Workflow Templates

How it works This workflow automates the creation and management of a daily space-themed quiz in your Slack workspace. It's a fun way to engage your team and learn something new about the universe every day! Triggers Daily:** The workflow automatically runs at a scheduled time every day. Fetches NASA's Picture of the Day:** It starts by fetching the latest Astronomy Picture of the Day (APOD) from the official NASA API, including its title, explanation, and image URL. Generates a Quiz with AI:** Using the information from NASA, it prompts a Large Language Model (LLM) like OpenAI's GPT to create a unique, multiple-choice quiz question. Posts to Slack:** The generated quiz is then posted to a designated Slack channel. The bot automatically adds numbered reactions (1️⃣, 2️⃣, 3️⃣, 4️⃣) to the message, allowing users to vote. Waits and Tallies Results:** After a configurable waiting period, the workflow retrieves all reactions on the quiz message. A custom code node then tallies the votes, identifies the users who answered correctly, and calculates the total number of participants. Announces the Winner:** Finally, it posts a follow-up message in the same channel, revealing the correct answer, a detailed explanation, and mentions all the users who got it right. Set up steps This template should take about 10-15 minutes to set up. Credentials: NASA: Add your NASA API credentials in the Get APOD node. You can get a free API key from the NASA API website. OpenAI: Add your OpenAI API credentials in the OpenAI: Create Quiz node. Slack: Add your Slack API credentials to all the Slack nodes. You'll need to create a Slack App with the following permissions: chat:write, reactions:read, and reactions:write. Configuration: In the Workflow Configuration node, set your channelId to the Slack channel where you want the quiz to be posted. You can also customize the quizDifficulty, llmTone, and answerTimeoutMin to fit your audience. Activate Workflow: Once configured, simply activate the workflow. It will run automatically at the time specified in the Schedule Trigger node (default is 21:00 daily). Requirements An n8n instance A NASA API Key An OpenAI API Key A Slack App with the appropriate permissions and API credentials

Description Start your day with the perfect outfit suggestion tailored to the local weather. This workflow runs automatically every morning, fetches the current weather forecast for your city, and uses an AI stylist to generate a practical, gender-neutral outfit recommendation. It then designs a clean, vertical image card with all the details—date, temperature, weather conditions, and the complete outfit advice—and posts it directly to your Slack channel. It’s like having a personal stylist and weather reporter deliver a daily briefing right where your team communicates. Who’s it for Teams working in a shared office location who want a fun, daily update. Individuals looking to automate their morning routine and take the guesswork out of getting dressed. Community managers wanting to add engaging, automated content to their Slack workspace. Anyone interested in a practical example of combining weather data, AI, and dynamic image generation. How it works / What it does Triggers Daily: The workflow automatically runs every day at 6 AM. Fetches Weather: It gets the current weather forecast for a specified city (default is Tokyo) using the OpenWeatherMap node. Consults AI Stylist: The weather data is sent to an AI model, which acts as a stylist and returns a practical, gender-neutral outfit suggestion. Designs an Image Card: It dynamically creates a vertical image and writes the date, detailed weather info, and the AI's full recommendation onto it. Posts to Slack: Finally, it uploads the completed image card to your designated Slack channel with a friendly morning greeting. Requirements An n8n instance. An OpenWeatherMap API Key. An OpenRouter API Key (or credentials for another compatible AI model). A Slack workspace and the necessary permissions to connect an app. How to set up Set Weather Location: In the Get Weather Data node, add your OpenWeatherMap API Key and change the city name if you wish. Configure AI Model: In the OpenRouter Chat Model node, add your API Key. Configure Slack: In the Upload a file node, add your Slack credentials and, most importantly, select the channel where you want the forecast to be posted. Adjust Schedule (Optional): You can change the trigger time in the Daily 6AM Trigger node. How to customize the workflow Change the AI's Personality: Edit the system message in the Generate Outfit Advice node. You could ask the AI to be a pirate, a 90s fashion icon, or a formal stylist. Customize the Image: In the Create Image Card node, you can change the background color, font sizes, colors, and the layout of the text. Use a Different Platform: Swap the Slack node for a Discord, Telegram, or Email node to send the forecast to your preferred platform.

Transform meeting notes into organized tasks automatically This workflow uses AI to extract action items, decisions, and key details from any meeting notes format—then creates tasks in Asana and sends a formatted summary to Slack. Perfect for sales teams, project managers, and anyone who wants to stop manually tracking action items from meetings. What gets extracted Action items with assignees and due dates Key decisions made Pain points or challenges mentioned Budget discussions Next meeting dates How it works The workflow uses a simple form where you paste meeting notes (from AI notetakers like Otter.ai, manual notes, or any text). GPT-4o analyzes the content and extracts structured data. Each action item becomes an Asana task with the assignee name, due date, and full meeting context in the notes. All tasks are then aggregated into a formatted Slack message with clickable links, key decisions, pain points, and budget info. Your team gets a complete meeting summary without reading through pages of notes. Setup requirements OpenAI API key for GPT-4o Asana workspace with OAuth2 connection Slack workspace with OAuth2 connection Customization ideas Replace the form trigger with an email trigger to auto-process notes sent to a specific inbox Modify the AI prompt to extract additional fields like risks, dependencies, or next steps Add conditional logic to route different meeting types to different Asana projects or Slack channels Connect to other project management tools like ClickUp, Monday.com, or Jira instead of Asana Add Google Calendar integration to automatically schedule next meetings Good to know GPT-4o costs approximately $0.01-0.03 per meeting analysis The form can be shared with your team for easy submission All meeting context is preserved in Asana task notes for reference Slack messages include clickable task links for quick access

1. Who this is for This workflow is specifically designed for Recruiters, HR analytics teams, and data-driven talent acquisition professionals seeking deeper insights from LinkedIn candidate profiles. Valuable for HR tech developers, ATS/CRM engineers, and AI-driven recruitment platforms aiming to automate candidate research. Helps organizations build predictive hiring models and gain actionable talent intelligence. 2. What problem this workflow solves Recruiters often face information overload when analyzing LinkedIn profiles manually reviewing experiences, skills, and cultural fit is slow and inconsistent. Traditional scraping tools extract raw data but fail to produce actionable intelligence like career trajectory, skills alignment, and fit for a role. This workflow solves that by: Automating LinkedIn data extraction through Decodo Structuring it into JSON Resume Schema Running deep AI-driven analytics using OpenAI GPT-4o-mini Delivering comprehensive candidate intelligence ready for ATS/CRM integration or HR dashboards 3. What this workflow does This n8n workflow combines Decodo’s LinkedIn data mining capabilities with OpenAI GPT-4o-mini to produce advanced recruitment intelligence. Flow Breakdown: Manual Trigger – Start the workflow manually or schedule it in n8n. Set Input Fields – Define LinkedIn profile URL, location, and job description. Decodo Node – Scrapes the candidate’s LinkedIn profile (experience, skills, education, achievements, etc.). Structured Data Extractor (GPT-4o-mini) – Converts the scraped data into a structured JSON Resume Schema. Advanced Data Mining Engine (GPT-4o-mini) – Performs: Skills Analysis (strengths, gaps, transferable skills) Experience Intelligence (career trajectory, leadership, project complexity) Cultural Fit Insights (work style, communication style, agility indicators) Career Trajectory Forecasting (promotion trends, growth velocity) Competitive Advantage Analysis (market positioning, salary expectations) Summarizer Node – Produces an abstractive and comprehensive AI summary of the candidate profile. Google Sheets Node – Saves the structured insights automatically into your recruitment intelligence sheet. File Writer Node (Optional) – Writes the JSON report locally for offline storage or integration. The result is a data-enriched candidate intelligence report far beyond what traditional resume parsing provides. 4. Setup Prerequisites n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Setup Steps Import the workflow JSON into your n8n workspace. Set credentials for: Decodo Credentials account OpenAI API (GPT-4o-mini) Google Sheets OAuth2 In the “Set the Input Fields” node, update: url → LinkedIn profile link geo → Candidate region or country jobDescription → Target job description for matching Ensure the Google Sheet ID and tab name are correct in the “Append or update row in sheet” node. Click Execute Workflow to start. 5. How to customize this workflow You can adapt this workflow for different recruitment or analytics scenarios: Add Sentiment Analysis Add another LLM node to perform sentiment analysis on candidate recommendations or feedback notes. Enrich with Job Board Data Use additional Decodo nodes or APIs (Indeed, Glassdoor, etc.) to compare candidate profiles to live job postings. Add Predictive Fit Scoring Insert a Function Node to compute a numerical "fit score" by comparing skill vectors and job requirements. Automate Candidate Reporting Connect to Gmail, Slack, or Notion nodes to automatically send summaries or reports to hiring managers. 6. Summary The Advanced LinkedIn Talent Intelligence & Data Mining via Decodo + OpenAI GPT-4o-mini workflow transforms traditional candidate sourcing into AI-driven intelligence gathering. It integrates: Decodo** → to scrape and structure LinkedIn data GPT-4o-mini** → to interpret, analyze, and summarize with context Google Sheets** → to store structured results for real-time analysis With this system, recruiters and HR analysts can move from data collection to decision intelligence, unlocking faster and smarter talent insights.

📰 What This Workflow Does This intelligent news monitoring system automatically: • RSS Feed Aggregation: Pulls the latest headlines from Google News RSS feeds and Hacker News • AI Content Filtering: Identifies and prioritizes AI-related news from the past 24 hours • Smart Summarization: Uses OpenAI to create concise, informative summaries of top stories • Telegram Delivery: Sends formatted news digests directly to your Telegram channel • Scheduled Execution: Runs automatically every morning at 8:00 AM (configurable) 🎯 Key Features ✅ Multi-Source News: Combines Google News and Hacker News for comprehensive coverage ✅ AI-Powered Filtering: Automatically identifies relevant AI and technology news ✅ Intelligent Summarization: OpenAI generates clear, concise summaries with key insights ✅ Telegram Integration: Instant delivery to your preferred chat or channel ✅ Daily Automation: Scheduled to run every morning for fresh news updates ✅ Customizable Timing: Easy to adjust schedule for different time zones 🔧 How It Works Scheduled Trigger: Workflow activates daily at 8:00 AM (or your preferred time) RSS Feed Reading: Fetches latest articles from Google News and Hacker News feeds Content Filtering: Identifies AI-related stories from the past 24 hours AI Summarization: OpenAI processes and summarizes the most important stories Telegram Delivery: Sends formatted news digest to your Telegram channel 📋 Setup Requirements • OpenAI API Key: For AI-powered news summarization • Telegram Bot: Create via @BotFather and get bot token + chat ID • RSS Feed Access: Google News and Hacker News RSS feeds (public) ⚙️ Configuration Steps Set Up Telegram Bot: Message @BotFather on Telegram Create new bot with /newbot command Save bot token and chat ID Configure OpenAI: Add OpenAI API credentials in n8n Ensure access to GPT models for summarization Update RSS Feeds: Verify Google News RSS feed URLs Confirm Hacker News feed accessibility Schedule Timing: Adjust Schedule Trigger for your time zone Default: 8:00 AM daily (modify as needed) Test & Deploy: Run test execution to verify all connections Activate workflow for daily automation 🎨 Customization Options Time Zone Adjustment: Modify Schedule Trigger for different regions News Sources: Add additional RSS feeds for broader coverage Filtering Criteria: Adjust AI prompts to focus on specific topics Summary Length: Customize OpenAI prompts for different detail levels Delivery Format: Modify Telegram message formatting and structure 💡 Use Cases • AI Professionals: Stay updated on latest AI developments and industry news • Tech Teams: Monitor technology trends and competitor announcements • Researchers: Track academic and industry research developments • Content Creators: Source material for AI-focused content and newsletters • Business Leaders: Stay informed about AI market trends and opportunities

🚀 AI-Powered Email to Purchase Order Workflow Automatically scan your inbox for new purchase order requests, extract order details using Gemini AI, and log them into Google Sheets — all without manual effort. ✨ Core Capabilities ⏱ Runs every minute to check unread emails 📧 Filters emails by subject 🤖 Uses Gemini AI to summarize email content & extract structured order details 📅 Formats dates into ISO calendar weeks 📊 Adds product data from Google Sheets to complete order info ✅ Appends final purchase order records into a Google Sheet (without replacing previous ones) 🛠 Setup Essentials 📩 Gmail account for fetching unread emails 🔑 Google Gemini (PaLM) API credentials 📒 Google Sheet with predefined purchase order headers 📖 Activation Guide ⚙️ Configure Gmail & Google Sheets credentials in n8n 🎯 Adjust the subject filter to match your email rules 🔌 Connect Gemini AI with your API credentials 📑 Create a Google Sheet with the required headers ▶️ Activate the workflow and let it run in the background 🎨 Customizing the Workflow 🔍 Email Filters → Change keywords in the filter node to match your purchase order email subjects 🏷 Order Fields → Modify Set and Append to Google Sheet nodes if your schema differs ✍️ AI Instructions → Adjust the AI Agent’s prompt to fit your company’s email style or product details ⏲ Frequency → Update the Cron node if you want to scan emails less often 📂 Target Google Sheet → Point to a different sheet or tab depending on your department or customer

Description This workflow vectorizes the TUSS (Terminologia Unificada da Saúde Suplementar) table by transforming medical procedures into vector embeddings ready for semantic search. It automates the import of TUSS data, performs text preprocessing, and uses Google Gemini to generate vector embeddings. The resulting vectors can be stored in a vector database, such as PostgreSQL with pgvector, enabling efficient semantic queries across healthcare data. What Problem Does This Solve? Searching for medical procedures using traditional keyword matching is often imprecise. This workflow enhances the search experience by enabling semantic similarity search, which can retrieve more relevant results based on the meaning of the query instead of exact word matches. How It Works Import TUSS data: Load medical procedure entries from the TUSS table. Preprocess text: Clean and prepare the text for embedding. Generate embeddings: Use Google Gemini to convert each procedure into a semantic vector. Store vectors: Save the output in a PostgreSQL database with the pgvector extension. Prerequisites An n8n instance (self-hosted). A PostgreSQL database with the pgvector extension enabled. Access to the Google Gemini API. TUSS data in a structured format (CSV, database, or API source). Customization Tips You can adapt the preprocessing logic to your own language or domain-specific terms. Swap Google Gemini with another embedding model, such as OpenAI or Cohere. Adjust the chunking logic to control the granularity of semantic representation. Setup Instructions Prepare a source (database or CSV) with TUSS data. You need at least two fields: CD_ITEM (Medical procedure code) DS_ITEM (Medical procedure description) Configure your Oracle or PostgreSQL database credentials in the Credentials section of n8n. Make sure your PostgreSQL database has pgVector installed. Replace the placeholder table and column names with your actual TUSS table. Connect your Google Gemini credentials (via OpenAI proxy or official connector). Run the workflow to vectorize all medical procedure descriptions.

Automated Crypto Forecast Pipeline using Decodo and Gmail Sign Up for Decodo HERE for discount This template scrapes CoinGecko pages for selected coins, converts metrics into clean JSON, stores them in an n8n Data Table, generates 24-hour direction forecasts with Gemini, and emails a concise report. Who’s it for? Crypto watchers who want automated snapshots, forecasts, and a daily email—without managing a full data stack. How it works 30-min schedule loops coins, scrapes CoinGecko (Decodo), parses metrics, and upserts to Data Table. 18:00 schedule loads last 48h data. Gemini estimates next-24h direction windows. Email is rendered (HTML + plain text) and sent. How to set up Add Decodo, Gmail, and Gemini credentials. Open Configure Coins to edit tickers. Set Data Table ID. Replace recipient email. (Self-host only) Community node Decodo required. @decodo/n8n-nodes-decodo (community)

Who’s it for This template is perfect for TikTok creators, content marketers, and social media teams who want to turn viral comments into engaging short-form videos without manually scripting, recording, or editing. If you want to keep up with trends and consistently publish high-quality avatar videos, this workflow automates the entire process from comment selection to enhanced final video. What it does The workflow takes TikTok video URLs and their top comments from a Data Table, extracts the transcript using Dumpling AI, and uses GPT-4 to write a natural and engaging TikTok script inspired by the comment. It then generates a full AI avatar video through Captions.ai, enhances it with subtitles and B-roll using Submagic, and finally saves all video details into Airtable for tracking. Here’s what happens step by step: Pulls TikTok videos and their top comments from a Data Table Sends video URLs to Dumpling AI to retrieve transcripts Feeds both transcript and comment into GPT-4 to generate a conversational TikTok script Cleans and formats the script using JavaScript Sends the script to Captions.ai to produce an AI avatar video Checks video status and retries if needed Enhances the final video with Submagic for captions and effects Receives the enhanced video via webhook and logs details into Airtable How it works Schedule Trigger: Runs automatically at set intervals to start the workflow Data Table: Retrieves TikTok video URLs and associated comments Dumpling AI: Extracts transcripts from the video URLs GPT-4: Generates a compelling TikTok script based on the comment JavaScript Node: Cleans up script formatting for a smooth avatar generation Captions.ai: Creates an AI avatar video from the cleaned script Wait & Check: Monitors video creation status and retries if necessary Submagic: Enhances the video with captions, zooms, and B-roll effects Webhook & Airtable: Receives final video data and saves URL and ID for future use Requirements ✅ Dumpling AI API key stored as HTTP header credentials ✅ OpenAI GPT-4 credentials ✅ Captions.ai API credentials ✅ Submagic API credentials ✅ Airtable base with fields for Video URL and Caption Video ID ✅ A properly structured Data Table containing TikTok Keywords or video URLs How to customize Adjust the GPT-4 system prompt to shape the tone, style, or format of the TikTok script Change the avatar or creator settings in Captions.ai to match your brand personality Modify Submagic settings to control subtitle styling or B-roll effects Integrate approval steps before final video generation if needed Extend the workflow to auto-publish videos to TikTok or store them in cloud drives > This workflow lets you transform TikTok comments into engaging AI avatar videos with captions and edits, completely on autopilot. It’s a powerful way to scale content output and stay ahead of trends without manual scripting or filming.

Stop manually searching for songs and let an AI DJ do the work for you. This template provides a complete, end-to-end system that transforms any text prompt into a ready-to-play Spotify playlist. It combines the creative understanding of a powerful AI Agent with the real-time web knowledge of Linkup to curate perfect, up-to-the-minute playlists for any occasion. The experience is seamless: simply describe the vibe you're looking for in a web form, and the workflow will automatically create the playlist in your Spotify account and redirect you straight to it. Whether you need "upbeat funk for a sunny afternoon" or "moody electronic tracks for late-night coding," your personal AI DJ is ready to deliver. Who is this for? Music lovers:** Create hyper-specific playlists for any mood, activity, or niche genre without the hassle of manual searching. DJs & event planners:** Quickly generate themed playlists for parties, weddings, or corporate events based on a simple brief. Content creators:** Easily create companion playlists for your podcasts, videos, or articles to share with your audience. n8n developers:** A powerful example of how to build an AI agent that uses an external web-search tool to accomplish a creative task. What problem does this solve? Creates up-to-date playlists:** A standard AI doesn't know about music released yesterday. By using Linkup's live web search, this workflow can find and include the very latest tracks. Automates the entire creation process:** It handles everything from understanding a vague prompt (like "songs that feel like a summer road trip") to creating a fully populated Spotify playlist. Saves time and effort:** It completely eliminates the tedious task of searching for individual tracks, checking for relevance, and manually adding them to a playlist one by one. Provides a seamless user experience:** The workflow begins with a simple form and ends by automatically opening the finished playlist in your browser. There are no intermediate steps for you to manage. How it works Submit your playlist idea: You describe the playlist you want and the desired number of tracks in a simple, Spotify-themed web form. The AI DJ plans the search: An AI Agent (acting as your personal DJ) analyzes your request. It then intelligently formulates a specific query to find the best music. Web research with Linkup: The agent uses its Linkup web-search tool to find artists and tracks from across the web that perfectly match your request, returning a list of high-quality suggestions. The AI DJ curates the list: The agent reviews the search results and finalizes the tracklist and a creative name for your playlist. Build the playlist in Spotify: The workflow takes the agent's final list, creates a new public playlist in your Spotify account, then searches for each individual track to get its ID and adds them all. Instant redirection: As soon as the last track is added, the workflow automatically redirects your browser to the newly created playlist on Spotify, ready to be played. Setup Connect your accounts: You will need to add your credentials for: Spotify: In the Spotify nodes. Linkup: In the Web query to find tracks (HTTP Request Tool) node. Linkup's free plan is very generous! Your AI provider (e.g., OpenAI): In the OpenAI Chat Model node. Activate the workflow: Toggle the workflow to "Active." Use the form: Open the URL from the On form submission trigger and start creating playlists! Taking it further Change the trigger:* Instead of a form, trigger the playlist creation from a *Telegram* message, a *Discord** bot command, or even a webhook from another application. Create collaborative playlists:** Set up a workflow where multiple people can submit song ideas. You could then have a final AI step consolidate all the requests into a single, cohesive prompt to generate the ultimate group playlist. Optimize for speed:* The *Web query to find tracks** node is set to deep search mode for the highest quality results. You can change this to standard mode for faster and cheaper (but potentially less thorough) playlist creation.

🧠 AI Brainstorm Generator - Break Through Creative Blocks Instantly Transform any problem into innovative solutions using AI-powered brainstorming that combines mathematical randomness with intelligent synthesis. What This Workflow Does This workflow generates creative, actionable solutions to any problem by combining: Mersenne Twister algorithm** for high-entropy random seed generation AI-driven random word generation** to create unexpected semantic triggers Dual AI agents** that brainstorm and refine ideas into polished solutions Simply input your challenge via the chat interface, and within 2 minutes receive a professionally refined solution that combines the best elements from 5+ innovative ideas. Key Features ✨ Consistent Creativity - Works regardless of your mental state or time of day 🎲 True Randomness - MT19937 algorithm ensures no pattern repetition 🤖 Multi-Model Support - Works with OpenAI GPT-4 or Google Gemini ⚡ Fast Results - Complete solutions in under 2 minutes 🔄 Self-Cleaning - Redis data expires automatically after use Use Cases Product ideation and feature development Marketing campaign concepts Problem-solving for technical challenges Business strategy innovation Creative writing prompts Workshop facilitation Requirements Redis database (local or cloud) OpenAI API key (GPT-4) OR Google Gemini API key n8n instance (self-hosted or cloud) How It Works User inputs problem via chat trigger Mersenne Twister generates high-entropy random numbers AI generates 36+ random words as creative triggers Brainstorming Agent creates 5 innovative solutions Critic Agent synthesizes the best elements into one refined solution Perfect for teams facing innovation challenges, solo entrepreneurs seeking fresh perspectives, or anyone who needs to break through creative blocks reliably. Setup Time: ~10 minutes Difficulty: Intermediate Support: Full documentation included via sticky notes

🧾 What this workflow does This automation transforms a short text idea into a cinematic video by chaining together three powerful AI services: GPT-4.1 for scene creation, Dumpling AI’s FLUX.1 Pro model for visual generation, and KIE API (Veo 3) for cinematic video creation. The system fully automates the journey from raw concept to video output, returning the final video URL. 👤 Who is this for Content creators who want to test visual ideas quickly Agencies creating moodboards, ad scenes, or pitch visuals Solo marketers or founders without video editing skills AI automation builders creating content tools ⚙️ How to set up ✅ Requirements OpenAI GPT-4.1 API key** Dumpling AI (FLUX.1 Pro model)** API token KIE API* account with access to the *Veo 3 endpoint** Optional: Tool to store or share the final video link (e.g., Google Sheets, Slack) 🔧 Setup steps Start with a text idea Example: “A lion running through misty mountains at sunrise.” GPT-4.1 Node: Expands the idea into two parts: Cinematic Prompt: Describes the atmosphere, emotion, and camera movement. Image Prompt: A vivid single-frame visual to generate the base image. Dumpling AI Node (FLUX.1 Pro): Takes the image prompt and returns a cinematic-style image. You can customize dimensions, steps, seed, and guidance level. KIE API Node (Veo 3): Sends both the cinematic prompt and image to the Veo 3 model. The model returns a video URL (e.g., 3–6 seconds cinematic footage). Final Output: The video URL is returned by the HTTP node. You can connect this to Airtable, Slack, Telegram, or Google Sheets to log the result or share with your team. 🧠 How it works You input a text idea GPT-4.1 turns it into both a detailed cinematic prompt and a base image prompt Dumpling AI generates the image KIE API’s Veo 3 turns it into a cinematic video The final video URL is returned for download or embedding 💡 Customization Ideas Add a Telegram bot to trigger this workflow with an idea via message Route video links to a Notion database or content calendar Add a loop with rating logic to regenerate low-rated videos Use Google Drive to auto-save videos in brand folders Automate weekly video ideation for social media using a prompt list This workflow helps you turn raw imagination into cinematic motion using AI. From social content to storyboarding, you can generate compelling visuals in minutes — no design or video background needed.