance, AI images, internal links, slug, and metadata Publishes the finished post directly to your CMS (This approach focuses on depth, structure, and quality (not just text generation), making it one of the most complete blog automation systems currently aligned with modern SEO and Google ranking expectations.) Flow 2 β Webhook-Triggered Google Indexing: Fires automatically the moment a blog is published Submits the new URL to the Google Indexing API instantly No waiting for Googlebot to crawl, your post enters the index immediately Set up steps Setup takes under 5 minutes: Create a free account at seosiah.com and grab your API token from the dashboard Paste your token into the HTTP Request nodes (clearly labeled inside the workflow) In the "Add your website URL" node, enter your site URL Set your preferred publish time in the Schedule Trigger Activate β the workflow runs fully on its own from here
by PDF Vector
Overview HR departments and recruiters spend countless hours manually reviewing resumes, often missing qualified candidates due to time constraints. This workflow automates the entire resume screening process by extracting structured data from resumes in any format (PDF, Word documents, or even photographed/scanned resume images), calculating experience scores, and creating comprehensive candidate profiles ready for your ATS system. What You Can Do This workflow automatically retrieves resumes from Google Drive and uses AI to extract all relevant candidate information including personal details, work experience with dates, education, skills, and certifications. It intelligently handles various resume formats including PDFs, Word documents, and even scanned or photographed resumes using OCR. The workflow calculates total years of experience, tracks skill-specific experience, generates proficiency scores for each skill, and provides an AI-powered assessment of candidate strengths and suitability for different roles. Who It's For Perfect for HR departments processing high volumes of applications, recruitment agencies managing multiple clients, talent acquisition teams seeking to improve candidate quality, and hiring managers who want data-driven insights for decision making. Ideal for organizations that need to maintain consistent evaluation standards across different reviewers and want to reduce time-to-hire while improving candidate match quality. The Problem It Solves Manual resume screening is inefficient and inconsistent. Different reviewers may evaluate the same resume differently, leading to missed opportunities and bias. This workflow standardizes the extraction process, automatically calculates years of experience for each skill, and provides objective scoring metrics to help identify the best candidates faster while reducing human bias in the initial screening process. Setup Instructions Configure Google Drive credentials in n8n Install the PDF Vector community node from the n8n marketplace Configure your PDF Vector API credentials Set up your preferred data storage (database or spreadsheet) Customize the skill categories for your industry Configure the scoring algorithm based on your requirements Connect to your existing ATS system if needed Key Features Automatic Resume Retrieval**: Pull resumes from Google Drive folders automatically Universal Format Support**: Process PDFs, Word documents, and photographed resumes OCR Capabilities**: Extract text from scanned or photographed documents Experience Calculation**: Automatically compute total and skill-specific experience Proficiency Scoring**: Generate objective skill proficiency ratings AI Assessment**: Get intelligent insights on candidate fit and strengths Multi-Language Support**: Handle resumes in various languages ATS Integration**: Output structured data compatible with major ATS systems Customization Options Define custom skill categories relevant to your industry, adjust scoring weights for different experience types, add specific extraction fields for your organization, implement keyword matching for job requirements, set up automated candidate ranking systems, create role-specific evaluation criteria, and integrate with LinkedIn or other professional networks for enhanced candidate insights. Note: This workflow uses the PDF Vector community node. Make sure to install it from the n8n community nodes collection before using this template.
by Harshil Agrawal
This workflow allows you to create a group, add members to the group, and get the members of the group. Bitwarden node: This node will create a new group called documentation in Bitwarden. Bitwarden1 node: This node will get all the members from Bitwarden. Bitwarden2 node: This node will update all the members in the group that we created earlier. Bitwarden3 node: This node will get all the members in the group that we created earlier.
by PDF Vector
Overview Conducting comprehensive literature reviews is one of the most time-consuming aspects of academic research. This workflow revolutionizes the process by automating literature search, paper analysis, and review generation across multiple academic databases. It handles both digital papers and scanned documents (PDFs, JPGs, PNGs), using OCR technology for older publications or image-based content. What You Can Do Automate searches across multiple academic databases simultaneously Analyze and rank papers by relevance, citations, and impact Generate comprehensive literature reviews with proper citations Process both digital and scanned documents with OCR Identify research gaps and emerging trends systematically Who It's For Researchers, graduate students, academic institutions, literature review teams, and academic writers who need to conduct comprehensive literature reviews efficiently while maintaining high quality and thoroughness. The Problem It Solves Manual literature reviews are extremely time-consuming and often miss relevant papers across different databases. Researchers struggle to synthesize large volumes of academic papers, track citations properly, and identify research gaps systematically. This template automates the entire process from search to synthesis, ensuring comprehensive coverage and proper citation management. Setup Instructions: Configure PDF Vector API credentials with academic search access Set up search parameters including databases and date ranges Define inclusion and exclusion criteria for paper selection Choose citation style (APA, MLA, Chicago, etc.) Configure output format preferences Set up reference management software integration if needed Define research topic and keywords for search Key Features: Simultaneous search across PubMed, arXiv, Semantic Scholar, and other databases Intelligent paper ranking based on citation count, recency, and relevance OCR support for scanned documents and older publications Automatic extraction of methodologies, findings, and limitations Citation network analysis to identify seminal works Automatic theme organization and research gap identification Multiple citation format support (APA, MLA, Chicago) Quality scoring based on journal impact factors Customization Options: Configure search parameters for specific research domains Set up automated searches for ongoing literature monitoring Integrate with reference management software (Zotero, Mendeley) Customize output format and structure Add collaborative review features for research teams Set up quality filters based on journal rankings Configure notification systems for new relevant papers Implementation Details: The workflow uses advanced algorithms to search multiple academic databases simultaneously, ranking papers by relevance and impact. It processes full-text PDFs when available and uses OCR for scanned documents. The system automatically extracts key information, organizes findings by themes, and generates structured literature reviews with proper citations and reference management. Note: This workflow uses the PDF Vector community node. Make sure to install it from the n8n community nodes collection before using this template.
by Bilel Aroua
Sora 2 Video Generator - No Watermark (Minimal Setup) This n8n workflow enables you to generate professional AI videos using OpenAI's Sora 2 without watermarks. Create videos from text descriptions or animate your images with a simple web form interface - ready to use in just 5 minutes! Generate cinematic AI videos for social media, marketing campaigns, product demos, or creative projects. The workflow handles both text-to-video and image-to-video generation with automatic status polling until your video is ready. Good to know: β’ Kie.AI charges per video generation. Check their pricing page for current rates β’ Videos typically take 30-60 seconds for standard quality, 60-120 seconds for HD β’ The workflow automatically retries status checks every 30 seconds until completion β’ No watermarks on output videos How it works β’ Users submit video requests via a beautiful web form with description, aspect ratio, and quality options β’ The workflow detects if an image was uploaded and routes to either text-to-video or image-to-video β’ For image uploads, the file is automatically uploaded to ImgBB to generate a public URL β’ The request is sent to Sora 2 API via Kie.AI with your specifications (prompt, quality, aspect ratio) β’ The workflow waits 30 seconds, then checks if video generation is complete β’ If not ready, it automatically loops back and checks again every 30 seconds β’ Once complete, the video is downloaded and optionally sent via Telegram notification β’ Clean, watermark-free MP4 video output ready for use Set up steps Step 1: Get Kie.AI API Key β’ Sign up at kie.ai and navigate to your dashboard β’ Go to API Keys section and generate a new key β’ Copy the API key for the next step Step 2: Configure n8n Credentials β’ In n8n, go to Credentials β New Credential β’ Select "HTTP Header Auth" β’ Name: Kie Ai(Veo and more) (exact name required) β’ Header Name: Authorization β’ Header Value: Bearer YOUR_API_KEY β’ Save the credential Step 3: ImgBB Setup (for Image-to-Video) β’ Get a free API key from api.imgbb.com β’ Open the "Upload to ImgBB" node in the workflow β’ Replace the YOUR_ImgBB_API_KEY parameter with your ImgBB API key Step 4: (Optional) Telegram Notifications β’ Create a bot with @BotFather on Telegram β’ Get your Chat ID from @get_id_bot β’ Update YOUR_CHAT_ID in both Telegram nodes β’ Or delete Telegram nodes entirely if not needed Requirements β’ Kie.AI account with API access for Sora 2 β’ ImgBB account for image hosting (free tier available) β’ (Optional) Telegram bot for video delivery notifications Customising this workflow β’ Adjust wait times in the Wait nodes if generation takes longer in your region β’ Add email notifications instead of/in addition to Telegram β’ Modify the form to collect additional metadata (user info, project names, etc.) β’ Add error handling nodes for production deployments β’ Connect to cloud storage (Google Drive, Dropbox) instead of Telegram for video delivery β’ Integrate with your existing CMS or content management system For assistance and support: contact@bilsimaging.com
by Paul Roussel
Automated workflow to remove video backgrounds and composite foreground video on static image backgrounds. Perfect for creating branded content, professional presentations, and consistent visual branding across your videos. How it works β’ Upload inputs: Provide foreground video URL and background image URL (both must be publicly accessible) β’ Remove background: API automatically removes video background with AI-powered segmentation β’ Composite on image: Video is centered on custom image background with aspect ratio preserved β’ Save to Drive: Final composed video is automatically uploaded to Google Drive with shareable link Set up steps β±οΈ Total setup time: ~7 minutes β’ Get VideoBGRemover API Key (~2 min): Visit https://videobgremover.com/api-management, sign up, and copy your API key β’ Add API key to n8n (~2 min): Go to Settings β Variables, add VIDEOBGREMOVER_KEY with your API key as value. Find the api key -> https://videobgremover.com/n8n β’ Connect Google Drive (~2 min): Click "Upload to Google Drive" node, click "Connect", and authorize n8n β’ Test workflow (~1 min): Use manual trigger with sample URLs provided in the "Sample URLs (Edit Here)" node Use cases: Branded content with company backgrounds and logos Product demos with custom imagery or brand colors AI avatars on professional office/studio backgrounds Social media content requiring consistent visual branding Profile videos with custom scenes or patterns Presentation videos with company branding Pricing: VideoBGRemover API charges $0.50-$2.00 per minute of video processed. Free trial credits available. Triggers: Webhook (for automation) or Manual (for testing) Processing time: Typically 3-5 minutes per minute of video
by Harshil Agrawal
This workflow allows you to create an invoice with the information received via Typeform submission. Typeform node: This node triggers the workflow. Whenever the form is submitted, the node triggers the workflow. We will use the information received in this node to generate the invoice. APITemplate.io node: This node generates the invoice using the information from the previous node.
by Five Quantum Bits
Description Send free SMS appointment reminders from Google Calendar with n8n and RCSZilla. This workflow turns Google Calendar into a simple appointment reminder system for opted-in customers. n8n checks tomorrow's events, reads the customer phone number and SMS consent from the calendar event description, prepares a short reminder message, and queues the SMS through RCSZilla. RCSZilla lets you use your own Android phone and SIM card as the SMS gateway, so you do not need a separate SMS API subscription just to send basic appointment reminders. The workflow is free to run in n8n, and RCSZilla supports device-based sending through your own mobile network. Your mobile carrier plan, country, and message volume can still affect real-world SMS costs, so check your plan before sending production traffic. Why This Workflow Is Useful Many appointment-based businesses need a practical SMS reminder service, but do not want to start with a paid SMS provider such as Twilio just to reduce no-shows. This template gives you a direct, phone-based setup: Google Calendar stores the appointment. n8n handles the automation logic. RCSZilla queues the SMS. Your connected Android device sends the message through its SIM/mobile plan. This is a good fit for salons, clinics, dentists, consultants, repair shops, real estate viewings, local agencies, auto service businesses, and other teams that already manage bookings in Google Calendar. How It Works 1. Daily Schedule The workflow runs once per day at 09:00. You can change the Schedule Trigger if your business sends reminders earlier, later, or on the same day as the appointment. 2. Google Calendar Lookup The Google Calendar node fetches tomorrow's events from the selected calendar. It only requests the fields needed for the reminder: event ID, title, description, start/end time, and location. 3. Appointment Data Parsing The Code node reads the event title, description, and location. It looks for: Phone: or a phone-like number SMS consent: yes optional customer name optional location If the event has no phone number, no positive SMS consent, or an opt-out phrase, the workflow does not send a message. 4. Consent Gate The IF node separates eligible reminders from skipped events. This makes the workflow safer to test because events without consent are routed away from the sending step. 5. SMS Queue With RCSZilla Eligible reminders are sent to the RCSZilla node using the SMS channel. RCSZilla then queues the message for the connected device that acts as your SMS/RCS gateway. 6. Skipped Reminder Summary Skipped events go to a summary node so you can inspect why a reminder was not sent. During setup, this helps you fix calendar descriptions before activating the workflow. RCSZilla Features Used Here This template uses RCSZilla as a phone-based messaging gateway for n8n: Android device sending: connect your own Android phone and SIM card. API access: generate an API key in RCSZilla and use it from n8n. SMS channel: queue appointment reminders through the RCSZilla node. Device-first setup: send through your own mobile network instead of starting with a paid SMS API provider. Optional cloud sending: RCSZilla also documents optional credit-based cloud provider routing for users who do not want to send from a phone. RCSZilla setup guide: https://docs.rcszilla.com/?page=get_started Requirements n8n Cloud or self-hosted n8n. RCSZilla account and API token. Android device connected to RCSZilla and able to send SMS messages. Active SIM/mobile plan for the device that will act as the SMS gateway. Community node package: n8n-nodes-rcszilla. Google Calendar OAuth credential in n8n. Google Calendar events that include a customer phone number and SMS consent in the description. Setup Instructions Install the RCSZilla community node in n8n: n8n-nodes-rcszilla. Import the workflow JSON: Google Calendar appointment reminder SMS n8n - RCSZilla.json. Create and assign the Google Calendar OAuth credential to the Google Calendar node. Create and assign the RCSZilla API credential to the RCSZilla node. Connect the Android device that will send SMS messages through RCSZilla. If you have not connected a device yet, follow the RCSZilla getting started guide: https://docs.rcszilla.com/?page=get_started In the Google Calendar node, choose the calendar that stores appointments. Add this format to appointment event descriptions: Name: Maria Phone: +40700000000 SMS consent: yes Run the workflow manually with one internal test appointment. Check the skipped summary output. If a reminder is skipped, confirm the event has a valid phone number and SMS consent: yes. Activate the workflow when testing is complete. Example SMS Hi Maria, reminder: Dental cleaning is scheduled for Thu, May 21, 10:00 AM at Main Street Clinic. Reply STOP to opt out. Compliance And Consent This workflow is designed for consent-based appointment reminders, not unsolicited marketing. Only send SMS reminders to customers who have clearly agreed to receive appointment messages. Keep consent records in your booking process, respect opt-outs, follow quiet hours, and check local SMS rules for every region where you send messages. The workflow requires SMS consent: yes before sending and includes this opt-out text in the message: Reply STOP to opt out. If your appointments involve medical, legal, financial, or other sensitive information, keep event titles and SMS wording generic. Customization Change the Schedule Trigger time to match your reminder policy. Change the Google Calendar time window if you want same-day reminders instead of next-day reminders. Edit the Code node message template to match your brand voice. Keep appointment titles generic if customers should not receive sensitive details by SMS. Change the RCSZilla channel later if your RCSZilla setup supports another channel for your use case. Add delivery monitoring later by using RCSZilla queue/status features. Troubleshooting No events returned: confirm the selected calendar and the tomorrow time window. Event is skipped: add Phone: and SMS consent: yes to the event description. Google Calendar credential fails: for self-hosted n8n, use a public HTTPS domain for the OAuth redirect URL. RCSZilla fails: confirm the API credential, connected device status, SIM status, and phone number country code. Message is too specific: make the calendar event title generic or edit the Code node message template. Reminders send at the wrong time: check the n8n instance timezone and the Schedule Trigger settings.
by OzorAI
Turn Any Notion Document into an Explainer Video β Automatically Got a Notion doc? Turn it into a polished explainer video without lifting a finger. This workflow watches your Notion database for recently edited pages and uses Ozor AI to automatically generate a professional video from the content β then drops the finished video right back into the original Notion page. Perfect for SOPs, training materials, wikis, product docs, or any content you want to bring to life visually. How it works Schedule Trigger checks for updates every 15 minutes Notion fetches the most recently edited page from your database Notion reads all content blocks from that page (text, headings, images) JavaScript compiles the content into a structured prompt for Ozor AI Ozor AI analyzes the document and creates a video production plan Ozor AI generates the full video project from that plan Ozor AI exports the finished video as a public 1080p MP4 Notion appends the new video back to the original page Set up steps Connect your Notion credential with read + write access to your database (~2 min) Connect your Ozor credential in n8n (~1 min) Update the Notion database ID in Node 2 to point to your own database Activate the workflow β any edited Notion page will get a video automatically
by Konrad Roziewski
This workflow fetches the complete content of a specific Notion page and converts all its blocks into a single HTML string compatible with the WordPress Gutenberg block editor. It's designed to be used as a sub-workflow. You can call it from a parent workflow (e.g., "when a Notion page is updated") by passing it a notion_url. It returns a single item containing the complete, ready-to-use HTML for a WordPress post body. Key Features Full Page Conversion: Fetches all blocks from a page, including nested blocks (like content inside columns or toggles). Rich Text Support: Correctly parses and converts rich text annotations, including bold, italic, \<u\>underline\</u\>, \<s\>strikethrough\</s\>, and links. Gutenberg-Compatible: Wraps content in the appropriate Gutenberg HTML comments (e.g., , , \\) so WordPress recognizes them as blocks. Handles Complex Layouts: Includes specific logic to correctly rebuild Notion's column and column\_list blocks into a responsive Gutenberg-friendly format. Supports Various Blocks: Converts paragraphs, all heading types (H1, H2, H3), bulleted and numbered lists, images, videos (YouTube/Vimeo), embeds, code blocks, and dividers. How It Works Input: The workflow is triggered by an Execute Workflow node, which expects a notion_url in the input data. (A manual trigger with a sample URL is included for testing). Fetch Data: It first gets the Notion page specified by the URL and then uses a second Notion node to fetch all child blocks recursively (fetchNestedBlocks: true). Process Rich Text: A Code node (decode paragraphs) iterates over text-based blocks (paragraphs, lists) and uses a helper function to convert the Notion annotations array into standard HTML tags (e.g., `, , `). Convert Blocks: A second Code node (decode blocks) uses a large switch statement to map each Notion block type to its corresponding Gutenberg HTML structure. Rebuild Columns: A crucial Code node (column&column_list) runs once on all blocks. It finds all column blocks, then finds their children, and finally wraps them inside their parent column_list block. This is essential for correctly handling nested layouts. Filter & Aggregate: The workflow filters out all nested blocks, keeping only the top-level ones (since the nested content is now inside its parent, like the column block). It then aggregates all the generated HTML snippets into a single array. Final Output: A final Set node joins the array of HTML blocks with newline characters, producing a single text string in a field named wp. This string can be directly used in the "Content" field of a WordPress node in your parent workflow. Setup Notion Credentials: You must configure your Notion credentials in the two Notion nodes: Get a database page Get many child blocks Trigger: To use this, call it from another workflow using an Execute Workflow node. Pass the URL of the Notion page you want to convert in the notion_url field.