by Rahul Joshi
Description: This ready-to-deploy n8n automation template smartly detects and classifies files uploaded to a specified Google Drive folder based on MIME type. It automatically moves each file into its correct destination folder: Documents, PDFs, or Images — ensuring a clean and organized Drive, effortlessly. Perfect for remote teams, admins, educators, legal pros, and automation-focused operations, this workflow eliminates manual sorting and saves hours of repetitive work. What This Template Does (Step-by-Step) ⚙️Manual Trigger: Launch the workflow on demand using the "Execute Workflow" trigger. 📁 Search Files in Source Folder (Google Drive): Lists all files inside your chosen folder (e.g., "Uploads"). 🔁 Loop Over Files (SplitInBatches): Iterates through each file one-by-one to ensure reliability. 📥 Download File (Google Drive): Retrieves file metadata and MIME type required for filtering. 🧠 Smart File Type Detection via If Nodes application/json → Move to Documents folder application/pdf → Move to PDFs folder image/jpeg → Move to Images folder (Easily customizable to support additional types like PNG, DOCX, etc.) 📂 Move Files to Designated Folders: Uses Google Drive API to relocate each file to its proper location. 🔁 Loop Returns for Next File After each move, the loop picks the next file in queue. Key Features ⚙️ Google Drive API v3 Integration 🔐 OAuth2 for secure access 📄 MIME-type–based routing logic 🔁 Batch-safe with looping logic ✅ File properties are preserved 🔄 Auto-removal from source after sorting Required Integration Google Drive (OAuth2) Use Cases Auto-organize client uploads Separate scanned PDFs, images, or forms Route invoices, receipts, or contracts into folders Automatically sort uploaded assignments or resources Maintain structured cloud storage without manual intervention Why Use This Template? ✅ No-code deployment ✅ Saves hours of manual work ✅ Works across teams, departments, or shared Drives ✅ Easy to expand with more file types or routing rules ✅ Keeps your Drive clean, fast, and organized
by Harshil Agrawal
No description available
by Deborah
No description available
by Harshil Agrawal
No description available
by Harshil Agrawal
No description available
by KlickTipp
Community Node Disclaimer This workflow uses KlickTipp community nodes and works only on self-hosted n8n instances. Introduction Automate Eventbrite order and refund processing by syncing data directly to KlickTipp. Whenever a participant registers or requests a refund, their profile is updated with event details and tags—keeping your segmentation accurate and automated. Who’s it for Perfect for event organizers, digital marketers, and automation specialists using Eventbrite and KlickTipp who want to eliminate manual imports and keep contact data consistent. How it works Eventbrite Trigger captures order.placed and order.refunded events. Switch Node routes logic: 🟢 Order placed → Adds contact, fetches event data, and tags buyer. 🔴 Refunded → Adds refund tag and removes buyer tag. Enrichment stores event name, page URL, and end date in KlickTipp fields. Fee check applies extra segmentation for paid vs. free events. KlickTipp updates contacts automatically—no manual steps needed. Requirements Self-hosted n8n (community node support) Eventbrite** account (OAuth2) KlickTipp** account (API access) KlickTipp custom fields: Eventbrite | Event name Eventbrite | Start timestamp Eventbrite | Event page URL KlickTipp tags: Eventbrite | Buyer Eventbrite | Refundee Eventbrite | Registrant How to set up Connect accounts: Eventbrite (OAuth2) & KlickTipp (API). Map fields: Event name, date, and URL to KlickTipp custom fields. Update tag IDs: Replace with your own KlickTipp IDs. Test the flow: Place an order → verify tags → trigger a refund to test removal. > 💡 Tip: Enable auto tag removal in KlickTipp so Buyer tags are removed when Refundee tags are added. How to customize Adapt field mappings to match your KlickTipp setup. Adjust tag rules for different event types or ticket tiers. Extend for multiple events or recurring campaigns. Campaign expansion ideas Track attendance vs. no-shows using participation tags. Add VIP or ticket-type segmentation. Trigger follow-up automations for refundees or attendees. Connect to other tools for reminders, surveys, or upsells.
by Aitor | 1Node
This n8n workflow enables you to chat with the uncensored Dolphin Mixtral 8x22B large language model through the Novita AI inference. It provides a streamlined process for sending user messages to the model and returning its responses, making it easy to integrate into chatbots, automation, or internal tools. How It Works User messages** are received from chat trigger The edit node prepares and formats the request for Novita AI's chat completion endpoint. The message is sent to Dolphin Mixtral 8x22B (uncensored) via the Novita API. The model's reply is extracted and returned as a clean string, ready for display or further automation. Set Up Steps Create a Novita AI account Sign up at Novita AI to access the API. Get your Novita API key Log into your Novita account and generate your API key. Configure the workflow in n8n Insert your Novita API key in the "Set fields" node, as well as additional endpoint parameters you might want to add to optimize your api (Optional) Customize or extend Add input triggers (chat, webhook, etc.), post-processing nodes, or error handling as needed. Useful links Novita chat completion docs Novita Privacy Policy Notes Dolphin Mixtral 8x22B** is uncensored: The model is very permissive and does not have restrictive safety alignment, so ensure your use case is appropriate and consider adding your own safety checks, as well as reviewing Novita's privacy policy. You can review and adapt the workflow steps inside n8n to fit your requirements, such as saving chat logs, formatting responses, or integrating with other tools.
by Harshil Agrawal
No description available
by Sarry
What does this workflow do? This workflow acts as the backend "brain" for a sophisticated AI Voice Interviewer. It receives a user's resume text and a target job description, then uses a Large Language Model (LLM) to conduct a realistic, voice-based interview. The workflow maintains conversation history to ask relevant follow-up questions, creating a dynamic and personalized interview practice experience. This template is designed to work with a simple HTML frontend that handles the voice-to-text and text-to-speech functionality. What services does this workflow use? Google Gemini:** This is the LLM used to generate intelligent interview questions. You can easily swap this out for other models like OpenAI. What credentials do you need to have? You will need one credential: A Google Gemini API Key. You can get one for free from the Google AI Studio. How to use this workflow This workflow is the backend and requires a frontend to interact with. Set up the Frontend: You can find the complete frontend code and setup instructions in this GitHub repository. Configure Credentials: In this n8n workflow, click on the "Google Gemini Chat Model" node and add your own Gemini API credential. Activate the Workflow: Make sure the workflow is saved and active. Connect Frontend to Backend: Click on the "Webhook" node and copy the Production URL. Paste this URL into the voice-interview.html page as instructed in the GitHub repository's README.md file. Start Interviewing: Fill out the form on the web page to begin your voice interview!
by Harshil Agrawal
Moving metrics from Google Sheets to Orbit
by Harshil Agrawal
No description available
by Harshil Agrawal
No description available