AI Workflows
Artificial Intelligence tools and workflows
Summarize Google Sheets Form Feedback via OpenAI's GPT-4
This n8n workflow was developed to collect and summarize feedback from an event that was collected via a Google Form and saved in a Google Sheets document. The workflow is triggered manually by clicking on the **Test workflow** button. The Google Sheets node retrieves the responses from the feedback form. The Aggregate node then combines all responses for each question into arrays and prepares the data for analysis. The OpenAI node processes the aggregated feedback data. System Prompt instructs the model to analyze the responses and generate a summary report that includes the overall sentiment regarding the event and constructive suggestions for improvement. The Markdown node converts the summary report, which is in Markdown format, into HTML. Finally, the Gmail node sends an HTML-formatted email to the specified email address.
n8n$9.99Automatically Generate Bannerbear Images from Google Sheets Rows
This workflow automatically creates new images in Bannerbear whenever a new row is added to a specified Google Sheets spreadsheet. It streamlines the process of generating visual content based on spreadsheet data.
Make$2.99Receive and Process Harmoniq Transcriptions via Webhook
Automatically handle transcription results from Harmoniq using a webhook, enabling seamless data processing and storage.
MakeFreeAutomate Podcast Summarization and Enrichment with Wikipedia and Email Delivery
This workflow automates the summarization of podcast episodes, enriches them with Wikipedia information, and sends the enhanced digest via email.
n8n$14.99Create a new WordPress post from Google Sheets data using Perplexity AI-generated content
Generate and publish WordPress posts using AI from new Google Sheets data. Enhance content creation by integrating Google Sheets, Perplexity AI, and WordPress.
Make$4.99Generate Multispeaker Podcasts with AI Natural-Sounding Voices & Google Sheets
This workflow automates the generation of multi-speaker podcasts using AI-powered text-to-speech technology. It starts by retrieving a podcast script from a Google Sheets document, where each speaker's lines are clearly defined. The workflow then processes the script, generates a natural-sounding audio file with different voices for each speaker, and stores the final audio file in Google Drive. The workflow is designed to save time and resources by automating the podcast production process, making it ideal for content creators, marketers, and businesses that need to produce high-quality audio content regularly. ### **How It Works** 1. **Triggering the Workflow**: - The workflow starts with the **When clicking the 'Test workflow'** node, which can be triggered manually to begin the process. 2. **Data Retrieval**: - The **Get Podcast Text** node retrieves data from a Google Sheets document containing the podcast script. The document includes columns for the speaker's name and the corresponding text. 3. **Data Aggregation**: - The **Get All Rows** node aggregates the data from the Google Sheets document, combining the speaker names and their respective text into a single dataset. 4. **Text Formatting**: - The **Full Podcast Text** node processes the aggregated data, formatting it into a single string where each speaker's text is prefixed with their name. 5. **Audio Generation**: - The **Create Audio** node sends a request to the API to generate a multi-speaker podcast audio file. The request includes the formatted text and specifies the voices for each speaker. When you register for the API service, you will get $1 for free. For continuous work, add API credits to your account. 6. **Status Check**: - The **Get Status** node checks the status of the audio generation request. If the status is COMPLETED, the workflow proceeds; otherwise, it waits again. 7. **Audio Retrieval**: - The **Get URL Audio** node retrieves the URL of the generated audio file. - The **Get File Audio** node downloads the audio file from the provided URL. 8. **Audio Storage**: - The **Upload Audio** node uploads the generated audio file to a specified Google Drive folder for storage. --- ### **Key Features** - **Multi-Speaker Support**: Generates podcasts with different voices for each speaker, creating a more dynamic and engaging listening experience. - **Google Sheets Integration**: Retrieves podcast scripts from a Google Sheets document, making it easy to manage and update content. - **AI-Powered Text-to-Speech**: Uses advanced AI models to generate natural-sounding audio from text. - **Automated Audio Generation**: Streamlines the process of creating podcast audio files, reducing the need for manual recording and editing. - **Google Drive Storage**: Automatically uploads the generated audio files to Google Drive for easy access and sharing. This workflow is ideal for businesses and content creators looking to automate the production of multi-speaker podcasts. It leverages AI to handle the complex task of generating natural-sounding audio, allowing users to focus on creating compelling content.
n8n$9.99Translate Random Cocktail Instructions to French Using DeepL
This workflow fetches random cocktail instructions and translates them into French using DeepL, enhancing your cocktail recipe collection with multilingual support.
n8n$2.99Automate Google Sheets Row Filtering and Updates with ChatGPT Messaging
Streamline your data management by automatically filtering and updating Google Sheets rows using advanced messaging capabilities from ChatGPT.
Make$3.99Automate Meditation Content Creation with AI and Voiceover
Streamline the creation of meditation content by automating trend research, script generation, and voiceover production using AI tools.
n8n$14.99Automate Structured Data Extraction and Analysis with Bright Data and Google Gemini
This workflow automates the extraction and analysis of structured data from web sources using Bright Data and Google Gemini, ideal for researchers, marketers, and AI developers.
n8n$14.99IMAP Email Listener for Sales Order Processing
Automates the process of reading new emails from an IMAP mailbox and processing sales orders from attachments.
n8n$14.99Get Information of an Image
This n8n workflow, manually triggered via the Manual node, retrieves metadata from an image. It uses an HTTP request to fetch image details, such as dimensions or format, and works as a companion to the Edit Image node. Ideal for developers who need to extract image information before further processing.
n8n$3.99Automate Documentation Generation for n8n Workflows
Streamline the process of documenting your n8n workflows by automatically generating concise and comprehensive documentation from workflow JSON inputs.
n8n$4.99Automate Image Analysis and Google Sheets Updates
Automatically filter Google Sheets rows, analyze images using OpenAI's GPT-3, and update the spreadsheet with the results. Enhance data processing efficiency and gain valuable insights.
Make$3.99Filter Google Sheets Rows and Process Data with ChatGPT
Automatically filter rows in Google Sheets and utilize ChatGPT for data processing. This workflow streamlines data management by setting variables and sending data through HTTP requests.
Make$4.99Automate Messaging with ChatGPT via Custom Webhook
Streamline communication by sending advanced messages to ChatGPT using a custom webhook. Enhance automation with AI-driven message creation and responses.
Make$4.99Streamlined Customer Support Automation with AI
The Customer Support Automation workflow is designed to streamline the process of handling customer inquiries in the e-commerce and retail sector. By leveraging advanced AI models, this workflow provides quick and accurate responses to customer qu...
n8n$19.99Automate YouTube Transcript Processing and Indexing with Apify, OpenAI, and Pinecone
This workflow automates the process of fetching YouTube video transcripts, processing them into semantic chunks, and indexing them in a Pinecone vector database for efficient retrieval.
n8n$14.99Automate Venafi TLS Protect Cloud Operations with AI Integration
Seamlessly manage Venafi TLS Protect Cloud operations with AI-driven automation using n8n. This workflow provides a complete MCP server setup for handling certificates and requests without manual configuration.
n8n$9.99Automate Slack Status Updates with Pinecone, Google Sheets, and Azure OpenAI
Efficiently manage client onboarding by converting Slack messages into structured data using Azure OpenAI, Google Sheets, and Pinecone within n8n. This workflow is ideal for teams setting up new client workspaces and preparing project data, ensuring organized data management and future AI retrieval capabilities.
n8n$24.99Integrate Perplexity Sonar Models for Dynamic AI Responses
This reusable n8n workflow enables seamless interaction with Perplexity's AI models, 'sonar' and 'sonar-pro', allowing dynamic prompt inputs for generating AI responses.
n8n$4.99Automate Content Summarization with OpenAI and Google Sheets
Streamline your workflow by automating content summarization using OpenAI's GPT models and Google Sheets. This workflow extracts data from Google Sheets, aggregates it, and generates concise summaries with actionable insights.
Make$3.99Automate Image Compression with Nero AI and Webhooks
This workflow automates the process of compressing images using Nero AI, triggered by webhooks, to reduce file size while maintaining quality.
Make$4.99Recipe Recommendation Engine with Bright Data MCP & OpenAI GPT-4 Mini
### Notice Community nodes can only be installed on self-hosted instances of n8n. ### Who this is for Recipe Recommendation Engine with Bright Data MCP & OpenAI is a powerful automated workflow that combines Bright Data's MCP for scraping trending or regional recipe data with OpenAI GPT-4 mini to generate personalized recipe recommendations. This automated workflow is designed for: **Food Bloggers & Culinary Creators**: Who want to automate the extraction and curation of recipes from across the web to generate content, compile cookbooks, or publish newsletters. **Nutritionists & Health Coaches**: Who need structured recipe data to analyze ingredients, calories, and nutrition for personalized meal planning or dietary tracking. **AI/ML Engineers & Data Scientists**: Building models that classify cuisines, predict recipes from ingredients, or generate dynamic meal suggestions using clean, structured datasets. **Grocery & Meal Kit Platforms**: Who aim to extract recipes to power recommendation engines, ingredient lists, or personalized meal plans. **Recipe Aggregator Startups**: Looking to scale recipe data collection, filtering, and standardization across diverse cooking websites with minimal human intervention. **Developers Integrating Cooking Features**: Into apps or digital assistants that offer recipe recommendations, step-by-step cooking instructions, or nutritional insights. ### What problem is this workflow solving? This workflow solves: - Automated recipe data extraction from any public URL - AI-driven structured data extraction - Scalable looped crawling and processing - Real-time notifications and data persistence ### What this workflow does **1. Set Recipe Extract URL** - Configure the recipe website URL in the input node - Set your Bright Data zone name and authentication **2. Paginated Data Extract** - Triggers a paginated extraction across multiple pages (recipe listing, index, or search pages) - Returns a list of recipe links for processing **3. Loop Over Items** - Loops through the array of recipe links - Each link is passed individually to the scraping engine **4. Bright Data MCP Client (Per Recipe)** - Scrapes each individual recipe page using scrape_as_html - Smartly bypasses common anti-bot protections via Bright Data Web Unlocker **5. Structured Recipe Data Extract (via OpenAI GPT-4 mini)** - Converts raw HTML to clean text using an LLM preprocessing node - Uses OpenAI GPT-4 mini to extract structured data **6. Webhook Notification** - Pushes the structured recipe data to your configured webhook endpoint - Format: JSON payload, ideal for Slack, internal APIs, or dashboards **7. Save Response to Disk** - Saves the structured recipe JSON information to the local file system ### Pre-conditions 1. You need to have a [Bright Data](https://brightdata.com/) account and do the necessary setup as mentioned in the Setup section below. 2. You need to have an OpenAI Account. ### Setup - Sign up at [Bright Data](https://brightdata.com/). - Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions. - In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication).  The Value field should be set with the **Bearer XXXXXXXXXXXXXX**. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker token. - In n8n, configure the OpenAI account credentials. - Make sure to set the fields as part of **Set the Recipe Extract URL**. Remember to set the webhook_url to send a webhook notification of recipe response. - Set the desired local path in the **Write the structured content to disk** node to save the recipe response. ### How to customize this workflow to your needs You can tailor the Recipe Recommendation Engine workflow to better fit your specific use case by modifying the following key components: **1. Input Fields Node** - Update the Recipe URL to target specific cuisine sites or recipe types (e.g., vegan, keto, regional dishes). **2. LLM Configuration** - Swap out the OpenAI GPT-4 mini model with another provider (like Google Gemini) if you prefer. - Modify the structured data prompt to extract custom fields that you wish. **3. Webhook Notification** - Configure the Webhook Notification node to point to your preferred integration (e.g., Slack, Discord, internal APIs). **4. Storage Destination** Change the **Save to Disk** node to store the structured recipe data in: - A cloud bucket (S3, GCS, Azure Blob, etc.) - A database (MongoDB, PostgreSQL, Firestore) - Google Sheets or Airtable for spreadsheet-style access.
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