Workflow Templates

Description This n8n automation template provides an end-to-end solution for generating a series of themed images for Instagram and TikTok carousels using OpenAI's GPT Image (via the image generation API) and automatically publishing them to both platforms. It uses a sequence of prompts to create a narrative or themed carousel, generating each image based on the previous one, and then posts them with an AI-generated caption. Who Is This For? Social Media Managers:** Quickly create and schedule engaging image carousels for Instagram and TikTok. Content Creators:** Automate the visual content creation process for thematic posts or storytelling carousels. Digital Marketers:** Efficiently produce visual assets for campaigns that require sequential imagery. Small Businesses:** Generate unique promotional content for social media without needing advanced design skills. What Problem Does This Workflow Solve? Manually creating a series of related images for a carousel and then publishing them across multiple platforms can be repetitive and time-consuming. This workflow addresses these issues by: Automating Image Generation:** Uses OpenAI to generate a sequence of 5 images, where each new image is an evolution based on the previous one and a new prompt. Automating Caption Generation:** Leverages OpenAI (GPT) to create a suitable description/caption for the carousel based on the image prompts. Streamlining Multi-Platform Publishing:** Automatically uploads the generated image carousel and caption to both Instagram and TikTok. Reducing Manual Effort:** Significantly cuts down the time spent on designing individual images and manually uploading them. Ensuring Visual Cohesion:** The sequential image generation method (editing the previous image) helps maintain a consistent style or narrative across the carousel. How It Works Trigger: The workflow is initiated manually (can be adapted to a schedule or webhook). Define Prompts: Five distinct prompts are pre-set within the workflow to guide the generation of each image in the carousel. AI Caption Generation: OpenAI (GPT-4.1) generates a concise (≤ 90 characters for TikTok) description for the social media posts based on all five image prompts. Sequential AI Image Generation: Image 1: OpenAI's image generation API (specified as gpt-image-1) creates the first image based on prompt1. Image 2-5: For each subsequent image, the workflow uses the OpenAI image edits API. It takes the previously generated image and a new prompt (prompt2 for image 2, prompt3 for image 3, and so on) to create the next image in the sequence. Images are converted from base64 JSON to binary format. Content Aggregation: The five generated binary image files (named photo1 through photo5) are merged. Multi-Platform Distribution: The merged images and the AI-generated description are sent to api.upload-post.com for publishing as a carousel to Instagram. The same content is sent to api.upload-post.com for publishing as a carousel to TikTok, with an option to automatically add music. The TikTok description is truncated if it exceeds 90 characters. Setup Accounts & API Keys: You will need: An n8n instance. An OpenAI API key. An API key for upload-post.com. Configure Credentials: Add your OpenAI API key to the "OpenAI" credentials in n8n. This will be used by the "Generate Description for Tiktok and Instagram" node and the HTTP Request nodes calling the OpenAI image generation/edit APIs. In the "POST TO INSTAGRAM" and "POST TO TIKTOK" nodes, replace "Apikey add_api_key_here" with your actual upload-post.com API key. Update the user field in the "POST TO INSTAGRAM" and "POST TO TIKTOK" nodes if "upload_post" is not your user identifier for that service. Customize Prompts: Modify the five prompts (prompt1 to prompt5) in the "Set All Prompts" node to define the story or theme of your image carousel. Review Image Generation Parameters: In the "Set API Variables" node, you can adjust: size_of_image (e.g., "1024x1536" for vertical carousels). openai_image_model (ensure this matches a valid OpenAI model identifier for image generation/edits, like dall-e-2 or dall-e-3 if gpt-image-1 is a placeholder). response_format_image (should generally remain b64_json for this workflow). (Optional) TikTok Auto Music: The "POST TO TIKTOK" node has an auto_add_music parameter set to true. Change this to false if you prefer to add music manually or not at all. Requirements Accounts:** n8n, OpenAI, upload-post.com. API Keys & Credentials:** API Keys for OpenAI and https://upload-post.com. (Potentially) Paid Plans:** OpenAI and upload-post.com usage may incur costs depending on your volume and their respective pricing models. This template empowers you to automate the creation and distribution of visually consistent image carousels, saving time and enhancing your social media presence.

🎬 What it does This workflow creates an engaging YouTube Short with a single click — from script to voiceover, to visuals and background music. It combines several AI tools to automate content creation and final video assembly. ⚙️ How it works Accepts an input prompt or topic Generates script using GPT Converts script to voiceover using ElevenLabs Generates b-roll style images via Leonardo.Ai Matches background music Assembles a vertical 1080×1920 MP4 video using JSON render config Optionally uploads to YouTube or saves to Cloudinary 🧰 Setup steps Add your credentials: Leonardo API (image generation) ElevenLabs (voiceover) Cloudinary (upload destination) Any GPT-based text generator Drop your audio/music file in the right node Replace API expressions with your own credentials > 🟨 Full step-by-step instructions are in sticky notes inside the workflow.

Who is this for? Content creators, digital marketers, and social media managers who want to automate the creation of short-form videos for platforms like TikTok, YouTube Shorts, and Instagram Reels without extensive video editing skills. What problem does this workflow solve? Creating engaging short-form videos consistently is time-consuming and requires multiple tools and skills. This workflow automates the entire process from ideation to publishing, significantly reducing the manual effort needed while maintaining content quality. What this workflow does This all-in-one solution transforms ideas into fully produced short-form videos through a 5-step process: Generate video captions from ideas stored in a Google Sheet Create AI-generated images using Flux and the OpenAI API Convert images to videos using Kling's API Add voice-overs to your content with Eleven Labs Complete the video production with Creatomate by adding templates, transitions, and combining all elements The workflow handles everything from sourcing content ideas to rendering the final video, and even notifies you on Discord when videos are ready. Setup (Est. time: 20-30 minutes) Before getting started, you'll need: n8n installation (tested on version 1.81.4) OpenAI API Key (free trial credits available) PiAPI (free trial credits available) Eleven Labs (free account) Creatomate API Key (free trial credits available) Google Sheets API enabled in Google Cloud Console Google Drive API enabled in Google Cloud Console OAuth 2.0 Client ID and Client Secret from your Google Cloud Console Credentials How to customize this workflow to your needs Adjust the Google Sheet structure to include additional data like video length, duration, style, etc. Modify the prompt templates for each AI service to match your brand voice and content style Update the Creatomate template to reflect your visual branding Configure notification preferences in Discord to manage your workflow This workflow combines multiple AI technologies to create a seamless content production pipeline, saving you hours of work per video and allowing you to focus on strategy rather than production.

How it works This workflow provides a streamlined process for uploading files to Digital Ocean Spaces, making them publicly accessible. The process happens in three main steps: User submits the form with file, in this case I needed it to upload images I use in my seo tags. File is automatically uploaded to Digital Ocean Spaces using S3-compatible storage Form completion confirmation is provided Setup steps Initial setup typically takes 5-10 minutes Configure your Digital Ocean Spaces credentials and bucket settings Test the upload functionality with a small sample file Verify public access permissions are working as expected Important notes Credentials are tricky check the screenshot above for how I set the url, bucket etc. I am just using the S3 Node Set the ACL as seen below Troubleshooting Bucket name might be incorrect Region Wrong Check Space permissions if uploads fail Verify API credentials are correctly configured You can see a video here. (live in 24 hours) https://youtu.be/pYOpy3Ntt1o

How it works: This workflow automates tagging for WordPress posts using AI: Fetch blog post content and metadata. Generate contextually relevant tags using AI. Verify existing tags in WordPress and create new ones if necessary. Automatically update posts with accurate and optimized tags. Set up steps: Estimated time: ~15 minutes. Configure the workflow with your WordPress API credentials. Connect your content source (e.g., RSS feed or manual input). Adjust tag formatting preferences in the workflow settings. Run the workflow to ensure proper tag creation and assignment. This workflow is perfect for marketers and content managers looking to streamline their content categorization and improve SEO efficiency.

This template demonstrates how to provide an interactive chatbot for your work history based off your CV. Unanswered questions and follow-up email contacts are sent to you via Telegram. Use case: link on your profile to not only show off you AI workflow skills but also to provide an interactive chatbot about your work history for prospective employers. Good to Know It will require access to an OpenAI API Key (free for low usage) and setting up a bot in Telegram (free). How it Works The n8n inbuilt chat node will be hosted on n8n services to provide the chat interface. You will upload your CV either exported from LinkedIn or exported yourself to Microsoft OneDrive along with a simple text file explaining some other information about you. On each chat interaction the PDF and text file are used as tools to get context information for the chatbot to respond. If a question cannot be answered reliably, a subworkflow will be called to capture that question and send it to you as a telegram message. If the person chatting supplies their email address, this will be sent to you via a Telegram message along with other information the user provides. How to use After importing the template, create the subworkflows so that they can be used a Tools by the AI Node. Don't forget to add the Execute sub-workflow trigger. Setup credentials for Open AI, OneDrive and telegram. Upload your CV & text file summary to OneDrive and replace the document IDs in the get_documents sub-workflow. Activate the workflow so that publicly available chat will get generated on n8n.

AI Image Remix & Design Bot for Telegram with BrowserAct & Gemini This workflow transforms your Telegram bot into an intelligent creative assistant. It can chat conversationally, fetch trending image prompts from PromptHero for inspiration, or perform a deep "remix" of any photo you upload by analyzing its composition and regenerating it with high-fidelity prompt engineering. Target Audience Digital artists, designers, content creators, and hobbyists looking for AI-assisted inspiration and image generation. How it works Traffic Control: The workflow starts with a Telegram Trigger and immediately splits traffic: new messages go one way, while interactive button clicks (like "Regenerate") go another. Intent Classification: An AI Agent analyzes text inputs to decide if the user wants to "Chat" (small talk) or "Start" a creative session (fetch inspiration). Inspiration Mode: If "Start" is detected, BrowserAct scrapes trending prompts from PromptHero and saves them to a Google Sheet. Visual Forensics: If the user uploads an image, an AI Vision Agent (using OpenRouter/Gemini) analyzes it in extreme detail (lighting, composition, subjects) and saves the description. Master Prompt Engineering: Specialized AI Agents expand these inputs (either scraped prompts or image descriptions) into massive, detailed prompts using the "Rule of Multiplication." Production: Google Gemini generates the new image, which is sent back to Telegram with interactive buttons to "Regenerate" or move to the "Next" idea. ⚠️ Complex Workflow This workflow is complex. Please proceed using the tutorial video. How to set up Configure Credentials: Connect your Telegram, Google Sheets, BrowserAct, Google Gemini, and OpenRouter accounts in n8n. Prepare BrowserAct: Ensure the Image Remix & Design Bot template is saved in your BrowserAct account. Setup Google Sheet: Create a Google Sheet with four tabs: PromptHero, Current State, UserImage, and Current Image. Connect Sheet: Open all Google Sheets nodes in the workflow and paste your spreadsheet ID. Configure Telegram: Ensure your bot is created via BotFather and the API token is added to the Telegram credentials. Activate: Turn on the workflow. Requirements BrowserAct* account with the *Image Remix & Design Bot** template. Telegram** account (Bot Token). Google Sheets** account. Google Gemini** account. OpenRouter** account (or compatible LLM credentials). How to customize the workflow Change Art Style: Modify the system prompt in the Generate Image agents to enforce a specific style (e.g., "Cyberpunk," "Watercolor," or "Photorealistic"). Add More Sources: Update the BrowserAct template to scrape prompts from other sites like Civitai or Midjourney feed. Switch Image Model: Replace the Gemini image generation node with Stable Diffusion or DALL-E 3 if you prefer different aesthetics. Need Help? How to Find Your BrowserAct API Key & Workflow ID How to Connect n8n to BrowserAct How to Use & Customize BrowserAct Templates Workflow Guidance and Showcase Video How To create stateful n8n Workflows | AI Image Remix Bot with n8n & BrowserAct & Telegram 🎨

Turn your code commits into engaging social media content automatically. This workflow monitors a GitHub repository, uses AI to write a LinkedIn post about your changes, generates a beautiful "Mac-window" style image of your code, and publishes it all to LinkedIn. How it works GitHub Trigger: Watches for new push events in your selected repository. AI Analysis: Passes the code changes to an LLM (via LangChain) to write a professional LinkedIn post and select the best code snippet. Image Generation: Creates a custom HTML view of your code (with syntax highlighting and window controls) and converts it to an image using the HCTI API. Hosting & Posting: Uploads the generated image back to GitHub for hosting, then combines the text and image to publish a live post on LinkedIn. Set up steps Configure Credentials: You will need credentials for: GitHub (OAuth2 or Access Token) LinkedIn (OAuth2) OpenRouter (or swap the model node for OpenAI/Anthropic) HCTI.io (for the HTML-to-Image conversion) Update GitHub Nodes: In the Trigger node: Set your Owner and Repository. In the File Download node: Set the same Owner and Repository. In the Upload Image node: Set the target repo where you want images stored. Update LinkedIn Node: Add your LinkedIn Person URN in the Person field.

Who this is for Users who frequently receive images or documents via LINE or email Teams needing automatic OCR + AI summarization Anyone who wants hands-free document processing and structured storage How it works Triggers: LINE Webhook and Gmail IMAP Trigger capture incoming messages or emails. Source Tagging: Inputs are tagged as LINE or EMAIL for later branching. File Handling: Files are uploaded to Google Drive and converted for analysis. OCR: An AI vision model extracts all readable text from the document image. AI Summarization: A text model produces a concise summary. Logging: The summary is appended to Google Sheets for record-keeping. Email Drafting: A Gmail Draft is generated containing the OCR text and summary. How to set up Connect your LINE, Gmail, OpenAI, and Google Drive/Sheets credentials. Update folder IDs, sheet names, and authentication fields as needed. Optional: customize summarization instructions. Customization ideas Add translation or classification steps Modify output format for Slack/Notion Store files in date-based Drive folders

Automate your Instagram growth strategy by generating and posting viral Reels using AI and Creatomate. This workflow plans content topics based on trends, generates video assets, and handles the approval and posting process—all without manual video editing. How it works Schedule Trigger: Runs every day at 9:00 AM. Topic Planning: Checks past topics from Google Sheets to avoid duplicates, then uses OpenAI (GPT-4o) to generate a new quiz-style content plan. Video Generation: Uses Creatomate to generate a video based on a template, dynamically inserting the AI-generated text and images. Approval Loop: Sends the generated video to Slack for human review. Posting: Once approved in Slack, the workflow automatically uploads the Reel to Instagram. Logging: Saves the new topic to Google Sheets and notifies Slack upon successful publication. Setup steps Configure Credentials: OpenAI: For generating content plans. Creatomate: For video rendering. Google Sheets: For tracking past topics. Slack: For approval notifications. Facebook Graph API: For Instagram publishing. Google Sheets Setup: Create a Google Sheet with columns: Question, Answer, Title, Date. Update the Get Past Topics and Save New Topic nodes with your Sheet ID. Creatomate Setup: Create a template in Creatomate or use an existing one. Update the Generate Video node with your template_id in the JSON body. Slack Setup: Create a channel for approvals. Update the Slack Approval Request and Slack Notification nodes with your Channel ID. Activate: Turn on the workflow to start automating your content pipeline!

Automate video creation: AI generates ideas, Vertex AI renders videos, and auto-uploads to Google Drive with complete tracking. What You Get Gemini AI for creative prompts Vertex AI video generation Auto-upload to Google Drive Complete Google Sheets logging Smart retry logic Base64 to MP4 conversion Setup Enable Vertex AI in Google Cloud Get Gemini API key Run gcloud auth print-access-token for ACCESS TOKEN Import workflow & configure credentials Add prompts & test Flow Schedule → Gemini AI → Vertex AI → Wait → Convert → Upload → Log Resources Google Sheets Template ⚠️ Note: ACCESS TOKEN expires hourly - refresh using gcloud auth print-access-token 📧 LinkedIn: linkedin.com/in/yourprofile 🔗 More n8n Products: Click here

Automated Meeting Minutes from Video Recordings This workflow automatically transforms video recordings of meetings into structured, professional meeting minutes in Notion. It uses local AI models (Whisper for transcription and Ollama for summarization) to ensure privacy and cost efficiency, while uploading the original video to Google Drive for safekeeping. Ideal for creative teams, production reviews, or any scenario where visual context is as important as the spoken word. 🔄 How It Works Wait & Detect: The workflow monitors a local folder. When a new .mkv video file is added, it waits until the file has finished copying. Prepare Audio: The video is converted into a .wav audio file optimized for transcription (under 25 MB with high clarity). Transcribe Locally: The local Whisper model generates a timestamped text transcript. Generate Smart Minutes: The transcript is sent to a local Ollama LLM, which produces structured, summarized meeting notes. Store & Share: The original video is uploaded to Google Drive, a new page is created in Notion with the notes and a link to the video, and a completion notification is sent via Discord. ⏱️ Setup Steps Estimated Time**: 10–15 minutes (for technically experienced users). Prerequisites**: Install Python, FFmpeg, and required packages (openai-whisper, ffmpeg-python). Run Ollama locally with a compatible model (e.g., gpt-oss:20b, llama3, mistral). Configure n8n credentials for Google Drive, Notion, and Discord. Workflow Configuration**: Update the file paths for the helper scripts (wait-for-file.ps1, create_wav.py, transcribe_return.py) in the respective "Execute Command" nodes. Change the input folder path (G:\OBS\videos) in the "File" node to your own recording directory. Replace the Google Drive folder ID and Notion database/page ID in their respective nodes. > 💡 Note: Detailed instructions for each step, including error handling and variable setup, are documented in the Sticky Notes within the workflow itself. 📁 Helper Scripts Documentation wait-for-file.ps1 A PowerShell script that checks if a file is still being written to (i.e., locked by another process). It returns 0 if the file is free and 1 if it is still locked. Usage: .\wait-for-file.ps1 -FilePath "C:\path\to\your\file.mkv" create_wav.py A Python script that converts a video file into a .wav audio file. It automatically calculates the necessary audio bitrate to keep the output file under 25 MB—a common requirement for many transcription services. Usage: python create_wav.py "C:\path\to\your\file.mkv" transcribe_return.py A Python script that uses a local Whisper model to transcribe an audio file. It can auto-detect the language or use a language code specified in the filename (e.g., meeting.en.mkv for English, meeting.es.mkv for Spanish). The transcript is printed directly to stdout with timestamps, which is then captured by the n8n workflow. Usage: Auto-detect language python transcribe_return.py "C:\path\to\your\file.mkv" Force language via filename python transcribe_return.py "C:\path\to\your\file.es.mkv" `