Workflow Templates

Workflow Overview: Extract text from image using AI is worth because you need no code. It incorporates Google Gemini 2.0 Flash model for important text extraction from image. If you code without AI, you have to use multiple condition and may cause a lot of bug but with Google Gemini, you don't need any coding and if the Pay Slip is different, Gemini will extract it automatically. Workflow description: User uses Line Messaging API to send Pay Slip image or message to the chatbot, create Line Business ID from here: Line Business Classify the message which is image or text If the message is Pay Slip image, it will process using Gemini 2.0 Flash EXP and extract important information and response in JSON format without coding by using the following prompt: Analyze image and then return in JSON Response that has the only following value: Status, From, To, Date, Amount To get Google AI Studio API Key, you can find from the following link: Google AI Studio API Key Create Google Sheets which include the fileds (Status, From, To, Date, Amount) that we have created related to the AI prompt Google Sheets as the following example: If the message is text, it will process using Gemini 2.0 Flash EXP model as the AI Assistant else if the message is image, it will extract the important fields then reply to the User and insert into Google Sheets Key Features: Extract text from image with No Code** Without N8N, we have to write code to extract text from image, but with N8N and Google Gemini 2.0 Flash EXP together, we don't need to code and it will process all slip vendors or other document vendors. Multipurpose Chatbot** this chatbot accept both text and image so we don't have to create many chatbot accounts Reduce human error** this workflow let any officer to verify document status when the job ends Note: You can change the information by changing your prompt and also Google Sheets Column names relatively.

This n8n workflow demonstrates how to build an automated AI chat system using OpenRouter.ai. It includes a manual trigger, sets a model and user message, sends a POST request to the OpenRouter chat API, and summarizes the response. Workflow Steps: Manual Trigger – Starts the workflow when executed manually. Set Node – Defines: Model: mistralai/mistral-small-3.2-24b-instruct:free Message: What is the meaning of life? HTTP Request – Sends a POST request to https://openrouter.ai/api/v1/chat/completions using Bearer Token Authentication with the model and message as JSON. Summarize – Extracts and summarizes the AI’s response (choices[0].message.content). Use Cases: AI chatbot automation Content summarization Testing AI prompts in real-time Educational demos using OpenRouter.ai Lightweight conversational tools with no external server

Deadlock Match Stats Bot is an automated workflow for n8n designed to send detailed player statistics from the most recent Deadlock match directly to Telegram. When the user sends the /match command to the Telegram bot, the workflow performs the following steps: Loads the HTML content of the player's profile page from deadlocktracker.gg using a preconfigured Steam ID. Extracts the most recent match ID using a regular expression from the embedded JavaScript data. Loads the HTML page for the specified match. Parses the match page using cheerio to extract relevant data for each player, including their nickname, selected hero, and current rank. Formats the collected information into a single message and sends it to the Telegram chat that issued the command.

📬 N8N Contact Form Workflow: Capture, Notify via Email, and Redirect with Confirmation/Error Handling This n8n workflow facilitates contact form submissions through a customizable form that sends an email notification to support and redirects users based on the submission outcome. It is ideal for embedding a functional "Contact Us" form on websites with automated email notifications. ✨ Features Collects first name, last name, email, company name, and a message Sends formatted email notification to the support team Displays success or error confirmation to the user Customizable UI and form behavior Error fallback handling with user-friendly feedback 🧩 Nodes Overview 1. On form submission (Trigger) Type:** formTrigger Displays the contact form to users and triggers the workflow on submission. 2. Send Email to Support Type:** emailSend Sends an HTML email to a support address with the form details. Uses an SMTP credential for sending. 3. If Email Sent Type:** if Checks if the email was sent successfully using the existence of messageId. 4. Confirmation Form Type:** form Displays a “Thank You” HTML message after a successful submission. 5. Redirect Form Type:** form Redirects the user to a specified URL (e.g., LinkedIn profile). 6. Form (Error) Type:** form Displays an error message if email delivery fails. 7. NoOp Nodes End (Success)* and *End (Error)** to mark flow terminations cleanly. ⚙️ Customization Options Change the form fields, title, or descriptions in the formTrigger node. Update the email body or subject in the emailSend node. Redirect to a different URL by editing the Redirect Form node. Modify success and error UI with HTML content in the Confirmation Form and Form. 🧠 Use Cases Website "Contact Us" form integration Lead generation forms for businesses Customer service inquiry collection Feedback or support ticket system 🚀 How to Use Import this workflow into your n8n instance. Configure SMTP credentials for the emailSend node. Publish the formTrigger endpoint (e.g., /contact-us) publicly or embed in your website. Test submission and confirm email delivery and redirects. 🔐 Notes Ensure SMTP credentials are correctly configured in n8n. Make sure your n8n webhook URLs are reachable from your website or frontend. Made with ❤️ using n8n by Akhil.

Purpose of this Template: This template will help us combine multiple RSS sources, curate the content, and send the result to a Telegram channel for easy access. How it Works: We start with two RSS sources from which we primarily want to extract the title, link, and publication date. The workflow will periodically query both sources and use regular expressions and some JavaScript to edit several fields until we have the desired data in the proper format. Once the sources are formatted, we will combine them using the "Merge" node. Since the workflow will run twice a day, we will discard items older than two days. This will be achieved using a "Filter" node. A "Sort" node will arrange the items by publication date so that the most recent ones appear first. To create a flat list in "Markdown" format from the resulting items, we will use a small JavaScript function. This function must escape special characters to ensure they are correctly interpreted. Finally, the list will be sent to the appropriate channel using a "Telegram" node. Configuration Instructions: When opening the workflow for the first time, configure the Telegram credential. In the "RSS" nodes, insert the URLs of the sources to query. In the "Edit Fields" nodes we will have to adjust the regular expressions to obtain the desired result based on our RSS sources. In this case the expressions have been adjusted to obtain the name, size and link of each published file. In the "Sort" node we can modify the maximum age of the elements that we are going to send. In this case, 2 days have been included (2 * 24 * 60 * 60 * 1000 milliseconds) since it is necessary to take into account that Telegram has a maximum message length and if we exceed it, it will return an error instead of sending it. Lastly, include the channel ID in the "Telegram" node where the messages will be sent. Template was created in n8n v1.72.1

This workflow automatically fetches newly uploaded files from a specific folder in Google Drive, shares them via email with specified recipients, and logs the file details (name, ID, created time, modified time) into Airtable for easy tracking. It streamlines the process of file sharing and management while keeping track of important metadata in a central place. Step-by-Step Instructions Google Drive Node (Fetch New File) Action: This node fetches newly uploaded files from the specific folder you’ve mentioned in your Google Drive. Configuration: Set the folder ID in the Google Drive node where the files are uploaded. Use the “New File in Folder” trigger to automatically detect new files added to the folder. Send Email Node (Share File via Email) Action: After detecting the new file, this node shares the file via email with the recipient you specify. Configuration: Set the recipient's email address. Include the file URL from the Google Drive node in the email body, allowing easy access to the file. Add the file name as part of the email subject or body to notify the recipient about the new file. Airtable Node (Store File Metadata) Action: This node stores the file’s metadata, such as name, ID, creation time, modification time, and the email address to which it was sent, in your Airtable database. Configuration: Set up Airtable with a table. Map the output from the Google Drive node to store the file metadata, and use the email address from the email node for tracking. About WeblineIndia WeblineIndia specializes in delivering innovative and custom AI solutions to simplify and automate business processes. If you need any help, please reach out to us.

What this workflow does This workflow retrieves Google Analytics data from the last 7 days and the same period in the previous year. The data is then prepared by AI as a table, analyzed and provided with a small summary. The summary is then sent by email to a desired address and, shortened and summarized again, sent to a Telegram account. This workflow has the following sequence: time trigger (e.g. every Monday at 7 a.m.) retrieval of Google Analytics data from the last 7 days assignment and summary of the data retrieval of Google Analytics data from the last 7 days of the previous year allocation and summary of the data preparation in tabular form and brief analysis by AI. sending the report as an email preparation in short form by AI for Telegram (optional) sending as Telegram message. Requirements The following accesses are required for the workflow: Google Analytics (via Google Analytics API): Documentation AI API access (e.g. via OpenAI, Anthropic, Google or Ollama) SMTP access data (for sending the mail) Telegram access data (optional for sending as Telegram message): Documentation Feel free to contact me via LinkedIn, if you have any questions!

🎬 Social Media Content Generator Workflow Overview Automated social media content creation from video transcripts 🎯 Trigger: Airtable Webhook Action**: Receives webhook from Airtable automation Data**: RecordId and action type (e.g., "post-ig") Purpose**: Starts the content generation pipeline 📊 Step 1: Fetch Record Node**: Airtable (Get Record) Action**: Retrieves full record data using RecordId Data**: Name, transcript, and other fields 📁 Step 2: Create Google Drive Folder Node**: Google Drive (Create Folder) Action**: Creates blue folder in /tutorials directory Name**: Uses record Name field Updates**: Stores folder ID back to Airtable 🤖 Step 3: AI Content Analysis Node**: AI Agent with Google Gemini 2.5 Flash Input**: Video transcript from Airtable Structured Output**: JSON with all social formats: YouTube title & description YouTube thumbnail text Twitter thread (array) LinkedIn post Instagram caption TikTok caption YouTube Shorts caption Relevant tags 💾 Step 4: Save Transcript File Node**: Google Drive (Create from Text) Action**: Saves transcript as text file Location**: Inside the created folder Name**: Uses record Name field 📋 Step 5: Update Airtable Results Node**: Airtable (Update Record) Data**: All AI-generated social media content Special**: Twitter thread array joined with newlines 🎯 Result: Complete social media content suite ready for multi-platform publishing, organized in Google Drive with all data stored in Airtable.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This automated n8n workflow streamlines the process of screening CVs and validating candidate information using AI and email parsing. The system listens for new emails with CV attachments, extracts and processes the data, and either saves valid CVs to a target directory or notifies HR of invalid submissions. Good to Know The workflow improves efficiency by automating CV screening and validation. Ensures only CVs with essential fields (e.g., name, email, skills) are processed further. Email notifications alert HR to incomplete or invalid CVs for timely follow-up. The system pauses until all CV data is fully loaded to avoid processing errors. How It Works Trigger on New CV Email - Detects new emails with CV attachments. Extract Text from PDF CV - Parses content from attached PDF files. Ensure All CV Data Loaded - Waits until all data is ready for processing. Parse & Structure CV Information - Extracts structured details like name, skills, and experience using AI or custom logic. Check CV for Required Fields - Verifies the presence of essential fields (e.g., name, email, skills). Save Valid CV to Folder - Stores successfully validated CVs into a target directory. Notify HR of Invalid CV - Sends an email alert for incomplete or invalid CVs. Data Sources The workflow processes data from email attachments: CV PDF Files** - Contains candidate information in PDF format. How to Use Import the workflow into n8n. Configure email account credentials for monitoring new CV emails. Set up a target directory for storing validated CVs. Test with sample CV PDFs to verify extraction and validation. Adjust AI or custom logic based on specific required fields. Monitor email notifications for invalid CVs and refine the process as needed. Requirements Email account access with IMAP/POP3 support. PDF parsing capabilities (e.g., OCR or text extraction tools). AI or custom logic for data extraction and validation. A target directory for storing validated CVs. Customizing This Workflow Modify the "Check CV for Required Fields" node to include additional required fields (e.g., education, certifications). Adjust the email notification format to include more details about invalid CVs. Integrate with HR software for seamless candidate tracking. Details The workflow ensures efficient CV screening by automating repetitive tasks. Notifications help maintain a high-quality candidate pool by addressing issues early.

IP Reputation Check & Threat Summary using Splunk + VirusTotal + AlienVault + n8n This workflow automates IP reputation analysis using Splunk alerts, enriches data via VirusTotal and AlienVault OTX, and generates actionable threat summaries for SOC teams — all without any coding. What It Does When a Splunk alert contains a suspicious IP: Ingests the IP** from the Splunk alert via webhook. Performs dual threat enrichment** using: VirusTotal IP reputation & tags. AlienVault OTX pulses, reputation & WHOIS. Merges & processes** threat intel data. Generates a rich HTML summary** for analyst review. Routes action based on severity**: Sends Slack alert for suspicious IPs. Creates an incident in ServiceNow. Emails a formatted HTML report to the SOC inbox. Tech Stack Used Splunk** – SIEM alert source VirusTotal API** – Reputation check & analysis stats AlienVault OTX API** – Community threat intel & pulse info n8n** – For orchestration, merging, summary generation Slack, Gmail, ServiceNow** – For SOC notifications and ticketing Ideal Use Case Perfect for security teams wanting to: Automatically validate IP reputation from SIEM logs Get quick context from multiple threat feeds Generate email-ready reports and escalate high-risk IPs Included Nodes Webhook (Splunk) Function nodes for IOC extraction and intel processing HTTP Request (VirusTotal & AlienVault) Merge + Switch nodes for conditional logic Gmail, Slack, ServiceNow integration Tips Add your VirusTotal and AlienVault credentials in n8n's credential manager. Use the Switch node to route based on your internal threat score logic. Easily extend this to include AbuseIPDB or GreyNoise for deeper enrichment.

This workflow provides automated access to the Fire Part Crafter AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Fire Part Crafter model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: PartCrafter is a structured 3D mesh generation model that creates multiple parts and objects from a single RGB image. Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Fire/part-crafter AI model Fire Part Crafter**: The core AI model for image generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Image Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Content Creation**: Generate unique images for blogs, social media, and marketing materials Design Prototyping**: Create visual concepts and mockups for design projects Art & Creativity**: Produce artistic images for personal or commercial use Marketing Materials**: Generate eye-catching visuals for campaigns and advertisements Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #imagegeneration #aiart #texttoimage #visualcontent #aiimages #generativeart #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

Use case If you have a form where potential leads reach out, then you probably want to analyze those leads and send a notification if certain requirements are met, e.g. employee number is high enough. MadKudu is built exactly to solve this problem. We use it along with Hunter to alert on Slack for high quality leads. How to setup Add you MadKudu, Hunter, and Slack credentials Set the Slack channel Click the Test Workflow button, enter your email and check the Slack channel Activate the workflow and use the form trigger production URL to collect your leads in a smart way How to adjust this template You may want to raise or lower the threshold for your leads, as you see fit.