AI Automation Workflows — Page 16 | Neura Market
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    • Automate Restaurant Customer Interactions via WhatsApp, Instagram, and Messenger

      Streamline your restaurant's customer service by automating interactions across WhatsApp, Instagram, and Messenger. This workflow sends menus, checks delivery areas, creates payment links, and notifies the kitchen, all while storing data securely.

      n8nFree

    • Extract Contacts from Business Cards to Google Sheets with GP4O

      # Auto Extract Contacts from Business Cards to Sheet With GP4o [![Watch the video](https://s3.ap-southeast-1.amazonaws.com/automatewith.me/n8n-free-workflow-to-auto-generate-leads-from-name-cards.jpg)](https://www.youtube.com/watch?v=2EWgC5UKiBQ) > This smart workflow extracts names, phone numbers, emails, and more from uploaded name card photos using AI, then logs them neatly into your Google Sheet. No typing. No mess. Just upload and go. ## Who's it for - Sales & Business Development Teams - Recruiters & Talent Acquisition Specialists - Event Teams collecting business cards - Admins who manage contact databases manually ## How it works / What it does This workflow automates the extraction of contact details from uploaded name card (business card) images and stores them in a structured Google Sheet for easy tracking and follow-up. ### Workflow Steps: 1. User uploads one or more name card images through a web form. 2. The uploaded files are saved to a Google Drive folder for archiving. 3. A smart AI agent (with OCR and GP capabilities) scans each image and extracts relevant contact data into structured JSON format. 4. Data is transformed, cleaned (e.g., removing `+` from phone numbers), and filtered. 5. Valid contacts are appended to a Google Sheet for central tracking and future use. ## How to set up 1. **Create a Form** - Allow file upload (JPG/PNG format). - Label it as “Name Card Uploader” with a clear description. 2. **Upload to Google Drive** - Use the Google Drive node to store uploaded images. 3. **Configure Smart Agent** - Use GP-4o or similar model with OCR capability. - Apply a structured output parser to extract contact fields like name, phone, email, company, etc. 4. **Transform Data** - Use the Code node to clean and structure contact info. - Strip out unwanted characters from phone numbers (e.g., `+`). 5. **Filter Invalid Records** - Remove entries with no meaningful contact data. 6. **Append to Google Sheets** - Use the Google Sheets node with Append Sheet Row. - Map fields to columns like Name, Phone, Email, etc. ## Requirements - n8n workflow environment - Google Drive integration (for file storage) - Google Sheets integration (for storing contacts) - GP-4o or any image-capable LLM - Clear name card images (PNG/JPG, readable text) - (Optional) Slack/email integration for notifications ## How to customize the workflow - **CRM Sync**: Connect to platforms like HubSpot, Salesforce, or Zoho. - **Validation Logic**: Ensure records contain key fields like name or email before writing. - **Uploader Info**: Attach submitter metadata to each contact record. - **Language Adaptation**: Adjust extracted field labels/output to target your preferred language. - **Batch Upload**: Handle multiple cards in a single image or multiple uploads in one go.

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  1. Transform Telegram Images into AI-Enhanced Masterpieces

    Automatically convert ordinary images sent via Telegram into stunning AI-enhanced photos and videos using OpenAI and Replicate.

    n8nFree

  2. Auto-Generate Meeting Minutes with GPT and Share from Google Drive to Slack

    ### Who's it for Teams who want to **automatically generate structured meeting minutes** from uploaded transcripts and instantly share them in Slack. Perfect for startups, project teams, or any company that collects meeting transcripts in Google Drive. --- ### How it works / What it does This workflow automatically turns raw meeting transcripts into well-structured minutes in Markdown and posts them to Slack: 1. **Google Drive Trigger** - Watches a specific folder. Any new transcript file added will start the workflow. 2. **Download File** - Grabs the transcript. 3. **Prep Transcript** - Converts the file into plain text and passes the transcript downstream. 4. **Message a Model** - Sends the transcript to OpenAI GPT for summarization using a structured system prompt (action items, decisions, N/A placeholders). 5. **Make Minutes** - Formats GPT's response into a Markdown file. 6. **Slack: Send a message** - Posts a Slack message announcing the auto-generated minutes. 7. **Slack: Upload a file** - Uploads the full Markdown minutes file into the chosen Slack channel. End result: your Slack channel always has clear, standardized minutes right after a meeting. --- ### How to set up 1. **Google Drive** - Create a folder where you'll drop transcript files. - Configure the folder ID in the Google Drive Trigger node. 2. **OpenAI** - Add your OpenAI API credentials in the *Message a Model* node. - Select a supported GPT model (e.g., `gpt-4o-mini` or `gpt-4`). 3. **Slack** - Connect your Slack account and set the target channel ID in the Slack nodes. 4. **Run the workflow** and drop a transcript file into Drive. Minutes will appear in Slack automatically. --- ### Requirements - Google Drive account (for transcript upload) - OpenAI API key (for text summarization) - Slack workspace (for message posting and file upload) --- ### How to customize the workflow - **Change summary structure**: Adjust the system prompt inside *Message a Model* (e.g., shorter summaries, language other than English). - **Different output format**: Modify *Make Minutes* to output plain text, PDF, or HTML instead of Markdown. - **New destinations**: Add more nodes to send minutes to email, Notion, or Confluence in parallel. - **Multiple triggers**: Replace Google Drive trigger with Webhook if you want to integrate with Zoom or MS Teams transcript exports. --- ### Good to know - OpenAI API calls are billed separately. See [OpenAI pricing](https://openai.com/pricing). - Files must be text-based (.txt or .md). For PDFs or docs, add a conversion step before summarization. - Slack requires the bot user to be a member of the target channel, otherwise you'll see a `not_in_channel` error.

    n8nFree

  3. Implement Long-Term Memory for AI Chatbots Using Qdrant and OpenAI

    Enhance your AI chatbots with persistent memory capabilities using Qdrant vector databases and OpenAI models. This workflow allows chatbots to remember past interactions, user preferences, and context across sessions, improving user experience and personalization.

    n8nFree

  4. Transform Newsletters into AI-Generated Podcasts with OpenAI and ElevenLabs

    Convert unread newsletters into engaging audio podcasts using AI. This workflow fetches newsletters, summarizes them into dialogues, and generates audio using ElevenLabs, delivering a podcast-like experience.

    n8nFree

  5. Chat with a Database Using AI

    This workflow allows you to ask questions about data stored in a database using AI. To use it, you'll need an OpenAI API key (although you could also swap in a model from another service). Supported databases: - Postgres - MySQL - SQLite The workflow uses n8n's embedded chat, but you could also modify it to work with a chat service such as Slack, MS Teams, or WhatsApp. Note that to use this template, you need to be on n8n version 1.19.4 or later.

    n8nFree

  6. AI-Powered Social Media Content Generator with Strategic Approach Using GPT-4 Models

    This workflow contains community nodes that are only compatible with the self-hosted version of n8n. ## How it works? The Content Strategy AI Pipeline is an intelligent, multi-stage content creation system that transforms simple user prompts into polished, ready-to-publish content. The system intelligently extracts platform requirements, audience insights, and brand tone from user requests, then develops strategic reasoning and emotional connection strategies before crafting compelling content outlines and final publication-ready posts or articles. Supporting both social media platforms (Instagram, LinkedIn, X, Facebook, TikTok) and blog content. **Key Differentiators**: Strategic thinking approach, emotional intelligence integration, platform-native optimization, zero-editing-required output, and professional content strategist-level quality through multi-model AI orchestration. ## Technical Points - Multi-model AI orchestration for specialized tasks - Emotional psychology integration for audience connection - Platform algorithm optimization built-in - Industry-standard content strategy methodology automated - Enterprise-grade reliability with session management and memory - API-ready architecture for integration into existing workflows ## Test Inputs ``` Sample Request: Create an Instagram post for a fitness coach targeting busy moms, tone should be motivational and relatable Expected Flow: Platform: Instagram → Niche: Fitness → Audience: Busy Moms → Tone: Motivational → Output: 125-150 word post with hashtags ```

    n8nFree

  7. Write a WordPress Post with AI (Starting from a Few Keywords)

    This n8n workflow template allows you to write WordPress posts by just providing a few keywords. It uses AI technology to write the text and to create the post's featured image. The text includes an introduction, chapters, and conclusions. Each chapter is written independently and this allows you to create also very long articles. The workflow uses technologies provided by Open AI: Chat GPT for the text and Dall-E for the image. I suggest reviewing the created posts before publishing them on your WordPress website. The article generation might take some minutes as each chapter is created independently. ### Features - **Easy to use:** Easy web interface to start the generation of the WordPress post - **AI-powered:** Text and image generation is done by artificial intelligence - **Long-text ready:** Possibility to create very long articles - **Configurable:** Possibility to provide as many keywords as you want, to choose the number of chapters and the length of the article - **Plugs into your WordPress:** Easily integrates with your WordPress website - **Tweak it as you want:** Fine-tune the Open AI prompts and the workflow as you want ### Workflow Steps - **User form:** An n8n form is used to trigger the post creation - **Settings:** This node is used to set your WordPress URL (which is used later in the workflow) - **Article structure:** First AI action that writes the introduction, the conclusions, and the chapter structure. - **Data check:** Check that the data provided by the AI is valid - **Chapters split/Chapters text:** Splits the data for each chapter in a separate item and generates each chapter's text with AI - **Content preparation:** Prepares the text for posting, merging the introduction, the chapters, and the conclusions. Adds some basic HTML formatting - **Draft on WordPress:** Creates the draft post on WordPress - **Featured image:** Creates a featured image and adds it to the post on WordPress - **User feedback:** Sends feedback to the user on the n8n form ### Getting Started To deploy and use this template: 1. Import the workflow into your n8n workspace 2. Set your WordPress URL in the `wordpress_url` field in the Settings node. Include the slash (`/`) at the end of the URL 3. Set up your Open AI n8n credentials by following [this guide](https://docs.n8n.io/integrations/builtin/credentials/openai/). The Open AI credentials are used by the Open AI nodes (Create post title and structure, Create chapters text, and Generate featured image) 4. Set up your WordPress n8n credentials by following [this guide](https://docs.n8n.io/integrations/builtin/credentials/wordpress/). The WordPress credentials are used by the WordPress and HTTP Request nodes (Post on WordPress, Upload media, and Set image ID for the post). Pay attention that the Password in the WordPress credentials is not the user's password but the Application Password ### How to use the workflow to create a WordPress post 1. Activate the workflow 2. Open the Form node and copy the Production URL. This is the public URL of the form to AI-write the post 3. Open the URL in a browser and fill in the form 4. Wait a few minutes till you get the feedback in the form that the post was created 5. Go to WordPress and check the newly created draft post. Review and publish your post!

    n8nFree

  8. Google Maps Lead Scraper & Enrichment with AI-Powered Personalized Outreach

    ## Quick Setup - Import this workflow into your n8n instance. - Add your Apify, Google Sheets, and Firecrawl credentials. - Activate the workflow to start your automated lead enrichment system. - Copy the webhook URL from the MCP trigger node. - Connect AI agents using the MCP URL. ## How it Works This solution combines two powerful workflows to deliver fully enriched, AI-ready business leads from Google Maps: - Apify Google Maps Scraper Node: Collects business data and, if enabled, enriches each lead with contact details and social profiles. - Leads Missing Enrichment: Any leads without contact or social info are automatically saved to a Google Sheet. - Firecrawl & Code Node Workflow: A second workflow monitors the Google Sheet, crawls each business's website using Firecrawl, and extracts additional social media profiles or contact info using a Code node. - Personalization Logic: AI-powered nodes generate tailored outreach content for each enriched lead. - Native Integration: The entire process is exposed as an MCP-compatible interface, returning enriched and personalized lead data directly to the AI agent. ## Available Operations - Business Search: Find businesses on Google Maps by location, category, or keyword. - Lead Enrichment: Automatically append contact details, social profiles, and other business info using Apify and Firecrawl. - Personalized Outreach Generation: Create custom messages or emails for each lead. - Batch Processing: Handle multiple leads in a single request. - Status & Error Reporting: Get real-time feedback on processing, enrichment, and crawling. ## AI Integration - Parameter Handling: AI agents automatically provide values for: - Search queries (location, keywords, categories) - Enrichment options (contact, social, etc.) - Personalization variables (name, business type, etc.) - Response Format: Returns fully enriched lead data and personalized outreach content in a structured format.

    n8nFree

  9. Automate Telegram Chat Responses Using Google Gemini

    # Automate Telegram Chat Responses Using Google Gemini **By [WeblineIndia](https://n8n.io/creators/weblineindia/)** --- ## TL;DR (Quick Steps) 1. **Create a Telegram bot** using [@BotFather](https://t.me/BotFather) and copy the API token. 2. **Obtain Google Gemini API Key** via Google Cloud. 3. **Set up the n8n workflow**: - Trigger: Telegram message received. - AI Model: Google Gemini generates response. - Output: AI reply sent back to user via Telegram. 4. **Customize the system prompt**, model, or message handling to suit your use case. --- ## Description This n8n workflow enables seamless automation of real-time chat replies in **Telegram** by integrating with **Google Gemini's Chat Model**. Every time a user sends a message to your Telegram bot, the workflow routes it through the Gemini AI, which analyzes and crafts a professional response. This reply is then automatically delivered back to the user. The setup acts as a lightweight but powerful chatbot system - ideal for businesses, customer service, or even personal productivity bots. You can easily modify its tone, intelligence level, or logging mechanisms to cater to specific domains such as sales, tech support, or general Q&A. --- ## Purpose of the Workflow The primary goal of this workflow is to **automate intelligent, context-aware chat responses in Telegram** using a robust AI model. It eliminates manual reply handling, enhances user engagement, and ensures 24/7 interaction capabilities - all through a no-code or low-code setup using n8n. --- ## Steps to Configure and Use ### Pre-Conditions / Requirements - **Telegram Bot Token**: Get it from [@BotFather](https://t.me/BotFather). - **Google Gemini API Key**: Available via Google Cloud PaLM/Gemini API access. - **n8n Instance**: Hosted or local instance with required nodes installed (`Telegram`, `Basic LLM Chain`, and `Google Gemini` support). --- ### Setup Instructions #### Step 1: Telegram Trigger - Listen for Incoming Messages - Add **Telegram Trigger** node. - Select **Trigger On: Message**. - Authenticate using your **Telegram Bot Token**. - This will capture incoming messages from any user interacting with your bot. #### Step 2: Google Gemini AI - Generate a Smart Reply - Add the **Basic LLM Chain** node. - Connect the input message (`{{$json.message.text}}`) from the Telegram Trigger. - System Prompt: > You are an AI assistant. Reply to the following user message professionally: - Choose **Google Gemini Chat Model** (`models/gemini-1.5-pro`). - Connect this node to receive the text input and pass it to Gemini for processing. #### Step 3: Telegram Reply - Send the AI Response - Add a **Telegram** node (Operation: Send Message). - Set **Chat ID** dynamically from the Telegram Trigger node. - Input the generated message from the Gemini output. - Enable **Parse Mode** as `HTML` for rich formatting. #### Final Step: Link All Nodes - `Receive Telegram Message` → `Generate AI Response` → `Send Telegram Reply`. > Tip: Test the workflow by sending a message to your Telegram bot and ensure you receive an AI-generated reply. --- ## Customization Guidance - **Modify the AI tone** by updating the system prompt. - **Use other AI models** (e.g., OpenAI GPT-4). - **Add filters** to respond differently based on specific keywords. - **Extend the workflow** to store chats in Google Sheets, Airtable, or databases for audit or analytics. - **Multi-language support**: Add translation layers before and after AI processing. --- ## Troubleshooting Guide - **No message received?** Check if your Telegram bot is active and webhook is working. - **AI not responding?** Validate your Google Gemini API key and usage quota. - **Wrong replies?** Refine the system prompt or validate message routing. - **Formatting issues?** Ensure Parse Mode is correctly set to `HTML`. --- ## Use Case Examples - **Customer Service Chatbot** for product queries. - **Educational Bots** for answering user questions on a topic. - **Mental Health Companion** that gives supportive replies. - **Event-based Announcers** or automatic responders during off-hours. > And many more! This workflow can be easily extended to support advanced use cases with just a few additional nodes. --- ## About the Creator This workflow is developed by **WeblineIndia**, a trusted provider of AI development services and process automation solutions. If you're looking to build or customize intelligent workflows like this, we invite you to [get in touch with our team](https://www.weblineindia.com/contact-us.html). We also offer specialized [Python development](https://www.weblineindia.com/python-development.html) and [AI developer hiring services](https://www.weblineindia.com/hire-ai-developers.html) to supercharge your automation needs.

    n8nFree

  10. Automate Social Media Content Creation and Posting with Google Sheets and GPT-4

    Streamline your social media strategy by automating content generation and posting using Google Sheets and OpenAI's GPT-4, ensuring consistent and engaging posts across platforms.

    n8nFree

  11. Create an AI Chatbot with Document-Based RAG and Cohere Reranking

    Develop an intelligent AI chatbot that uses Retrieval-Augmented Generation and Cohere's reranking to provide accurate responses based on your documents.

    n8nFree

  12. Compare PDF Data Extraction Using Claude and Gemini

    Efficiently extract and compare data from PDFs using Claude 3.5 Sonnet and Gemini 2.0 Flash in a single workflow. This setup allows you to evaluate performance, latency, and cost across both services.

    n8nFree

  13. Automate Real-Time Research and Fact-Checking with AI and SerpAPI

    Leverage AI and SerpAPI to automate live information gathering, fact-checking, and trend analysis in response to chat messages, providing instant, accurate data.

    n8nFree

  14. Automate YouTube Video Analysis with Google Gemini AI for Summaries and Transcripts

    This workflow automates the extraction of summaries, transcripts, and metadata from YouTube videos using Google Gemini AI, saving time and ensuring accuracy for content creators and marketers.

    n8nFree

  15. Automate SEO Blog Creation with GPT-4o, Perplexity, and Telegram

    This workflow automates the generation of SEO-optimized blog posts using Perplexity.ai for topic research, OpenAI GPT-4o for content creation, and Telegram for optional interaction.

    n8nFree

  16. Automate Text-to-Video and Image-to-Video Creation with Seedance 1 Lite AI

    This n8n workflow leverages the Replicate API to automate the creation of videos from text or images using the Bytedance Seedance 1 Lite model. Generate high-quality videos with ease and efficiency.

    n8nFree

  17. Automate Research Paper Summaries with GPT-4 and PDF Vector

    This workflow automates the creation of various research paper summaries using GPT-4 and PDF Vector, making complex academic content accessible to diverse audiences.

    n8nFree

  18. Automate Telegram Chatbot Responses with OpenAI

    This workflow automates responses to Telegram messages using OpenAI, generating text replies or images based on user commands.

    n8nFree

  19. Automate Blog Creation and Publishing with AI and WordPress

    Streamline your blog content generation and publishing process by leveraging AI to create and post articles directly to WordPress.

    n8nFree

  20. Generate and Store AI Images with Sora GP, Google Drive, and Sheets

    # **Automation Flow: Image to Image Using GP Sora** This flow automates the process of generating images using a provided prompt and reference image via the **Sora GP Image API** from [RapidAPI](https://rapidapi.com/skdeveloper/api/sora-gpt-image). The generated images are stored in **Google Drive**, and details are logged in **Google Sheets**. ## **Nodes Overview** ### 1. **On Form Submission** - **Type**: `n8n-nodes-base.formTrigger` - **Description**: This node triggers when a user submits the form containing the prompt and image URL. It ensures the form fields are filled in and ready for processing. - **Form Fields**: - **Prompt**: A text description of the desired image. - **Image URL**: The URL of the reference image to be used. - **Webhook ID**: Unique identifier for form submission. --- ### 2. **HTTP Request to Sora GP Image API** - **Type**: `n8n-nodes-base.httpRequest` - **Description**: Sends the prompt and image URL to the **Sora GP Image API** to generate a new image based on the provided inputs. - **API Endpoint**: [Sora GP Image API](https://sora-gpt-image.p.rapidapi.com/ai-img/img-to-img.php) (via **RapidAPI**) - **Method**: `POST` - **Body Parameters**: - **Prompt**: User-provided text. - **Image URL**: The reference image URL. - **Width & Height**: Image size is set to `1024x1024`. --- ### 3. **Code (Base64 Conversion)** - **Type**: `n8n-nodes-base.code` - **Description**: This node processes the base64-encoded image data returned from the API. It decodes and formats the image to be uploaded to Google Drive. - **Output**: Converts the base64 string into a binary JPEG file. --- ### 4. **Upload Image to Google Drive** - **Type**: `n8n-nodes-base.googleDrive` - **Description**: Uploads the generated image to **Google Drive**, storing it in a designated folder. - **Authentication**: Google Service Account. - **File Name**: The image file name is dynamically set from the previous node. --- ### 5. **Log Details to Google Sheets** - **Type**: `n8n-nodes-base.googleSheets` - **Description**: This node logs the **Prompt**, **Generated Image**, and **Generation Date** into a **Google Sheets** document for tracking and auditing purposes. - **Columns Mapped**: - **Prompt**: The user's input text. - **Image**: The name of the generated image file. - **Generated Date**: Date and time of image generation. --- ## **Flow Summary** 1. **User Submits Form**: Triggered when the form with the prompt and image URL is submitted. 2. **Image Generation**: The data is sent to the **Sora GP Image API** from [RapidAPI](https://rapidapi.com/skdeveloper/api/sora-gpt-image) to generate the image. 3. **Image Processing**: The generated image (base64 format) is decoded and saved as a file. 4. **Google Drive Upload**: The image is uploaded to **Google Drive** for storage. 5. **Google Sheets Logging**: All relevant details (Prompt, Image, Date) are saved in **Google Sheets**. --- ## **Benefits** - **Automated Image Creation**: Quickly generate images using AI based on a simple prompt and reference image via **RapidAPI**. - **Efficient Workflow**: The entire process from form submission to image generation and storage is automated, saving time and reducing manual work. - **Centralized Storage**: Generated images are stored in **Google Drive**, ensuring easy access and organization. - **Audit Trail**: The details of each generated image are logged in **Google Sheets**, making it easy to track, review, and manage past creations. - **Scalable and Reusable**: Can be adapted to multiple use cases, such as creative design, marketing materials, or social media content generation. --- ## **Problems Solved** - **Manual Image Editing**: Eliminates the need for manual image manipulation and creation, allowing for automatic generation based on user inputs. - **Disorganized File Storage**: With automatic uploads to **Google Drive**, the images are stored in a centralized and organized manner. - **Lack of Record-Keeping**: By logging image generation details in **Google Sheets**, there's always a record of past creations, improving tracking and management. - **Time-Consuming Processes**: The automation drastically reduces the time spent on manual tasks, allowing users to focus on other aspects of their work or creative processes. --- This flow simplifies the process of creating AI-generated images based on user inputs, leveraging the power of the **Sora GP Image API** via [RapidAPI](https://rapidapi.com/skdeveloper/api/sora-gpt-image), making it a powerful tool for creative, design, and marketing purposes.

    n8nFree

  21. Process Documents with Recursive Chunking Using Google Drive, OpenAI & Gemini RAG

    **1. Document Ingestion & Processing** Google Drive trigger monitors for new files → Loop Over Items processes each file → File Info extracts metadata → Google Drive downloads the actual content → Switch routes to appropriate extractors (PDF or EX) based on file type **2. Content Transformation & Chunking** Document Data node processes extracted text → Recursive Splitter breaks content into contextual chunks → Chunk Splitting applies intelligent segmentation while preserving document context and relationships between chunks **3. Embedding & Storage** Basic LLM Chain processes chunks → OpenAI Chat Model generates contextual understanding → Summarize creates document summaries → Supabase Vector Store saves embeddings with metadata → Embeddings OpenAI creates vector representations → Default Data Loader handles storage operations **4. Query Processing & Retrieval** When Clicking Execute triggers user queries → OpenAI processes and understands the question → AI Agent orchestrates hybrid search (combining vector similarity + keyword matching) → Google Gemini Chat Model generates final responses using retrieved context → HP Request handles additional external data sources

    n8nFree

  22. Automate AI News Scraping to Markdown and Google Drive

    This n8n workflow automates the collection of AI news from multiple RSS feeds, scrapes the full content, and saves it as Markdown files in Google Drive. Ideal for content curation, blog research, and news archiving.

    n8nFree
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