AI Automation Workflows — Page 19 | Neura Market
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    Artificial Intelligence tools and workflows

    • Automate Image Generation with IBM Granite Vision 3.3 2B AI Model

      This n8n workflow leverages the IBM Granite Vision 3.3 2B AI model via the Replicate API to generate high-quality images from text inputs. It automates the process from API request to image retrieval, ensuring efficient and accurate visual content creation.

      n8nFree
    • Automate Trello Board Summarization with OpenAI GPT-5-Nano

      This workflow retrieves data from a Trello board, including lists and cards, and uses OpenAI's GPT-5-Nano to generate a concise summary of the board's contents.

      n8nFree
    • Automate Video Creation and Upload to YouTube with Veo3 and Google Sheets

      This workflow automates the creation of Veo3 videos and uploads them to YouTube, leveraging Google Sheets for data management and AI for content optimization.

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  1. Automate AI News Video Content Creation with Perplexity and OpenAI

    This workflow automates the creation of engaging AI-related video content ideas by gathering the latest news, crafting scripts, and organizing them in Google Sheets for easy access.

    n8nFree
  2. Extract Text from Images & PDFs via Telegram with Mistral OCR to Markdown

    This n8n template provides a complete solution for **Optical Character Recognition (OCR)** of image and PDF files directly within Telegram. --- Users can simply send **PNG, JPEG, or PDF** documents to your Telegram bot, and the workflow will process them, extract text using **Mistral OCR**, and return the content as a downloadable Markdown (`.md`) text file. ## Key Features & How it Works: - **Effortless OCR via Telegram**: Users send a file to the bot, and the system automatically detects the file type (PNG, JPEG, or PDF). - **File Size Validation**: The workflow enforces a **25 MB file size limit**, in line with Telegram Bot API restrictions, ensuring smooth operation. - **Mistral-Powered Recognition**: Leveraging **Mistral OCR**, the template accurately extracts text from various document types. - **Markdown Output**: Recognized text is automatically converted into a clean Markdown (`.md`) text file, ready for easy editing, storage, or further processing. - **Secure File Delivery**: The processed Markdown file is delivered back to the user via Telegram. For this, the workflow ingeniously uses a **GET request to itself** (acting as a file downloader proxy). This generated link allows Telegram to fetch the `.md` file directly. **Please note: This download functionality requires the workflow to be in an `Active` status.** - **Optional Whitelist Security**: Enhance your bot's security with an **optional whitelist feature**. You can configure specific Telegram User IDs to restrict access, ensuring only authorized users can interact with your bot. - **Simplified Webhook Management**: The template includes dedicated utility flows for convenient management of your Telegram bot's webhooks (for both development and production environments). This template is ideal for digitizing documents on the go, extracting text from scanned files, or converting image-based content into versatile, searchable text. ## Getting Started To get this powerful OCR bot up and running, follow these two main steps: 1. **Set Up Your Telegram Bot:** First, you'll need to configure your Telegram bot and its webhooks. Follow the instructions detailed in the **Telegram Bot Webhook Setup** section to create your bot, obtain its API token, and set up the necessary webhook URLs. 2. **Configure Bot Settings:** Next, you'll need to define key operational parameters for your bot. Proceed to the **Settings Configuration** section and populate the variables according to your preferences, including options for whitelist access.

    n8nFree
  3. Deploy a Custom-Branded AI Chatbot with Langflow Integration

    Integrate a customizable AI chatbot on your website using n8n and Langflow, enabling dynamic responses and seamless user interactions.

    n8nFree
  4. Find Step-by-Step Recipes from API Ninjas Recipe API in an n8n AI Agent

    ## Who's it for Makers who want a tiny, understandable AI agent that turns chat prompts into real recipe results. Great for demos, tutorials, or as a starting point for tool-using agents. ## How it works / What it does - Listens for chat messages and keeps a short recent-history window. - Uses a simple system hint to prefer the recipe tool for cooking queries. - Calls API Ninjas recipe endpoint and returns ingredients and instructions. - Replies concisely with a title, bullet ingredients, and numbered steps. ## How to set up 1. Add your OpenAI API key to the OpenAI Chat node. 2. Add your API Ninjas key to the HTTP Request node used by the recipe tool. 3. Deploy the chat trigger and send a message like "find me a pasta recipe." ## Requirements - n8n environment - OpenAI API key - API Ninjas API key for the recipe endpoint ## How to customize the workflow - Swap API Ninjas for any GE or POS recipe API without changing the agent pattern. - Save results to a database or Google Sheets for later use. - Add optional fields like servings, time, or nutrition. - Introduce basic guardrails for tone, length, or ingredient safety checks.

    n8nFree
  5. Automate Agile Retrospective Reports from Jira Epics Using AI and Google Docs

    Streamline the creation of Lessons Learned reports by automating the process when a Jira Epic is marked as Done. This workflow uses AI to generate insightful reports and delivers them directly to Google Docs.

    n8nFree
  6. Cost-Efficient AI Chatbot for Website Engagement

    Deploy an AI chatbot on your website that activates only when a chat is initiated, optimizing AI token usage and enhancing user interaction.

    n8nFree
  7. Create an AI-Powered Chatbot for Airtable Data Analysis

    This workflow enables the creation of an AI-powered chatbot that interacts with Airtable datasets, allowing users to retrieve and analyze data through conversational queries.

    n8nFree
  8. Automate Browser Interactions with Airtop and GPT-4 for Reddit Posting

    This n8n workflow creates an AI agent that automates browser interactions using Airtop and GPT-4, enabling automated Reddit posting with session management, live monitoring, and detailed activity tracking.

    n8nFree
  9. Process AI Output to Structured JSON with Robust JSON Parser

    ### How it works This workflow is a robust and forgiving JSON parser designed to handle malformed or dirty JSON strings often returned by AI models or scraped from web pages. It takes a text string as input and attempts to extract and parse a valid JSON object from it. 1. **Cleans Input:** It starts by trimming whitespace and removing common Markdown code fences (like ```json) that might wrap the JSON. 2. **Applies Multiple Fixes:** It systematically attempts to correct common JSON errors in a specific order: - Escapes unescaped control characters (like newlines) within strings. - Fixes invalid backslash escape sequences. - Removes trailing commas. - Intelligently attempts to fix unescaped double quotes inside string values. 3. **Parses Strategically:** If a direct parse fails, it tries to extract a potential JSON object from the text (e.g., finding a `{...}` block inside a larger sentence) and then re-applies the cleaning logic to that extracted portion. 4. **Outputs Clean Data:** If successful, it outputs the parsed JSON fields. By default, it removes the detailed `parsing_status` object, but you can deactivate the final Set node to keep it for debugging. ### Set up steps **Setup time: ~1 minute** This workflow is designed to be used as a sub-workflow and requires no internal setup. 1. In your main workflow, add an **Execute Sub-Workflow** node where you need to parse a messy JSON string. 2. In the **Workflow** parameter, select this Robust JSON Parser workflow. 3. Ensure the data you send to the node is a JSON object containing a `text` field, where the value of `text` is the string you want to parse. For example: `{ "text": {"\\key\\": "\\some broken json...\\} }`. 4. The workflow will return the successfully parsed data. To see a detailed log of the cleaning process, simply deactivate the final `Remove parsing_status` node inside this workflow.

    n8nFree
  10. Automate AI-Driven Multi-Reading Level Blog Posts for WordPress

    This workflow automates the creation and publication of AI-generated content for WordPress, catering to multiple reading levels. It generates structured blog posts, creates featured images, and publishes drafts with versions for different reading levels.

    n8nFree
  11. Automate AI Image Generation and Google Drive Upload with DALL·E 2

    This workflow automates the creation of multiple AI-generated images using OpenAI's DALL·E 2 and uploads them to a specified Google Drive folder. Ideal for creative projects, it efficiently handles multiple image variations from a single prompt.

    n8nFree
  12. Transform JSON to XML for Enhanced AI Prompt Formatting

    ## Overview This template provides a powerful and configurable utility to convert JSON data into a clean, well-structured XML format. It is designed for developers, data analysts, and n8n users who need to interface with legacy systems, generate structured reports, or prepare data for consumption by Large Language Models (LLMs), which often exhibit improved understanding and parsing with XML-formatted input. ## Use Cases This workflow is ideal for solving several common data transformation problems: * **Preparing Data for AI Prompts:** LLMs like GPT-4 often parse XML more reliably than JSON within a prompt. The explicit closing tags and hierarchical nature of XML reduce ambiguity, leading to better and more consistent responses from the AI. * **Interfacing with Legacy Systems:** Many enterprise systems, SOAP APIs, and older software exclusively accept or produce data in XML format. This template acts as a bridge, allowing modern JSON-based services to communicate with them seamlessly. * **Generating Structured Reports:** Create XML files for reporting or data interchange standards that require a specific, well-defined structure. * **Improving Data Readability:** For complex nested data, a well-formatted XML can be easier for humans to read and debug than a compact JSON string. ## How it works This workflow acts as a powerful, configurable JSON to XML converter. It takes a JSON object as input and performs the following steps: 1. **Recursively Parses JSON:** It intelligently navigates through the entire JSON structure, including nested objects and arrays. 2. **Handles Data Types:** * **Primitive Arrays** (e.g., `[a, b, c]`) are joined into a single string with a safe delimiter. * **Complex Arrays** (of objects) are converted into indexed XML tags (<0>, <1>, etc.). * **Dates** are automatically detected and formatted into a readable `YYYY-MM-DD HH:mm:ss` format. 3. **Generates XML String:** It constructs a final XML string based on the logic and configuration set inside the Code node. The output is provided in a single `xml` field, ready for use. ## Set up steps **Setup time: ~1 minute** This workflow is designed to be used as a sub-workflow (or child workflow). 1. In your main workflow, add an **Execute Workflow** node. 2. In the **Workflow** parameter of that node, select this JSON to XML Converter workflow. 3. That's it! You can now send JSON data to the Execute Workflow node and it will return the converted XML string in the `xml` field. ## Customization Options The true power of this template lies in its customizability, all managed within the configuration section at the top of the Code node. This allows you to fine-tune the output XML to your exact needs. * **`REMOVE_EMPTY_VALUES`**: Set to `true` (default) to completely omit tags for `null`, `undefined`, or empty string values, resulting in a cleaner XML. Set to `false` to include empty tags like <mytag></mytag>. * **Newline Formatting**: Control the spacing and readability of the output with four distinct settings: * `NEWLINES_TOP_LEVEL`: Adjusts the newlines between root-level elements. * `NEWLINES_ARRAY_ITEMS`: Controls spacing between items in a complex array (e.g., between <0> and <1>). * `NEWLINES_OBJECT_PROPERTIES`: Manages newlines between the properties of an object. * `NEWLINES_WITHIN_TAGS`: Adds newlines between an opening/closing tag and its content for an indented look. ## Prerequisites * An active n8n instance. * Basic familiarity with JSON and XML data structures. * Understanding of how to use the **Execute Workflow** node to run sub-workflows.

    n8nFree
  13. Automated Context-Aware Query Answering with Google Gemini and Qdrant

    This workflow automates the classification and retrieval of user queries to provide precise and contextually relevant answers. It leverages Google Gemini and Qdrant to adaptively handle factual, analytical, opinion, and contextual queries.

    n8nFree
  14. Automate Instagram Reel Analysis and Content Creation with AI and Google Sheets

    This workflow automates the process of analyzing Instagram Reels and generating viral content ideas using AI. It extracts insights and scripts from Reels, saving them to Google Sheets for easy access.

    n8nFree
  15. Automate LinkedIn Profile Discovery and Outreach via Form Submission

    This n8n workflow automates the discovery of LinkedIn profiles based on user-submitted data, leveraging Bright Data for web scraping and GPT-4o-mini for data parsing. It crafts a personalized follow-up email with insights and outreach strategies.

    n8nFree
  16. Create AI-Generated Music and Upload to Google Drive

    Automatically generate unique AI-composed music using ElevenLabs API and save the MP3 files to Google Drive for easy access and sharing.

    n8nFree
  17. Effortlessly Create AI Videos from Google Sheets with Fal.AI

    Transform your ideas into AI-generated videos directly from Google Sheets using Fal.AI, offering a cost-effective alternative to Veo3.

    n8nFree
  18. Create an Adaptive AI Chat Agent with Google Gemini and Qdrant

    Transform your chatbots and support systems with adaptive, context-aware AI using Google Gemini and Qdrant. This n8n workflow classifies queries and applies tailored strategies for factual, analytical, opinion, or contextual requests, ensuring precise and relevant responses.

    n8nFree
  19. Transform PDF Documents into AI-Generated Podcasts with Google Gemini

    Automatically convert PDF documents into engaging podcasts using Google Gemini's AI and text-to-speech technology. This workflow extracts text, generates scripts, and produces high-quality audio files, perfect for content creators and educators.

    n8nFree
  20. Automate AI Video Creation and YouTube Upload with Google Suite

    Streamline your video production by automating AI-generated video creation, uploading to YouTube, and tracking with Google Sheets. Ideal for content creators and marketers.

    n8nFree
  21. Automate Pizza Ordering with GPT-3.5 Chatbot in n8n

    Streamline your pizza store's order processing with an AI-powered chatbot that handles menu inquiries, order placements, and status tracking using OpenAI and n8n.

    n8nFree
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