AI Workflows
Artificial Intelligence tools and workflows
Automate SRT Subtitle Translation with Google Translate
This workflow automates the translation of SRT subtitle files from one language to another using Google Translate, streamlining the process for content creators and translators.
n8n$9.99Automate Professional COE Blog Creation and Publishing with AI and Google Drive
This n8n workflow automates the creation of professional Center of Excellence (COE) blog posts from chat topics using AI, and publishes them directly to Google Drive.
n8n$9.99Automate Image Conversion from JPG/PNG to WebP with APYHub and Google Drive
Streamline your image conversion process by automatically converting JPG/PNG images to WebP using APYHub, and seamlessly storing them in Google Drive. This workflow saves time and optimizes image storage for better web performance.
n8n$9.99Automate AI Image Generation with IBM Granite Vision 3.3 2B via Replicate
Streamline your image generation process by integrating IBM Granite Vision 3.3 2B with Replicate API in n8n. This workflow automates API authentication, parameter setup, and image creation, enhancing efficiency and reliability.
n8n$9.99Aggregate Tesla Trading Signals Across Multiple Timeframes with AI
This workflow consolidates Tesla (TSLA) trading signals from multiple timeframes using real-time technical indicators and candlestick patterns. It is a key component of the Tesla Quant Trading AI system, powered by GPT-4.1, to generate a unified JSON signal for downstream processing.
n8n$14.99Automate Web Content Extraction with Anti-Bot Fallback in n8n
Efficiently extract clean and structured text from webpages, with an automatic fallback to Scrape.do for anti-bot protected sites. Ideal for AI tools and content workflows.
n8n$9.99Automate Cloudflare Certificate Management with AI Integration
Deploy a fully functional MCP server to manage Cloudflare certificates with AI-driven automation. This workflow requires no configuration and supports all certificate operations.
n8n$4.99Transform YouTube Playlists into Interactive Chatbot Knowledge Bases
This n8n workflow converts YouTube playlists or individual videos into interactive knowledge bases, allowing users to chat with the content and receive summaries and insights without watching the videos.
n8n$24.99Automate WordPress Blog Creation from Google Sheets with ChatGPT Enhancements
Streamline your content creation process by automatically generating WordPress blog posts using data from Google Sheets, enhanced with ChatGPT completions.
Make$4.99Automate Telegram to Notion with AI-Powered Summaries
Streamline your workflow by automatically saving Telegram messages, voice notes, and audio files to Notion, complete with AI-generated summaries for quick insights.
n8n$14.99Deploy a Complete Strapi MCP Server for AI Integration
Set up a fully operational Strapi MCP server to handle AI agent requests with zero configuration. This workflow includes all essential Strapi operations, making it AI-ready and easy to integrate.
n8n$4.99Automate Image Captioning with Google Gemini and n8n
This workflow automates the process of generating and overlaying captions on images using Google Gemini's multimodal capabilities within n8n. Ideal for streamlining tasks that require image analysis and captioning.
n8n$14.99Automate File Summarization with OpenAI Assistants
Upload various document types to automatically generate concise summaries using OpenAI's Assistant API.
n8n$4.99Create Portrait Series from Single Images Using Flux Kontext Portrait Series and Replicate
This workflow provides automated access to the Flux Kontext Apps Portrait Series AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. ## Overview This workflow automatically handles the complete image generation process using the Flux Kontext Apps Portrait Series model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. **Model Description**: Create a series of portrait photos from a single image ## Key Capabilities - **High-quality image generation from text prompts** - **Advanced AI-powered visual content creation** - **Customizable image parameters and styles** ## Tools Used - **n8n**: The automation platform that orchestrates the workflow - **Replicate API**: Access to the Flux Kontext Apps/portrait-series AI model - **Flux Kontext Apps Portrait Series**: The core AI model for image generation - **Built-in Error Handling**: Automatic retry logic and comprehensive error management ## How to Install 1. **Import the Workflow**: Download the .json file and import it into your n8n instance. 2. **Configure Replicate API**: Add your Replicate API token to the Set API Token node. 3. **Customize Parameters**: Adjust the model parameters in the Set Image Parameters node. 4. **Test the Workflow**: Run the workflow with your desired inputs. 5. **Integrate**: Connect this workflow to your existing automation pipelines. ## Use Cases - **Content Creation**: Generate unique images for blogs, social media, and marketing materials. - **Design Prototyping**: Create visual concepts and mockups for design projects. - **Art & Creativity**: Produce artistic images for personal or commercial use. - **Marketing Materials**: Generate eye-catching visuals for campaigns and advertisements. ## Connect with Me - **Website**: https://www.nofluff.online - **YouTube**: https://www.youtube.com/@YaronBeen/videos - **LinkedIn**: https://www.linkedin.com/in/yaronbeen/ - **Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #imagegeneration #aiart #texttoimage #visualcontent #aiimages #generativeart #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation
n8n$9.99Generate & Test SQL Code with GP/OpenRouter AI and PostgreSQL Sandbox
This is the core AI agent used for [isra36.com](https://isra36.com). Don't trust complex AI-generated SQL queries without double-checking them in a safe environment. That's where isra36 comes in. It automatically creates a test environment with the necessary data, generates code for your task, runs it to double-check for correctness, and handles errors if necessary. If you enable auto-fixing, isra36 will detect and fix issues on its own. If not, it will ask for your permission before making changes during debugging. In the end, you get thoroughly verified code along with full details about the environment it ran in. ## Setup It is an embedded chat for the website, but you can pin input data and run it on your own n8n instance. ### Input data 1. `sessionId`: uuid_v4. **Required** to handle ongoing conversations and to create table names (used as a prefix). 2. `threadId`: string | nullable. If `aiProvider` is **openai**, conversation history is managed on OpenAI's side. This is not needed in the first request—it will start a new conversation. For ongoing conversations, you must provide this value. You can get it from the `OpenAIMainBrain` node output after the first run. If you want to start a new conversation, just leave it as `null`. 3. `apiKey`: string. Your API key for the selected `aiProvider`. 4. `aiProvider`: string. Currently supported values: **openai**, **openrouter**. 5. `model`: string. The AI model key (e.g., `gpt-4.1`, `o3-mini`, or any supported model key from OpenRouter). 6. `autoErrorFixing`: boolean. If `true`, it will automatically fix errors encountered when running code in the environment. If `false`, it will ask for your permission before attempting a fix. 7. `chatInput`: string. The user's prompt or message. 8. `currentDbSchemaWithData`: string. A JSON representation of the database schema with sample data. Used to inform the AI about the current database structure during an ongoing conversation. Please use the `[]` value in the first request. Example string for filled db structure: `{users:[{id:1,name:John Doe,email:john.d@example.com},{id:2,name:Jane Smith,email:jane.s@example.com}],products:[{product_id:101,product_name:Laptop,price:999.99}]}` Make sure to fill in your credentials: 1. Your OpenAI or OpenRouter API key. 2. Access to a local PostgreSQL database for test execution. You can view your generated tables using your preferred PostgreSQL GUI. We recommend **DBeaver**. Alternatively, you can activate the **Deactivated DB Visualization** nodes below. To use them, connect each to the most recent successful **Set** node and manually adjust the output. However, the easiest and most efficient method is to use a GUI. ## Workflow Explanation 1. We store all input values in the `localVariables` node. Please use this node to *get* the necessary data. 2. `OpenAI` has a built-in assistant that manages chat history on their side. For OpenRouter, we handle chat history locally. That's why we use separate nodes like `ifOpenAi` and `isOpenAi`. Note that `if` logic can also be used *inside* nodes. 3. The `AutoErrorFixing` loop will run only a limited number of times, as defined by the `isMaxAutoErrorReached` node. This prevents infinite loops. 4. The `Execute_AI_result` node connects to the PostgreSQL test database used to execute queries. ## Guidance on customization This setup is built for **PostgreSQL**, but it can be adapted to any **programming language**, and the logic can be extended to any **programming framework**. To customize the logic for other programming languages: 1. Change the `instruction` parameter in the `localVariables` node. 2. Replace the `Execute_AI_result` PostgreSQL node with another executable node. For example, you can use the HTTP Request node. 3. Update the `GenerateErrorPrompt` node's `prompt` parameter to generate code specific to your target language or framework. *Any workflows built on top of this must credit the original author and be released under an open-source license.*
n8n$24.99Automate Custom Cake Image Creation with OpenAI and Replicate
This workflow automates the creation of custom cake images by transforming user input into creative designs using OpenAI and Replicate. Ideal for bakeries, event planners, and marketers seeking personalized visuals.
n8n$9.99Automate AI-Ready Dataset Creation for LLMs Using Bright Data, Gemini, and Pinecone
This workflow automates the extraction, formatting, and storage of web data into AI-ready vector datasets, ideal for training large language models (LLMs). It utilizes Bright Data for web scraping, Gemini for data processing, and Pinecone for vector storage.
n8n$14.99Intelligent Chatbot with OpenAI, PostgreSQL Memory, and API Integration
This workflow creates an intelligent chatbot using OpenAI, integrated with PostgreSQL for memory retention and API calling capabilities, designed to enhance customer interactions via WhatsApp Business.
n8n$9.99Automate SEO Blog Creation and Publishing to WordPress
Efficiently generate and publish SEO-optimized blog posts to WordPress using OpenRouter and Runware AI for content and image creation.
n8n$14.99Create 5-Minute Wikipedia Podcasts from Telegram Messages
Transform Telegram messages into engaging 5-minute podcasts using Wikipedia research and AI voice synthesis. This workflow supports both text and voice inputs, providing a seamless experience for users.
n8n$9.99Automate AI Image Generation and Storage with Fal.ai and Google Drive
This workflow automates the generation of AI-based images using the Fal.ai Flux API, allowing you to define custom prompts and image parameters. It monitors the image creation process and saves the final output directly to Google Drive, streamlining creative automation.
n8n$9.99Generate Content Ideas from PDFs with InfraNodus GraphRAG and AI Gap Analysis
This template can be used to **find the content gaps in PDF documents** using the **[InfraNodus knowledge graph](https://infranodus.com) / GraphRAG text representation** and then **generate ideas / questions / AI prompts** that bridge those gaps based on optimizing the knowledge graph's structure. Simply **upload several PDF files** (research papers, corporate or market reports, etc.) and **generate an idea in seconds**. The template is **useful for:** - Generating ideas / questions for research - Generating content ideas based on competitors' discourse - Finding blind spots in any discourse and generating ideas that address them - Avoiding the generic bias of LLM models and focusing on what's important in your particular context ## What are Content Gaps and Knowledge Graphs? Knowledge graphs represent any text as a network: the main concepts are the nodes, their co-occurrences are the connections between them. Based on this representation, we build a graph and apply network science metrics to rank the most important nodes (concepts) that serve as the crossroads of meaning and also the main topical clusters that they connect. Naturally, some of the clusters will be disconnected and will have gaps between them. These are the topics (groups of concepts) that exist in this context (the documents you uploaded) but that are not very well connected. Addressing those gaps can help you see which groups of concepts you could connect with your own ideas. This is exactly what [InfraNodus](https://infranodus.com) does: builds the structure, finds the gaps, then uses the built-in AI to generate research questions and ideas that bridge those gaps.  ## How it works 1) Step 1: First, you **upload your PDF files** using an online web form, which you can run from n8n or even make publicly available. 2) Steps 2-4: The documents are processed using the Code and PDF to Text nodes to **extract plain text** from them. 3) Step 5: This text is then sent to the **InfraNodus GraphRAG** node that creates a knowledge graph, identifies **structural gaps** in this graph, and then uses built-in AI to generate **ideas** or research **questions / prompts** (if you use the InfraNodus question module instead). 4) Step 6: The ideas are then **shown to the user** in the same web form. Optionally, you can hook this template to your own workflow and send the idea / question generated to your own AI model / agent for further processing. If you'd like to sync this workflow to PDF files in a Google Drive folder, you can copy our [Google Drive PDF processing workflow](https://n8n.io/workflows/4486-upload-google-drive-files-to-an-infranodus-graph/) for n8n. ## How to use You need an [InfraNodus GraphRAG API account and key](https://infranodus.com/use-case/ai-knowledge-graphs) to use this workflow. - Create an InfraNodus account - Get the API key at [https://infranodus.com/api-access](https://infranodus.com/api-access) and create a Bearer authorization key. - Add this key into the InfraNodus GraphRAG HTTP node(s) you use in this workflow. - You do not need any OpenAI keys for this to work. Optionally, you can change the settings in Step 4 of this workflow and enforce it to always use the biggest gap it identifies. ## Requirements - An [InfraNodus](https://infranodus.com/use-case/ai-knowledge-graphs) account and API key Note: OpenAI key is not required. You will have direct access to the InfraNodus AI with the API key. ## Customizing this workflow You can use this same workflow with a Telegram bot or Slack (to be notified of the summaries and ideas). You can also hook up automated social media content creation workflows at the end of this template, so you can generate posts that are relevant (covering the important topics in your niche) but also novel (because they connect them in a new way). Check out our **n8n templates** for ideas at [https://n8n.io/creators/infranodus/](https://n8n.io/creators/infranodus/) Also check the **full tutorial** with a **conceptual explanation** at [https://support.noduslabs.com/hc/en-us/articles/20454382597916-Beat-Your-Competition-Target-Their-Content-Gaps-with-this-n8n-Automation-Workflow](https://support.noduslabs.com/hc/en-us/articles/20454382597916-Beat-Your-Competition-Target-Their-Content-Gaps-with-this-n8n-Automation-Workflow) Also check out the **video introduction to InfraNodus** to better understand how knowledge graphs and content gaps work: [](https://www.youtube.com/watch?v=8SAYDf9P7yg) For **support and help** with this workflow, please contact us at [https://support.noduslabs.com](https://support.noduslabs.com)
n8n$14.99Automate Context-Aware AI Responses for Discord Mentions and DMs
Deploy an AI assistant in your Discord server that intelligently responds to mentions and direct messages, utilizing OpenAI's language model for context-aware interactions.
n8n$14.99Automate Video Analysis with AI Insights from Google Drive
This n8n workflow automates the retrieval and analysis of video files from Google Drive using Google Gemini AI, transforming them into actionable insights without manual intervention.
n8n$9.99
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