Process & summarize PDFs from email & messaging apps with OpenAI GPT

Generate AI document titles for Paperless-ngx with GPT-4o Mini

What it does This template automatically generates a professional, structured title for newly-ingested Paperless-ngx documents using AI (OpenAI GPT), then removes a processing tag to mark the document as handled. How it works 1. A webhook fires when a document needs titling (e.g., from a Paperless post-consumption script) 2. The document URL is validated, then the OCR text is fetched from the Paperless API 3. All PII is scrubbed from the text using n8n's Guardrails node before sending to AI 4. G

Trigger new articles and add rows in Google Sheets with a ChatGPT Assistant

Automatically track new articles via RSS, generate insights with a ChatGPT assistant, and log them in Google Sheets for streamlined content management and analysis.

Create custom PDF documents from templates with Gemini & Google Drive

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 1 — What Does It Do / Which Problem Does It Solve? This workflow turns Google Docs-based contract & form templates into ready-to-sign PDFs in minutes—all from a single chat flow. - Automates repetitive document creation. Instead of copying a rental, sales, or NDA template and filling it by hand every time, the bot asks for the required values and fills them in. - Eliminates huma

Automate assignment grading with GPT-4-Turbo and multi-format reports

Introduction Automates AI-driven assignment grading with HTML and CSV output. Designed for educators evaluating submissions with consistent criteria and exportable results. How It Works Webhook receives papers, extracts text, prepares data, loads answers, AI grades submissions, generates results table, converts to HTML/CSV, returns response. Workflow Template Webhook → Extract Text → Prepare Data → Load Answer Script → AI Grade (OpenAI + Output Parser) → Generate Results Table → Convert

Automated resume job matching engine with Bright Data MCP & OpenAI 4o mini

Notice Community nodes can only be installed on self-hosted instances of n8n. Who this is for The Automated Resume Job Matching Engine is an intelligent workflow designed for career platforms, HR tech startups, recruiting firms, and AI developers who want to streamline job-resume matching using real-time data from LinkedIn and job boards. This workflow is tailored for: - HR Tech Founders - Building next-gen recruiting products - Recruiters & Talent Sourcers - Seeking automated candidate-job fit

Automate full agreement lifecycle with JotForm, approvals, Signwell e-signatures & tracking

Client Form → Draft → Approve → Sign → Deliver, fully automated This workflow automates the entire agreement lifecycle from client form submission to signed document delivery. It generates personalized agreements from templates, manages internal approvals, orchestrates e-signatures via Signwell, and delivers fully executed documents with complete audit trails in n8n Data Tables. Good to know - Handles client data collection via JotForm with custom field mapping - Automatically po

Instant infographic generator (LINE + Nano Banana Pro)

About This Template This workflow turns complex data or topics sent via LINE into beautiful, easy-to-understand Infographics. It combines Gemini (to analyze data and structure the visual layout) and Nano Banana Pro (accessed via Kie.ai API) to generate high-quality, data-rich graphics (Charts, timelines, processes). How It Works 1. Input: User sends a topic or data points via LINE (e.g., "Japan's Energy Mix: 20% Solar, 10% Wind..."). 2. Data Visualization Logic: Gemini acts as an Information Des

Evaluate AI agent response relevance using OpenAI and cosine similarity

This n8n template demonstrates how to calculate the evaluation metric "Relevance" which in this scenario, measures the relevance of the agent's response to the user's question. The scoring approach is adapted from the open-source evaluations project RAGAS and you can see the source here How it works This evaluation works best for Q&A agents. For our scoring, we analyse the agent's response and ask another AI to generate a question from it. This generated question is then compared to the origi