Clone viral TikToks with AI avatars & auto-post to 9 platforms using Perplexity & Blotato
Clone a viral TikTok with AI and auto-post it to 9 platforms using Perplexity & Blotato Who is this for? This workflow is perfect for: Content creators looking to repurpose viral content Social media managers who want to scale short-form content across multiple platforms Entrepreneurs and marketers aiming to save time and boost visibility with AI-powered automation What problem is this workflow solving? Reproducing viral video formats with your own branding and pushing them to multiple platforms is time-consuming and hard to scale. This workflow solves that by: Cloning a viral TikTok video’s structure Generating a new version with your avatar Rewriting the script, caption, and overlay text Auto-posting it to 9 social media platforms — without manual uploads What this workflow does From a simple Telegram message with a TikTok link, the workflow: Downloads a TikTok video and extracts its thumbnail, audio, and caption Transcribes the audio and saves original text into Google Sheets Uses Perplexity AI to suggest a new content idea in the same niche Rewrites the script, caption, and overlay using GPT-4o Generates a new video with your avatar using Captions.ai Adds subtitles and overlay text with JSON2Video Saves metadata to Google Sheets for tracking Sends the final video to Telegram for preview Auto-publishes the video to Instagram, YouTube, TikTok, Facebook, LinkedIn, Threads, X (Twitter), Pinterest, and Bluesky via Blotato Setup Connect your Telegram bot to the trigger node. Add your OpenAI, Perplexity, Cloudinary, Captions.ai, and Blotato API keys. Make sure your Google Sheet is ready with the appropriate columns. Replace the default avatar name in the Captions.ai node with yours. Fill in your social media account IDs in the "Assign Platform IDs" node. Test by sending a TikTok URL to your Telegram bot. How to customize this workflow to your needs Change avatar output style: adjust resolution, voice, or avatar ID. Refine script structure: tweak GPT instructions for different tone/format. Swap Perplexity with ChatGPT or Claude if needed. Filter by platform: disable any Blotato nodes you don’t need. Add approval step: insert a Telegram confirmation node before publishing. Adjust subtitle style or overlay text font in JSON2Video. 📄 Documentation: Notion Guide --- Need help customizing? Contact me for consulting and support : Linkedin / Youtube
By Dr. FirasEmail summary agent
Problem Teams often struggle with email overload, leading to missed actions and inefficient meeting preparation. Solution This workflow automates email management using n8n and AI. It fetches emails, summarizes key points and actions, and sends two concise updates—one in the morning and one at night. How It Works Triggers at 7 AM and 9 PM: Automates the process to summarize emails received during specific time blocks. Fetches Emails: Retrieves emails from the last 24 hours or after a specific time. Summarizes with AI: Uses OpenAI to process the email content into actionable summaries. Sends Team Updates: Compiles the summaries into a concise, formatted email and sends it to the team. Expected Results Significant reduction in missed actions and follow-ups. Customizations Adjust timings, filters, and recipients to suit your team’s needs.
By Vishal KumarContent farming - : AI-powered blog automation for WordPress
==🔥 Upgrade to V4== We’ve released Version 4 of our AI Powered Blog Automation workflow. We heard your complains and made a complete redesign built for serious content creators. ChatGPT 5, Inbound Links, Verified Outbound Links,YOAST seo integration, Company profile, higher SEO ranking, banner images using companys mascot, FAQ sections and conclusions, 35% cost reduction, 📝 Read the New Articles published by Content Farming v4 🛒 View the updated and improved v4 workflow Content Farming V2 AI Powered Blog Automation for WordPress This workflow automatically generates and publishes 10 blog posts per day to a WordPress site. It collects tech-related news articles, filters and analyzes them for relevance, expands them with research, generates SEO-optimized long-form articles using AI, creates a matching image using Leonardo AI, and publishes them via the WordPress REST API. Every step is tracked and stored in MongoDB for reference and performance tracking. You can see the demo results for the AI based articles here: Emp0 Articles How it works A scheduler runs daily to fetch the latest news from RSS feeds including BBC, TechCrunch, Wired, MIT Tech Review, HackerNoon, and others. The RSS data is normalized and filtered to include only articles published within the past 24 hours. Each article is passed through an OpenAI-powered classifier to check for relevance to predefined user topics like AI, robotics, or tech policy. Relevant articles are then aggregated, researched, and summarized with supporting sources and citations. An AI agent generates five long-tail SEO blog title ideas, ranks them by uniqueness and performance score, and selects the top one. A blog outline is created including H1 and H2 headers, keyword targeting, content structure, and featured snippet optimization. A full-length article (1000 to 1500 words) is generated based on the outline, with analogies, citations, examples, and keyword density maintained. SEO metadata is produced including meta title, description, image alt text, slug, and a readability audit. An AI-generated image is created based on the blog theme using Leonardo AI, enhanced for emotional storytelling and visual consistency. The blog article, metadata, and image are uploaded to WordPress as a draft, the image is attached, Yoast SEO metadata is set, and the article is published. All outputs including article versions, metadata, generation steps, and final blog URLs are stored in MongoDB to allow for future analytics and feedback. Requirements To run this project, you need accounts and API access for the following: | Tool | Purpose | Notes | |--------------|------------------------------------------------------------------|-----------------------------------------------------------------------| | OpenAI | Used for blog classification, generation, summarization, SEO | Around $0.20 per day, using GPT-4o-mini. Estimated monthly: $6 | | MongoDB | Stores data flexibly including drafts, titles, metadata, logs | Free tier on MongoDB Atlas offers 512 MB, enough for 64,000 articles | | Leonardo AI | Generates featured images for blog articles | $9 for 3500 credits, $5 monthly top-up needed for 300 images | | WordPress | Final publishing platform via REST API | Hosted on Hostinger for $15/year including domain | Setup Instructions Import the provided JSON file into your n8n instance. Configure these credentials in n8n: OpenAI API key MongoDB Atlas connection string HTTP Header Auth for Leonardo AI WordPress REST API credentials Modify the classifier and prompt nodes to reflect your preferred content themes. Adjust scheduler nodes if you want to change post frequency or publishing times. Run the n8n instance continuously using Docker, PM2, or hosted automation platform. Cost Estimate | Component | Daily Usage | Monthly Cost Estimate | |---------------|------------------------------|------------------------| | OpenAI | 10 posts per day | ~$6 | | Leonardo AI | 10 images per day (15 credits each) | ~$14 (9 base + 5 top-up) | | MongoDB | Free up to 512 MB | $0 | | WordPress | Hosting and domain | ~$1.25 | | Total | | ~$21/month | Observations and Learnings This system can scale daily article publishing with zero manual effort. However, current limitations include inconsistent blog length and occasional coherence issues. To address this, I plan to build a feedback loop within the workflow: An SEO Commentator Agent will assess keyword strength, structure, and discoverability. An Editor-in-Chief Agent will review tone, clarity, and narrative structure. Both agents will loop back suggestions to the content generator, improving each draft until it meets human-level standards. The final goal is to consistently produce high-quality, readable, SEO-optimized content that is indistinguishable from human writing.
By Jay Emp0Social media content generator and publisher | X, Linkedin
Generate and Publish AI Content to LinkedIn and X (Twitter) with n8n Overview This n8n workflow automates the generation and publishing of AI-powered social media content across LinkedIn and X (formerly Twitter). By leveraging AI, this workflow helps social media managers, marketers, and content creators streamline their posting process. Who is this for? Social media managers Content creators Digital marketers Businesses looking to automate content generation Features AI-powered content creation tailored for LinkedIn and X (Twitter) Automated publishing to both platforms Structured output parsing to ensure consistency OAuth2 authentication for secure posting Merge and confirmation steps to track successful postings Setup Instructions Prerequisites Before using this workflow, ensure you have: An n8n instance set up API credentials for: Google Gemini AI (for content generation) X Developer Account with OAuth2 authentication LinkedIn Developer Account with OAuth2 authentication A form submission service integrated with n8n Workflow Breakdown Trigger: Form Submission A user submits a form containing the post title. The form is secured with Basic Authentication. The submitted title is passed to the AI Agent. AI Content Generation The Google Gemini Chat Model processes the title and generates: LinkedIn post content Twitter (X) post content Hashtags Call-to-action (LinkedIn) Character limit check (Twitter) Parsing AI Output A structured output parser converts the AI-generated content into a JSON format. Ensures correct formatting for LinkedIn and Twitter (X). Publishing to Social Media X (Twitter) Posting Extracts the Twitter post from the AI output. Publishes it via an OAuth2-authenticated X (Twitter) account. LinkedIn Posting Extracts the LinkedIn post from the AI output. Publishes it via an OAuth2-authenticated LinkedIn account. Merging Post Results Merges the response data from both LinkedIn and Twitter after publishing. Confirmation Step Displays a final confirmation form once the posts are successfully published. Benefits Save time by automating content creation and publishing. Ensure consistency across platforms with structured AI-generated posts. Secure authentication using OAuth2 for LinkedIn and Twitter. Increase engagement with AI-optimized hashtags and CTAs. This workflow enables seamless social media automation, helping professionals post engaging AI-powered content effortlessly. 🚀
By ömerAI Timesheet Generator with Gmail, Calendar & GitHub to Google Sheets
AI-Powered Automatic Timesheet Generator for Google Sheets Stop wasting billable hours on manual time-tracking. AutoTimesheet Pro uses AI to collect emails, meetings, and GitHub work, then writes a clean timesheet straight into Google Sheets. Perfect for developers, consultants, agencies, and remote teams. Get Started with n8n now! --- 🚀 Key Features Automated Google Sheets time-tracking — zero spreadsheet prep. AI-generated activity summaries (≤ 120 chars) via OpenAI GPT-4o-mini. Gmail integration — logs only important emails, skipping newsletters & no-replies. Google Calendar time logger — captures confirmed events, duration, and attendees. GitHub commit & PR tracker — records your commits plus opened/closed PRs. Daily 7 PM cron trigger (easily adjustable). Month-based sheet creation — new tab spins up on the first run each month. No-code n8n template — just connect credentials and tweak one Set Variables node. 🔌 Easily extensible — drag-and-drop extra n8n nodes to add Slack, Jira, Notion, Asana, Trello, Toggl, or any other data source you need. --- 🔍 How It Works Collect — n8n pulls data from Gmail, Google Calendar, and chosen GitHub repos. Clean — filters remove noise (newsletters, irrelevant commits, etc.). Condense — OpenAI rewrites each item into a concise, SEO-friendly description. Write — workflow appends Date, Type, and Description to your Timesheet Google Sheet. Extend — simply insert new n8n nodes (e.g., Slack, Notion, Jira) and merge them into the same pipeline. --- 📈 Benefits for SEO-Minded Professionals Keyword-rich activity log improves internal search and reporting. Structured data in Sheets simplifies export to accounting or PM tools. Consistent naming (CALENDAR_EVENT, EMAIL, COMMIT, PR) makes analytics easy. --- ✅ Why Choose AutoTimesheet Pro? Zero manual entry — just open the sheet and bill clients. Immediate visibility into where your hours went. Works with any GitHub repo list and any inbox you own. 100 % no-code setup — activate in minutes. Built on n8n, so you can customize and scale without limits. --- 📥 Get Started Ready to replace manual time-tracking with smart automation? https://n8n.partnerlinks.io/ds9podzjls6d Join N8N now, connect your Google & GitHub accounts, and let AI handle your daily log. ---
By Luka ZivkovicExtract Google Trends keywords & summarize articles in Google Sheets
Stay ahead of trends by automating your content research. This workflow fetches trending keywords from Google Trends RSS, extracts key insights from top articles, and saves structured summaries in Google Sheets—helping you build a data-driven editorial plan effortlessly. How it works Fetch Google Trends RSS – The workflow retrieves trending keywords along with three related article links. Extract & Process Content – It fetches the content of these articles, cleans the HTML, and generates a concise summary using Jina AI. Store in Google Sheets – The processed insights, including the trending keyword and summary, are saved in a pre-configured Google Sheet. Setup Steps Prepare a Google Sheet – Ensure you have a Google Sheet ready to store the extracted data. Configure API Access – Set up Google Sheets API and any required authentication. Get Jina.ai API key Adjust Workflow Settings – A dedicated configuration node allows you to fine-tune how data is processed and stored. Customization Modify the RSS source to focus on specific Google Trends regions or categories. Adjust the content processing logic to refine how article summaries are created. Expand the workflow to integrate with CMS (e.g., WordPress) for automated content planning. This workflow is ideal for content strategists, SEO professionals, and news publishers who want to quickly identify and act on trending topics without manual research. 🚀 Google Sheets Fields Copy and paste these column headers into your Google Sheet: | Column Name | Description | |------------------------|-------------| | status | Initial status of the keyword (e.g., "idea") | | trending_keyword | Trending keyword extracted from Google Trends | | approx_traffic | Estimated traffic for the trending keyword | | pubDate | Date when the keyword was fetched | | newsitemurl1 | URL of the first related news article | | newsitemtitle1 | Title of the first news article | | newsitemurl2 | URL of the second related news article | | newsitemtitle2 | Title of the second news article | | newsitemurl3 | URL of the third related news article | | newsitemtitle3 | Title of the third news article | | newsitempicture1 | Image URL from the first news article | | newsitemsource1 | Source of the first news article | | newsitempicture2 | Image URL from the second news article | | newsitemsource2 | Source of the second news article | | newsitempicture3 | Image URL from the third news article | | newsitemsource3 | Source of the third news article | | abstract | AI-generated summary of the articles (limited to 49,999 characters) | Instructions Open Google Sheets and create a new spreadsheet. Copy the column names from the table above. Paste them into the first row of your Google Sheet.
By MikoExecute an SQL query in Microsoft SQL
No description available.
By tanaypantAutomate Instagram posts with Google Drive, AI captions & Facebook API
This template streamlines your Instagram content posting workflow by connecting Google Drive for image storage, using OpenAI for AI-generated captions, and leveraging Facebook Graph API for automated publishing. Pre-requisites Before setting up this workflow, ensure you have: A Google account with access to Google Drive An OpenAI API key for AI caption generation A Facebook Developer account with Instagram Graph API access An Instagram Business or Creator account connected to a Facebook Page n8n.io account with workflow access Setup Instructions Configure Data Source Create a Google Sheet with the following columns: Name: Filename of your image in Google Drive Caption: Optional custom caption (leave empty for AI-generated captions) URL: your Video Reel or Image in Google Drive Connect Google Drive Add your Google Drive credentials in the "Google Drive" node Specify the folder path where your Instagram image/Video are stored Configure the node to retrieve image files based on filenames from your Google Sheet Set Up OpenAI Integration Add your OpenAI API key to the credentials Configure the OpenAI node to generate engaging captions based on image content Adjust temperature and model parameters for desired creativity level Configure Facebook Graph API Connect your Facebook account with Instagram access Set up the Facebook Graph API node to post to your Instagram Business/Creator account Ensure proper image formatting (1:1, 4:5, or 16:9 aspect ratios supported by Instagram) Workflow Automation Setup Configure the scheduler node to run at your preferred frequency Set up error handling to notify you of any posting failures Add conditional nodes to use either custom or AI-generated captions Execution Instructions After completing all connections, test the workflow with a single image Monitor the execution in the n8n dashboard to ensure proper functioning View the "Executions" tab to track successful posts and troubleshoot any errors Adjust posting frequency and scheduling as needed This template saves hours of manual Instagram posting work while maintaining an authentic presence. Perfect for social media managers, content creators, and businesses looking to maintain consistent Instagram activity without the daily manual effort. The workflow handles image retrieval, caption generation or customization, proper Instagram API formatting, scheduled posting, and execution tracking - all in one automated solution.
By SagarKB tool - Confluence knowledge base
Enhance Query Resolution with the Knowledge Base Tool! Our KB Tool - Confluence KB is crafted to seamlessly integrate into the IT Ops AI SlackBot Workflow, enhancing the IT support process by enabling sophisticated search and response capabilities via Slack. Workflow Functionality: Receive Queries: Directly accepts user queries from the main workflow, initiating a dynamic search process. AI-Powered Query Transformation: Utilizes OpenAI's models or local ai to refine user queries into searchable keywords that are most likely to retrieve relevant information from the Knowledge Base. Confluence Integration: Executes searches within Confluence using the refined keywords to find the most applicable articles and information. Deliver Accurate Responses: Gathers essential details from the Confluence results, including article titles, links, and summaries, preparing them to be sent back to the parent workflow for final user response. To view a demo video of this workflow in action, click here. Quick Setup Guide: Ensure correct configurations are set for OpenAI and Confluence API integrations. Customize query transformation logic as per your specific Knowledge Base structure to improve search accuracy. Need Help? Dive into our Documentation or get support from the Community Forum! Deploy this tool to provide precise and informative responses, significantly boosting the efficiency and reliability of your IT support workflow.
By Angel MenendezTranscribe voice messages from Telegram using OpenAI Whisper-1
This n8n workflow processes incoming Telegram messages, differentiating between text and voice messages. How it works: Message Trigger: The workflow initiates when a new message is received via the Telegram "Message Trigger" node. Switch Node: This node acts as a router. It examines the incoming message: If the message is text, it directs the flow along the "text" branch. If the message contains voice, it directs the flow along the "voice" branch. Get Audio File: For audio messages, this node downloads the audio file from Telegram. Transcribe Audio: The downloaded audio file is then sent to an "OpenAI Transcribe Recording" node, which uses OpenAI's whisper-1 speech-to-text model to convert the audio into a text transcript. Send Transcription Message: Regardless of whether the original message was text or transcribed audio, the final text content is then passed to a "Send transcription message" node. Setup Requirements: Telegram Bot Token: You will need a Telegram bot token configured in the "Message Trigger" node to receive messages. OpenAI API Key: An OpenAI API key is required for the "Transcribe audio" node to perform speech transcription. Additional Notes: This workflow provides a foundational step for building more complex AI-driven applications. The transcribed text or original text message can be easily piped into an AI agent (e.g., a large language model) for analysis, response generation, or interaction with other tools, extending the bot's capabilities beyond simple message reception and transcription. 👉 Need Help? Feel free to contact us at 1 Node. Get instant access to a library of free resources we created.
By Aitor | 1NodeReceive updates for events in Jira
Companion workflow for Jira Trigger node docs
By amudhan🔥📈🤖 AI agent for n8n creators leaderboard - find popular workflows
n8n Creators Leaderboard Workflow Why Use This Workflow? The n8n Creators Leaderboard Workflow is a powerful tool for analyzing and presenting detailed statistics about workflow creators and their contributions within the n8n community. It provides users with actionable insights into popular workflows, community trends, and top contributors, all while automating the process of data retrieval and report generation. Benefits Discover Popular Workflows: Identify workflows with the most unique visitors and inserters (weekly and monthly). Understand Community Trends: Gain insights into what workflows are resonating with the community. Recognize Top Contributors: Highlight impactful creators to foster collaboration and inspiration. Save Time with Automation: Automates data fetching, processing, and reporting for efficiency. Use Cases For Workflow Creators: Track performance metrics of your workflows to optimize them for better engagement. For Community Managers: Identify trends and recognize top contributors to improve community resources. For New Users: Explore popular workflows as inspiration for building your own automations. --- How It Works This workflow aggregates data from GitHub repositories containing statistics about workflow creators and their templates. It processes this data, filters it based on user input, and generates a detailed Markdown report using an AI agent. Key Features Data Aggregation: Fetches creator and workflow statistics from GitHub JSON files. Custom Filtering: Focuses on specific creators based on a username provided via chat. AI-Powered Reports: Generates comprehensive Markdown reports with summaries, tables, and insights. Output Flexibility: Saves reports locally with timestamps for easy access. Data Retrieval & Processing Creators Data: Retrieved via an HTTP Request node from a JSON file containing aggregated statistics about creators. Workflows Data: Pulled from another JSON file with workflow metrics like visitor counts and inserter statistics. Data Merging: Combines creator and workflow data by matching usernames to provide enriched statistics. Report Generation The AI agent generates a Markdown report that includes: A summary of the creator’s contributions. A table of workflows with key metrics (e.g., unique visitors, inserters). Insights into trends or community feedback. The report is saved locally as a file with a timestamp for tracking purposes. --- Quick Start Guide Prerequisites Ensure your n8n instance is running. Verify that the GitHub base URL and file variables are correctly set in the Global Variables node. Confirm that your OpenAI credentials are configured for the AI Agent node. How to Start Activate the Workflow: Make sure the workflow is active in your n8n environment. Trigger via Chat: Use the Chat Trigger node to initiate the workflow by sending a message like: show me stats for username [desired_username] Replace [desired_username] with the username you want to analyze. Processing & Report Generation: The workflow fetches data, processes it, and generates a Markdown report. View Output: The final report is saved locally as a file (with a timestamp), which you can review to explore leaderboard insights.
By Joseph LePage