Workflow Templates

TikTok Transcript to OpenAI GPT-4 This automation workflow provides a seamless, efficient, and AI-powered solution for extracting, processing, and storing TikTok video subtitles. By combining TikTok Transcript API, OpenAI GPT-4 API, and Google Docs, this workflow transforms the process of transcription and text analysis into a smooth, automated experience. It's perfect for content creators, marketers, and businesses who need to process large volumes of TikTok videos and want to leverage AI for language processing and summarization. How It Works: User Form Submission: The process begins when a user submits a TikTok video URL and specifies the language in which they want the processed content. The data is captured via a simple form that triggers the entire workflow. The form is crucial for collecting the necessary parameters before processing, such as the video link and language preferences. Fetching Subtitles from TikTok: The workflow uses the TikTok Transcript API to retrieve subtitles from the specified TikTok video. This API extracts all textual data associated with the video (including spoken words, captions, etc.) in real-time. The TikTok Transcript API allows you to fetch subtitles efficiently, making it ideal for those who need to process content from TikTok quickly. Advanced Processing with OpenAI GPT-4: Once the TikTok subtitles are fetched, the workflow sends this text to OpenAI’s GPT-4 API. OpenAI's GPT-4 model is renowned for its powerful natural language processing capabilities, making it perfect for handling multi-lingual data. OpenAI GPT-4 API processes the raw transcript in several ways, including: Translation: If the subtitles are in a different language, GPT-4 API can translate them to the desired language. Summarization: GPT-4 API can summarize long TikTok video subtitles into concise points, saving you time and effort. Text Interpretation: You can configure GPT-4 API to generate insights, analyze emotions, or interpret context, which is ideal for detailed content analysis. Storing the Results in Google Docs: After processing the subtitles, the final output (whether it is a translated, summarized, or interpreted version) is automatically saved into a Google Doc. This integration allows the processed text to be stored in an easily editable and shareable format. The document can be accessed by anyone with permission, making it perfect for team collaboration or content management. Workflow Automation: The automation continues with a wait step to ensure that all data is fetched and processed before moving on to storing it in Google Docs. It ensures that the entire process is handled without needing manual intervention, from fetching subtitles to generating results and storing them. Key Features and Benefits: Efficient TikTok Subtitle Extraction: Automatically fetch TikTok video subtitles using the **TikTok Transcript API, eliminating the need for manual transcription. AI-Driven Text Processing: Use the power of **OpenAI GPT-4 API to process the extracted text. GPT-4 API can translate, summarize, or analyze the subtitles for advanced insights, making it far more than just a transcription tool. Seamless Multi-Language Support: **OpenAI GPT-4 API handles multiple languages, translating or summarizing the content based on the user’s input. This makes the workflow versatile for global content creators and marketers. Google Docs Integration: After processing the subtitles, the results are saved directly into **Google Docs for easy access, editing, and sharing. This ensures that all processed data is stored in an organized manner and ready for use in various projects. Time & Effort Savings**: The entire process is automated from start to finish, allowing users to bypass manual transcription and processing tasks. You can focus on creating content while the workflow handles all the repetitive tasks. Advanced Text Insights: By using **OpenAI’s GPT-4 API, you not only get the raw transcript, but you also get insights, summaries, translations, and other interpretations that enhance your content’s value. Challenges Solved: Manual Transcription: This workflow eliminates the need for manual transcription by automatically fetching subtitles from TikTok using the **TikTok Transcript API. Language Barriers: With **OpenAI GPT-4, users can translate TikTok video subtitles into any language, ensuring the content is accessible to a global audience. Content Management: By storing processed content in **Google Docs, this workflow makes it easier to manage and collaborate on transcriptions and analysis, providing a central hub for your data. Automation for Productivity**: This workflow automates every step of the process, from fetching subtitles to analyzing and storing them, freeing up time for higher-value tasks like content creation, strategy planning, or marketing. APIs Integrated: TikTok Transcript API**: Retrieves subtitles directly from TikTok videos, providing the base for further processing. OpenAI GPT-4 API**: Handles advanced text processing, including translation, summarization, and analysis of the TikTok video subtitles. Google Docs API**: Stores processed content into Google Docs, providing a clean, accessible format for viewing and collaboration. Use Cases: Content Creation**: Automatically process and summarize video subtitles for content creation, marketing, or research purposes. Market Research**: Extract and analyze content from TikTok to understand audience sentiment, trending topics, and engagement strategies. Education**: Teachers and educators can use the workflow to analyze educational TikTok videos and save the insights in Google Docs for lesson planning. Conclusion: This TikTok Transcript to OpenAI GPT-4 + Google Docs Automation workflow saves time, enhances content processing with AI, and organizes results into easily accessible documents. By integrating the TikTok Transcript API and OpenAI GPT-4 API, it provides a smart, automated solution for anyone working with TikTok content. Whether you're a content creator, researcher, or marketer, this workflow can help you streamline and optimize your content processing tasks.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically performs weekly keyword research and competitor analysis to discover trending keywords in your industry. It saves you time by eliminating the need to manually research keywords and provides a constantly updated database of trending search terms and opportunities. Overview This workflow automatically researches trending keywords for any specified topic or industry using AI-powered search capabilities. It runs weekly to gather fresh keyword data, analyzes search trends, and saves the results to Google Sheets for easy access and analysis. Tools Used n8n**: The automation platform that orchestrates the workflow Bright Data**: For accessing search engines and keyword data sources OpenAI**: AI agent for intelligent keyword research and analysis Google Sheets**: For storing and organizing keyword research data How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Bright Data: Add your Bright Data credentials to the MCP Client node Set Up OpenAI: Configure your OpenAI API credentials Configure Google Sheets: Connect your Google Sheets account and set up your keyword tracking spreadsheet Customize: Define your target topics or competitors for keyword research Use Cases SEO Teams**: Discover new keyword opportunities and track trending search terms Content Marketing**: Find trending topics for content creation and strategy PPC Teams**: Identify new keywords for paid advertising campaigns Competitive Analysis**: Monitor competitor keyword strategies and market trends Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #keywordresearch #seo #brightdata #webscraping #competitoranalysis #contentmarketing #n8nworkflow #workflow #nocode #seoresearch #keywordmonitoring #searchtrends #digitalmarketing #keywordtracking #contentautomation #marketresearch #trendingkeywords #keywordanalysis #seoautomation #keyworddiscovery #searchmarketing #keyworddata #contentplanning #seotools #keywordscraping #searchinsights #markettrends #keywordstrategy

Workflow Description: This n8n workflow automates the drafting of email replies for Fastmail using OpenAI's GPT-4 model. Here’s the overall process: Email Monitoring: The workflow continuously monitors a specified IMAP inbox for new, unread emails. Email Data Extraction: When a new email is detected, it extracts relevant details such as the sender, subject, email body, and metadata. AI Response Generation: The extracted email content is sent to OpenAI's GPT-4, which generates a personalized draft response. Get Fastmail Session and Mailbox IDs: Connects to the Fastmail API to retrieve necessary session details and mailbox IDs. Draft Identification: Identifies the "Drafts" folder in the mailbox. Draft Preparation: Compiles all the necessary information to create the draft, including the generated response, original email details, and specified recipient. Draft Uploading: Uploads the prepared draft email to the "Drafts" folder in the Fastmail mailbox. Prerequisites: IMAP Email Account: You need to configure an IMAP email account in n8n to monitor incoming emails. Fastmail API Credentials: A Fastmail account with JMAP API enabled. You should set up HTTP Header authentication in n8n with your Fastmail API credentials. OpenAI API Key: An API key from OpenAI to access GPT-4. Make sure to configure the OpenAI credentials in n8n. Configuration Steps: Email Trigger (IMAP) Node: Provide your email server settings and credentials to monitor emails. HTTP Request Nodes for Fastmail: Set up HTTP Header authentication in n8n using your Fastmail API credentials. Replace the httpHeaderAuth credential IDs with your configured credential IDs. OpenAI Node: Configure the OpenAI API key in n8n. Replace the openAiApi credential ID with your configured credential ID. By following these steps and setting up the necessary credentials, you can seamlessly automate the creation of email drafts in response to new emails using AI-generated content. This workflow helps improve productivity and ensures timely, personalized communication.

Use case Automatically create todo items in Todoist every morning. This workflow has two flows At 5am, delete any uncompleted tasks every morning At 5:10 am, copy all template tasks into Inbox In each template task, set the due dates and days to add the task. You can do that like this days:mon,tues; due:8pm which will add the task every Monday and Tuesday and make it due at 8pm. How to setup Add Todoist creds Create a template list to copy from in Todoist. Add days and due times on each task as necessary. Set the projects to copy from and to write to in each Todoist node

This workflow serves as a solid foundation when you need an AI Agent to return output in a specific JSON schema, without relying on the often-unreliable Structured Output Parser. What It Does The example workflow takes a simple input (like a food item) and expects a JSON-formatted output containing its nutritional values. Why Use This Instead of Structured Output Parser? The built-in Structured Output Parser node is known to be unreliable when working with AI Agents. While the n8n documentation recommends using a “Basic LLM Chain” followed by a Structured Output Parser, this alternative workflow completely avoids using the Structured Output Parser node. Instead, it implements a custom loop that manually validates the AI Agent's output. This method has proven especially reliable with OpenAI's gpt-4.1 series (gpt-4.1, gpt-4.1-mini, gpt-4.1-nano), which tend to produce correctly structured JSON on the first try, as long as the System Prompt is well defined. In this template, gpt-4.1-nano is set by default. How It Works Instead of using the Structured Output Parser, this workflow loops the AI Agent through a manual schema validation process: A custom schema check is performed after the AI Agent response. A runIndex counter tracks the number of retries. A Switch node: If the output does not match the expected schema, it routes back to the AI Agent with an updated prompt asking it to return the correct format. The process allows up to 4 retries to avoid infinite loops. If the output does match the schema, it continues to a Set node that serves as chat response (you can customize this part to fit your use case). This approach ensures schema consistency, offers flexibility, and avoids the brittleness of the default parser.

🔎 Who is this for? This workflow is designed for podcast creators, content marketers, and video producers who want to convert YouTube videos into podcast-ready scripts. It's perfect for anyone repurposing long-form content to reach audio-first audiences without manual effort. 🧠 What problem is this workflow solving? Creating podcast scripts from YouTube videos manually is time-consuming. This workflow automates the process by pulling transcripts, cleaning the text, organizing the dialogue, summarizing the key points, and saving everything in one place. It removes the need for manual transcription, formatting, and structuring. ⚙️ What this workflow does This workflow uses Dumpling AI and GPT-4o to automate the transformation of YouTube video transcripts into polished podcast scripts. Here's how it works: RSS Feed Trigger Monitors a YouTube RSS feed for new video uploads. When a new video is detected, the workflow begins automatically. Get YouTube Transcript (Dumpling AI) Uses Dumpling AI's get-youtube-transcript endpoint to extract the full transcript from the video URL. Generate Podcast Script with GPT-4o GPT-4o receives the transcript and generates a structured JSON output including: Cleaned transcript with filler words removed Speaker labels for clarity A short, engaging podcast title A concise summary of the episode Save to Airtable The structured data (title, summary, cleaned transcript) is saved to Airtable for easy review, editing, or publishing. This automation is an ideal workflow for repurposing video content into audio-friendly formats, cutting down production time while increasing content output across platforms.

Welcome to my Airbnb Telegram Agent Workflow! This workflow creates an intelligent Telegram bot that helps users search and find Airbnb accommodations using natural language queries and voice messages. DISCLAIMER: This workflow only works with self-hosted n8n instances! You have to install the n8n-nodes-mcp-client Community Node! What this workflow does This workflow processes incoming Telegram messages (text or voice) and provides personalized Airbnb accommodation recommendations. The AI agent understands natural language queries, searches through Airbnb data using MCP tools, and returns mobile-optimized results with clickable links, prices, and key details. Key Features: Voice message support (speech-to-text and text-to-speech) Conversation memory for context-aware responses Mobile-optimized formatting for Telegram Real-time Airbnb data access via MCP integration This workflow has the following sequence: Telegram Trigger - Receives incoming messages from users Text or Voice Switch - Routes based on message type Voice Processing (if applicable) - Downloads and transcribes voice messages Text Preparation - Formats text input for the AI agent Airbnb AI Agent - Core logic that: Lists available MCP tools for Airbnb data Executes searches with parsed parameters Formats results for mobile display Response Generation - Sends formatted text response Voice Response (optional) - Creates and sends audio summary Requirements: Telegram Bot API**: Documentation Create a bot via @BotFather on Telegram Get bot token and configure webhook OpenAI API**: Documentation Used for speech transcription (Whisper) Used for chat completion (GPT-4) Used for text-to-speech generation MCP Community Client Node**: Documentation Custom integration for Airbnb data Requires MCP server setup with Airbnb/Airtable connection Provides tools for accommodation search and details Important: You need to set up an MCP server with Airbnb data access. The workflow uses MCP tools to retrieve real accommodation data, so ensure your MCP server is properly configured with the Airtable/Airbnb integration. Configuration Notes: Update the Telegram chat ID in the trigger for your specific bot Modify the system prompt in the Airbnb Agent for different use cases The workflow supports both individual users and can be extended for group chats Feel free to contact me via LinkedIn, if you have any questions!

Title: Automatic Strava Titles & Descriptions Generation with AI Description: This n8n workflow connects your Strava account to an AI to automatically generate personalized titles and descriptions for every new cycling activity. It leverages the native Strava trigger to detect new activities, extracts and formats ride data, then queries an AI agent (OpenRouter, ChatGPT, etc.) with an optimized prompt to get a catchy title and inspiring description. The workflow then updates the Strava activity in real time, with zero manual intervention. Key Features: Secure connection to the Strava API (OAuth2) Automatic triggering for every new activity Intelligent data preparation and formatting AI-powered generation of personalized content (title + description) Instant update of the activity on Strava Use Cases: Cyclists wanting to automatically enhance their Strava rides Sports content creators Community management automation for sports groups Prerequisites: Strava account Strava OAuth2 credentials set up in n8n Access to a compatible AI agent (OpenRouter, ChatGPT, etc.) Benefits: Saves time Advanced personalization Boosts the appeal of every ride to your community

This workflow analyzes the sentiments of the feedback provided by users and sends them to a Mattermost channel. Typeform Trigger node: Whenever a user submits a response to the Typeform, the Typeform Trigger node will trigger the workflow. The node returns the response that the user has submitted in the form. Google Cloud Natural Language node: This node analyses the sentiment of the response the user has provided and gives a score. IF node: The IF node uses the score provided by the Google Cloud Natural Language node and checks if the score is negative (smaller than 0). If the score is negative we get the result as True, otherwise False. Mattermost node: If the score is negative, the IF node returns true and the true branch of the IF node is executed. We connect the Mattermost node with the true branch of the IF node. Whenever the score of the sentiment analysis is negative, the node gets executed and a message is posted on a channel in Mattermost. NoOp: This node here is optional, as the absence of this node won't make a difference to the functioning of the workflow. This workflow can be used by Product Managers to analyze the feedback of the product. The workflow can also be used by HR to analyze employee feedback. You can even use this node for sentiment analysis of Tweets. To perform a sentiment analysis of Tweets, replace the Typeform Trigger node with the Twitter node. Note:* You will need a Trigger node or Start node to start the workflow. Instead of posting a message on Mattermost, you can save the results in a database or a Google Sheet, or Airtable. Replace the Mattermost node with (or add after the Mattermost node) the node of your choice to add the result to your database. You can learn to build this workflow on the documentation page of the Google Cloud Natural Language node.

UX Interview Analysis with OpenAI: Transcipt, Summarize, and Export to Google Sheets!* About Easily analyze and summarize UX interviews. Just upload your files to Google Drive and get the insights directly in Google Sheets. How It Works The workflow is triggered manually Upload the interview recordings in MP3 format to Google Drive (or modify the node “Filter by MP3” to support other formats) OpenAI transcribes the audio An AI agent generates a summary Store the results in Google Sheets How To Use Import the package into your n8n interface Set up credentials for each node to access the required tools Upload your interview files to Google Drive Create a Google Sheet with the following columns: • Persona • User Needs • Pain Points • New Feature Requests Connect the Google Sheets node titled “Insert results to Google Sheets” to your created document Start the workflow Requirements OpenAI for transcription and summarization (you can replace it with Gemini if preferred)

This workflow analyzes the sentiments of the feedback provided by users and sends them to a Mattermost channel. Typeform Trigger node: Whenever a user submits a response to the Typeform, the Typeform Trigger node will trigger the workflow. The node returns the response that the user has submitted in the form. AWS Comprehend node: This node analyses the sentiment of the response the user has provided and gives a score. IF node: The IF node uses the data provided by the AWS Comprehend node and checks if the sentiment is negative. If the sentiment is negative we get the result as true, otherwise false. Mattermost node: If the score is negative, the IF node returns true and the true branch of the IF node is executed. We connect the Mattermost node with the true branch of the IF node. Whenever the score of the sentiment analysis is negative, the node gets executed and a message is posted on a channel in Mattermost. NoOp: This node here is optional, as the absence of this node won't make a difference to the functioning of the workflow. This workflow can be used by Product Managers to analyze the feedback of the product. The workflow can also be used by HR to analyze employee feedback. You can even use this node for sentiment analysis of Tweets. To perform a sentiment analysis of Tweets, replace the Typeform Trigger node with the Twitter node. Note: You will need a Trigger node or Start node to start the workflow. Instead of posting a message on Mattermost, you can save the results in a database or a Google Sheet, or Airtable. Replace the Mattermost node with (or add after the Mattermost node) the node of your choice to add the result to your database.

🤖 Discord AI Workflow: Your Automated Assistant! 🚀 🌟 Workflow Overview Transforms your Discord server into an intelligent, responsive powerhouse of communication and automation! 🔧 Core Components 💬 AI-Powered Messaging 🤝 Multi-Channel Interaction 🧠 Smart Response Generation 🔗 Seamless Workflow Integration 🚦 Trigger Modes 1️⃣ Workflow Trigger 🔓 Activated by external workflows 📨 Processes incoming tasks 🌐 Supports complex automation scenarios 2️⃣ Chat Message Trigger 🗣️ Responds to direct Discord messages 🤔 Contextual understanding 🔍 Real-time interaction 🛠️ Key Features 🤖 AI-Driven Conversations 📊 Dynamic Message Handling 🔒 Secure Credential Management 🌈 Flexible Configuration 🚀 Use Cases 📢 Automated Announcements 🆘 Support Ticket Management 📝 Content Generation 🤝 Community Engagement 💡 Smart Capabilities 🧩 Modular Design 🔄 Seamless Data Flow 📝 Character Limit Management 🌐 Multi-Channel Support 🛡️ Security & Performance 🔐 OAuth Integration 🚧 Error Handling 📊 Performance Optimization 🛠️ Continuous Improvement 🎯 Workflow Magic User Input ➡️ AI Processing ➡️ Smart Response ➡️ Discord Channel 🌟 🤖 💬 📨 🔍 Customization Playground 🎨 Personalize AI Responses 🔧 Adjust Interaction Rules 📐 Fine-Tune Workflow Behavior 🚧 Troubleshooting Toolkit 🕵️ Credential Verification 🔬 Permissions Check 📋 Comprehensive Logging 🆘 Error Handling Strategies 🌈 Future Possibilities 🤖 Advanced AI Integration 🚀 Expanded Interaction Modes 🧠 Machine Learning Enhancements 🌐 Ecosystem Expansion