AI n8n Workflows

n8n AI workflow templates and automation recipes2728 free workflow templates ready to import.

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Generate AI product marketing photos from Google Sheets with Google Gemini and Drive

How it works Reads product image links from a Google Sheet. Analyzes each image, generates an AI prompt, and combines the product with a human model image. Creates final AI advertising photos and: Saves images to Google Drive. Saves prompts + result links to a separate “output” sheet. Here’s an updated version of the note, optimized so the customer knows exactly what they must customize (no hard‑coded IDs assumed). One‑time setup for your own account Before using the workflow, you must point it

14個のノードchainllmgoogledrivegooglegemini

作成者:Vuong Nguyen

high

Turn your website docs into a GPT-4.1-mini support chatbot with MrScraper and Pinecone

Description This n8n template turns any website or documentation portal into a fully functional AI-powered support chatbot — no manual copy-pasting, no static FAQs. It uses MrScraper to crawl and extract your site's content, OpenAI to generate embeddings, and Pinecone to store and retrieve that knowledge at chat time. The result is a retrieval-augmented chatbot that answers questions using only your actual website content, always cites its sources, and never hallucinates policies or pricing.

16個のノードagentchatcode

作成者:riandra

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Generate LinkedIn posts using Google Gemini, MongoDB Atlas, Google Drive and Sheets

🚀 How the System Works This automation operates in three distinct phases: Ingestion, Storage, and Generation. | Phase | Component | What Happens | | --- | --- | --- | | 1. The Trigger | Google Drive | Every time you update your rag_posts.csv in your Drive folder, the system wakes up. | | 2. The Brain | Gemini Embeddings | It turns your text into "Vectors" (numbers) so the AI understands the meaning of your writing style, not just the words. | | 3. The Vault | MongoDB Atlas | Your posts are sto

15個のノードagentchattriggerdocumentdefaultdataloader

作成者:Nitesh

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Generate workflow documentation and node names with GPT‑4.1‑mini

Who Is This For? This workflow serves as a comprehensive "Workflow Nodes SEO & Documentation Generator". It uses AI to analyze, rename, and document n8n workflows, offering a streamlined way to optimize workflow readability and prepare them for sharing. Who Is This For? This workflow is designed for n8n users, workflow managers, and community contributors who want clean, professional, and easy-to-understand workflows. What This Workflow Does This workflow works as a smart assistant that: Autom

51個のノードagentagenttoolaggregate

作成者:SpaGreen Creative

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Generate an SEO PDF report from HTML with Gotenberg and Claude Opus 4.6

What this workflow does This workflow takes any website URL, extracts its HTML content, and uses an AI Agent (Claude Opus 4.6) to perform a comprehensive SEO analysis. The AI evaluates the page structure, meta tags, heading hierarchy, link profile, image optimization, and more — then generates a beautifully formatted HTML report. Finally, it converts the report into a PDF using Gotenberg, a free and open-source HTML-to-PDF engine. Workflow steps: Form submission — pass the URL you want to anal

6個のノードagentconverttofileformtrigger

作成者:Marcelo Abreu

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Chat with PDF, CSV, and JSON documents using Google Gemini RAG

Overview Turn documents into an AI-powered knowledge base. Upload PDF, CSV, or JSON files and ask natural-language questions about their content using a Retrieval-Augmented Generation (RAG) workflow powered by Google Gemini. The workflow extracts, embeds, and semantically searches document data to generate accurate, source-grounded answers. Designed as a simple and extensible starting point for building AI document assistants. Key Features Upload and analyze PDF, CSV, and JSON AI chatbot wi

11個のノードagentchattriggerdocumentdefaultdataloader

作成者:Md Khalid Ali

high

Generate AI research papers with Claude, arXiv, Google Scholar and DOCX export

How It Works This workflow streamlines academic paper development through a multi-agent AI architecture that collects references, drafts individual sections autonomously, compiles the manuscript, and exports a professionally formatted DOCX file. Tailored for researchers, faculty members, and postgraduate students, it reduces the effort required to plan, write, and format scholarly articles from the ground up. Upon receiving a paper title and abstract, the system initiates web-based literature re

34個のノードagentagenttoolcode

作成者:Cheng Siong Chin

high

Grade exam answers with GPT‑4.1 mini, plagiarism checks, Slack alerts and Google Sheets logging

How It Works This workflow streamlines academic assessment through a multi-agent AI system that interprets rubrics, grades submissions, checks for plagiarism, performs quality moderation, generates feedback, and escalates borderline cases. Designed for educators and assessment administrators, it reduces inconsistencies in manual marking while embedding integrity checks into every evaluation cycle. A manual trigger retrieves student answers and rubrics, which are first structured before being sen

31個のノードagentcodegooglesheets

作成者:Cheng Siong Chin

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Track legal case deadlines and exceptions with Anthropic, court APIs, Gmail and Slack

How It Works This workflow automates legal case tracking, deadline management, and exception handling for law firms, corporate legal departments, and court systems managing complex litigation portfolios. Designed for attorneys, paralegals, and legal operations teams, it solves the challenge of monitoring court filings, tracking critical deadlines, identifying case exceptions, and coordinating multi-stakeholder responses while preventing costly missed deadlines and procedural violations. The syst

20個のノードagentagenttooldatatable

作成者:Cheng Siong Chin

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Audit contract governance risk with OpenAI, Slack and email routing

How It Works This workflow automates contract governance auditing by deploying a multi-agent AI system that validates contracts, assesses risk, checks compliance, and routes alerts based on risk level. Designed for legal, procurement, and compliance teams, it eliminates manual contract review bottlenecks and ensures timely escalation of high-risk issues. A schedule trigger initiates the workflow, simulating a contract audit data input. A Contract Validation Agent performs initial validation via

24個のノードagentagenttoolcode

作成者:Cheng Siong Chin

high

Prioritize Amazon competitor gaps using Bright Data and Google Sheets

Amazon Competitive Gap & Assortment Intelligence Workflow Description This workflow automatically scrapes competitor product data from Amazon and identifies gaps in your assortment, pricing, and positioning. It helps merchandising and product teams spot opportunities they are missing before competitors fill them. Overview This workflow uses Bright Data to scrape Amazon product pages, then normalizes the data and feeds it to AI for competitive gap analysis. It identifies: Missing product v

17個のノード@brightdata/n8n-nodes-brightdata.brightdataagentcode

作成者:Yaron Been

high

Analyze Amazon review friction and revenue impact with Bright Data, OpenRouter and Google Sheets

Description This workflow automatically extracts Amazon product reviews and identifies hidden friction signals that are costing you conversions. It helps ecommerce and product teams turn customer complaints into measurable revenue opportunities. Overview This workflow uses Bright Data's Web Scraper API to collect Amazon reviews, then scans them for friction signals like delivery issues, return complaints, sizing problems, and product defects. AI classifies each friction signal by revenue i

23個のノード@brightdata/n8n-nodes-brightdata.brightdataagentcode

作成者:Yaron Been

high

Monitor supplier financial distress and risk with Bright Data, OpenRouter and Google Sheets

Description This workflow automatically scans companies for signs of financial distress across filings, insolvency registers, and financial news. It helps procurement, credit, and risk teams detect early warning signals before a supplier or partner defaults. Overview This workflow uses Bright Data to scrape financial filings, insolvency registers, and news sources for distress signals like bankruptcy, restructuring, or payment defaults. AI classifies the type and severity of distress, appl

26個のノード@brightdata/n8n-nodes-brightdata.brightdataagentcode

作成者:Yaron Been

high

Analyze, classify, and summarize Gmail with OpenAI RAG and Google Sheets

📧 Analyze, classify, and summarize emails using RAG (automatic taxonomy learning) This workflow automatically reads incoming Gmail messages, analyzes them using AI with a retrieval-augmented classification system (RAG), organizes emails into structured categories, stores results in Google Sheets, and even generates an audio summary sent directly to Telegram. ⚙️ How It Works The workflow creates an intelligent email processing pipeline combining Gmail, OpenAI, vector embeddings, and Googl

20個のノードagentcodedocumentdefaultdataloader

作成者:Amirhosein Zahedi

high

Build an OpenAI HR assistant for Telegram attendance and salary reports

What Problem Does It Solve? HR managers waste hours manually logging attendance, calculating work hours, and tracking salary advances in spreadsheets. Onboarding new staff often involves messy paperwork or scattered chat messages. Salary calculations are prone to errors when manually tallying absence, overtime, and penalties. This workflow solves these by: -- Allowing employees to check in/out and request loans via a simple Telegram chat. -- Automatically calculating work hours and applying pena

41個のノードagentcodefilter

作成者:khaled yasser

🔗high

Route and escalate student advising requests with OpenAI, Gmail and Slack

How It Works This workflow automates student academic advising by deploying a multi-agent AI system that triages student queries, routes them intelligently, and escalates when human intervention is needed. Designed for academic institutions, it eliminates manual triage bottlenecks and ensures timely, context-aware responses. A student event triggers the webhook, which feeds into a Status Agent to classify the student's situation. A routing node directs the request to an Academic Orchestration Ag

25個のノードagentagenttoolcode

作成者:Cheng Siong Chin

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Generate e-commerce product descriptions from a form with Google Gemini

Who is this for E-commerce store owners, product marketers, and agencies who need high-quality product descriptions at scale. Works great for Shopify, Amazon, or any platform that needs SEO-friendly copy. What this workflow does Users fill out a simple web form with their product name, key features, target audience, preferred tone, and language options. Google Gemini generates a complete product listing package including an SEO-optimized title, meta description, full product description, bene

8個のノードchainllmcodeformtrigger

作成者:Oka Hironobu

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Review PDF contract risks with a form, Google Gemini, Sheets, and Slack

Who is this for Legal teams, operations managers, and freelancers who review contracts regularly and want to catch risky clauses before signing. Ideal for small teams without dedicated legal counsel. What this workflow does This workflow automates contract risk analysis using AI. A user uploads a PDF contract through a web form and selects the contract type. The Code node extracts text from the PDF, then Google Gemini analyzes the full contract for risky clauses, unfavorable terms, and missin

8個のノードchainllmcodeformtrigger

作成者:Oka Hironobu

high

Validate property compliance risk and orchestrate actions with OpenAI, Google Calendar, Gmail, Slack, and Google Sheets

How It Works This workflow automates medical imaging analysis and diagnostic reporting for radiology departments, imaging centers, and hospital networks managing high patient volumes. Designed for radiologists, medical imaging technicians, and diagnostic coordinators, it solves the challenge of rapidly analyzing imaging studies, prioritizing critical findings, routing cases appropriately, and generating structured reports while maintaining diagnostic accuracy and regulatory compliance. The syste

31個のノードagentagenttoolcode

作成者:Cheng Siong Chin

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Detect transaction fraud and manage compliance with GPT-4 and Airtable

How It Works This workflow automates financial transaction monitoring, fraud detection, and regulatory compliance using OpenAI GPT-4 across coordinated specialist agents. It targets compliance officers, fraud analysts, and fintech operations teams managing high transaction volumes where manual review is too slow to catch emerging fraud patterns and compliance breaches in time. On schedule, the system fetches pending transactions from Airtable and routes them through a Transaction Signal Agent th

22個のノードagentagenttoolairtable

作成者:Cheng Siong Chin

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Monitor AI budgets and optimize costs with Anthropic Claude and Slack alerts

How It Works This workflow automates enterprise budget monitoring and cost optimization using Anthropic Claude as the core AI engine across multiple specialist agents. It targets finance teams, operations managers, and CFOs managing complex multi-department budgets where manual tracking leads to delayed decisions and cost overruns. The workflow triggers on schedule, generates metrics data, and routes it through a Cost Intelligence Agent that classifies budget status (Critical, Warning, Review, F

23個のノードagentagenttoolcode

作成者:Cheng Siong Chin

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Track legal risks and litigation threats using Bright Data, OpenRouter and Google Sheets

Description This workflow automatically monitors companies across courts, regulators, and jurisdictions to detect legal risk signals early. It helps legal, compliance, and risk teams stay ahead of litigation threats without manually scanning dozens of public sources. Overview This workflow scrapes court records, regulatory filings, and legal news using Bright Data, then uses AI to classify, score, and cluster legal events by jurisdiction and topic. It filters noise, identifies high-risk cases,

35個のノード@brightdata/n8n-nodes-brightdata.brightdataagentaggregate

作成者:Yaron Been

high

Create AI social media carousels from Google Sheet and auto-publish with Blotato

🚀 Create Pro-Level Social Media Carousels & Auto-Publish with Blotato By @nocodehack Who is this for? This workflow is built for e-commerce brands, social media managers, marketing agencies, dropshippers, content creators, and automation builders who need to produce professional carousel posts at scale. Perfect for anyone running product marketing, brand campaigns, multi-platform social media, affiliate content, or any business that publishes carousel posts regularly and wants to eliminate des

27個のノード@blotato/n8n-nodes-blotato.blotatochainllmcode

作成者:ing.Seif

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Extract order details from LINE messages and photos to Google Sheets with OpenAI

Extract order details from LINE messages and photos to Google Sheets with OpenAI Automatically extract order information from text messages or handwritten memo photos sent via LINE, confirm with the user, and append to a Google Sheets tracking sheet. How it works Receives text or image messages from LINE Messaging API Routes messages by type — text goes directly to the AI Agent, images are first downloaded via LINE API The AI Agent (GPT-4o) analyzes the input, extracts order details, and asks

8個のノード@aotoki/n8n-nodes-line-messaging.linemessaging@aotoki/n8n-nodes-line-messaging.linemessagingdata@aotoki/n8n-nodes-line-messaging.linemessagingtrigger

作成者:daisuke