Generate 9:16 images from content and brand guidelines

AI-driven lead management and inquiry automation with ERPNext & n8n

Overview This workflow template automates lead management and customer inquiry processing by integrating ERPNext, AI agents, and email notifications. It streamlines the process of capturing leads, analyzing inquiries, and generating actionable responses. The workflow uses ERPNext to capture inquiries, analyzes them with AI, and notifies the appropriate team or individual, all while maintaining a professional approach. --- What This Template Does 1. ERPNext Webhook Integration: - Captures leads

Create PDF from images for free via Google Slides and Google Drive

This n8n template offers a free and automated way to convert images from a Google Drive folder into a single PDF document. It uses Google Slides as an intermediary, allowing you to control the final PDF's page size and orientation. If you're looking for a no-cost solution to batch convert images to PDF and need flexibility over the output dimensions (like A4, landscape, or portrait), this template is for you! It's especially handy for creating photo albums, visual reports, or simple portfolios d

Build a Facebook Messenger customer service AI chatbot with Google Gemini

Build a customer service AI chatbot for Facebook Messenger with Google Gemini --- 📌 Overview A streamlined Facebook Messenger chatbot powered by AI with conversation memory. This is a simplified version designed for quick deployment, learning, and testing — not suitable for production environments. Base workflows: - Smart message batching AI-powered Facebook Messenger chatbot use Data Table - [Smart human takeover & auto pause AI-powered

Get an automated, curated newsletter everyday using Perplexity and Gmail

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Setup Time 5-10 minutes Problem ⏳ Researching and personalizing outreach is slow and manual! You spend hours searching for the right people, reading through profiles, and then writing custom emails—only to repeat the process for every new lead or opportunity. It’s tedious, error-prone, and not scalable. What if you could get a beautifully formatted, ready-to-send newsletter in your G

Qualify real estate leads automatically with OpenAI, Gmail & Airtable CRM

How It Works 1. This AI Agent automatically qualifies property buyer leads from form submissions. 2. Form Submission Trigger 3. When a user submits their details via a property inquiry form, the workflow is triggered. 4. AI Lead Classification 5. The buyer's input (budget, location, timeline, etc.) is analyzed by OpenAI to extract structured data and generate a lead score (0–100). 6. Lead Qualification Logic 7. Leads with a score of 70 or above are marked as qualified, the rest are ignored or

Gmail auto-reply generator with ChatGPT

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Gmail Auto-Reply with AI Automatically draft smart email replies using ChatGPT. Reclaim your time typing the same responses again and again. --- Who is this for? If you're overwhelmed with emails and constantly repeating yourself in replies, this workflow is for you. Whether you're a freelancer, business owner, or team lead, it saves you time by handling email triage and drafting replies for you.

Summarize content from URLs, text & PDFs using OpenAI

AI Content Summarizer Suite This n8n template collection demonstrates how to build a comprehensive AI-powered content summarization system that handles multiple input types: URLs, raw text, and PDF files. Built as 4 separate workflows for maximum flexibility. Use cases: Research workflows, content curation, document processing, meeting prep, social media content creation, or integrating smart summarization into any app or platform. How it works - Multi-input handling: Separate workflows f

Reduce LLM Costs with Semantic Caching using Redis Vector Store and HuggingFace

Stop Paying for the Same Answer Twice Your LLM is answering the same questions over and over. "What's the weather?" "How's the weather today?" "Tell me about the weather." Same answer, three API calls, triple the cost. This workflow fixes that. What Does It Do? Semantic caching with superpowers. When someone asks a question, it checks if you've answered something similar before. Not exact matches—semantic similarity. If it finds a match, boom, instant cached response. No LLM call, no cost, no w