The Ultimate n8n TemplatesLibrary & Marketplace

Discover 7000+ premium n8n templates with AI-powered generation. The largest n8n templates marketplace enabling anyone to have a running workflow in 5 minutes

Start AI Generation Browse Templates

Or browse our extensive n8n templates collection. Try the AI generator to create custom n8n templates instantly.

12145+

Templates

50+

Integrations

50k+

Downloads

Latest n8n Templates

Freshly updated automation workflows to keep your n8n stack current

View All

Transcribe audio to text via webhook with Smallest.ai speech-to-text

Quick Overview This workflow exposes a POST webhook endpoint that accepts a binary audio file, transcribes it to text using Smallest.ai speech-to-text, and returns the transcript in the same synchronous HTTP response. How it works Receives an HTTP POST request on the /transcribe-audio webhook endpoint containing an audio file as binary data. Sends the incoming binary audio (from the audio property) to Smallest.ai for speech-to-text transcription. Extracts the returned transcription and formats it into a transcript field. Responds to the original webhook request with the transcript payload. Setup Create and connect your Smallest.ai API credentials in the Smallest.ai transcription step. Activate the workflow to generate the production webhook URL and use it in your client application. Ensure your client sends the audio file as binary under the audio property when calling the webhook.

BeginnerManual Trigger

by Zain Khan

Generate branded invoice PDFs from webhook orders with PolyDoc and email

Quick overview This workflow receives an order via webhook, validates required fields, calculates invoice totals, renders a branded invoice PDF using a saved PolyDoc template, emails the PDF to the customer, and returns the same PDF in the webhook response. How it works Receives an order payload in a POST request via an n8n webhook. Validates that the order includes at least one line item and a customer email, and returns a 422 JSON error if the payload is incomplete. Calculates line totals, subtotal, tax amount, and grand total, and formats the invoice data (invoice number, dates, currency, and customer details). Uses PolyDoc to populate a saved template with the invoice data and render an A4 PDF. Sends the generated PDF to the customer by email as an attachment. Returns the generated PDF as the webhook response for immediate download. Setup Create a PolyDoc API credential in n8n and replace YOUR_TEMPLATE_ID with your saved invoice template ID from the PolyDoc dashboard. Configure an SMTP credential (or replace the email step with another provider) and set the sender address (for example, update billing@example.com). Copy the webhook URL from the webhook trigger and configure your store/checkout/CRM to POST orders to it using the expected order structure (including order.lines and order.customer.email).

BeginnerManual Trigger

Match packing list PDFs to purchase orders with docling-serve and Ollama

Quick overview This workflow checks an SFTP “pending” folder for packing list PDFs, converts them to OCR text with docling-serve, and uses Ollama (Gemma) to extract structured line items and match them to a purchase order, logging results and moving files to completed or error folders. How it works Runs every hour and lists files in the SFTP pending folder. Filters for PDFs, downloads each file from SFTP, and logs a PENDING status to an n8n Data Table. Uploads the PDF to docling-serve for OCR conversion (RapidOCR, English) and stops with an error status if conversion fails. Sends the converted Markdown text to an Ollama Gemma chat model to extract a normalized packing-list JSON (PO number, parties, and line items). Loads the matching purchase order data and cross-references PO vs packing-list SKUs and quantities to determine whether the document matches. If SKU count matches but SKU text differs, uses an Ollama-based healing step to detect likely OCR-misread SKUs, applies the corrections, and re-runs the cross-reference. Writes the final status (COMPLETED or ERROR) to the n8n Data Table and moves the PDF in SFTP into a folder named after the status (for example, completed/ or error/). Setup Create and configure an SFTP credential, and ensure the server has pending/ plus destination folders matching the workflow’s status-based paths (for example, completed/ and error/). Set up docling-serve locally (or update the HTTP endpoint) so http://127.0.0.1:5001/v1/convert/file is reachable from n8n. Configure an Ollama credential and ensure the gemma4:12b-mlx model is available on your Ollama instance. Create an n8n Data Table (or select the existing one) used as document_processor_log to store file name, status, and details. Replace the dummy purchase-order lookup with your real purchase order data source, or ensure the extracted po_number matches one of the provided sample orders. Requirements You will need a (S)FTP server setup with 3 folders: pending, completed and failed A n8n data table with 3 columns: fileName, status, details Ollama or other AI service docling-serve Customization Change the credentials for Ollama in Agent nodes. Change the credentials for FTP Nodes The move file FTP Node uses the status in lowercases as folder name. If the folder names on the (S)FTP server are not pending, completed and failed then change the set nodes in the Log status and move file section. Set your data table in all data table nodes Change docling-serve endpoint in HTTP node named "Post PDF to docling-serve" Additional info Test files can be found in the github repository of this template

Track meal nutrition from photos with LINE, Google Gemini and Google Sheets

Quick Overview This workflow receives meal photos via LINE, uses Google Gemini to estimate nutrition facts and generate advice, stores the photo in Google Drive, logs the results to Google Sheets, and replies to the user in LINE with a formatted analysis. How it works Receives a POST webhook event from LINE when a user sends a message. Checks whether the incoming LINE message contains an image and stops processing if it does not. Downloads the image content from the LINE Messaging API and sends it to Google Gemini to identify foods, estimate nutrition values, and generate health guidance. If the AI response indicates the image is not food, sends a LINE push message asking the user to submit a clearer meal photo. If the AI response is valid, parses the returned text into structured fields (food items, macros, calories, score, and advice) and calculates remaining calories based on a daily goal. Uploads the meal photo to Google Drive, appends the nutrition log (including the Drive image URL) to Google Sheets, and sends the formatted nutrition summary back to the user via LINE. Setup Create a LINE Messaging API channel, enable the webhook, and add the workflow’s webhook URL (the /MealTracker path) in the LINE Developer Console. Add your LINE Channel Access Token in the workflow configuration value used for LINE API calls. Connect Google Sheets OAuth2 credentials, create a spreadsheet with matching columns (Date, Time, Meal Type, Food Items, Calories, Protein, Carbs, Fat, Fiber, Health Score, Advice, Image URL), and set the Google Sheets document ID and sheet/tab. Connect Google Drive credentials, create a target folder for uploads, and set the Google Drive folder ID used by the upload step. Configure Google Gemini credentials/connection for the Google Gemini chat model node. Optionally adjust the daily calorie goal value in the configuration used to calculate remaining calories.

Intermediate

Send ranked freight quote PDFs with GPT-4o, Google Sheets, Gmail and PDFShift

Quick overview This workflow receives shipment requests via webhook, pulls carrier rate data from Google Sheets, uses OpenAI GPT-4o to generate a ranked HTML freight quote, converts it to a PDF with PDFShift, and emails the PDF to the customer via Gmail, with Slack alerts on workflow errors. How it works Receives a POST webhook request containing shipment details like origin, destination, weight, mode, and customer contact information. Reads rate information in parallel from three carrier tabs in a Google Sheets spreadsheet (BlueDart, DTDC, and Delhivery). Combines the carrier results and calculates per-carrier total cost based on the shipment weight. Sends the shipment and carrier data to OpenAI GPT-4o to generate a complete HTML quote page with a ranked comparison table. Converts the generated HTML into an A4 PDF file using the PDFShift API. Emails the PDF quote to the customer using Gmail with a prefilled subject and message. If the workflow fails, posts an error alert message to a Slack channel. Setup Configure the webhook path in n8n and copy the production webhook URL into the system that submits shipment requests. Add Google Sheets OAuth2 credentials and ensure the referenced spreadsheet and carrier sheet tabs (BlueDart_Rates, DTDC_Rates, Delhivery_Rates) exist and include the expected columns (for example, Rate_Per_Kg and Transit_Days). Add an OpenAI API credential for the GPT-4o step and confirm the prompt/model settings generate HTML in the expected format. Add your PDFShift API key by replacing the X-API-Key header value in the PDFShift request (and switch off sandbox mode if you want live PDFs). Add Gmail OAuth2 credentials and verify the sender mailbox and attachment settings for the outbound quote email. (Optional) Add Slack OAuth2 credentials and set the target channel for error notifications.

IntermediateManual Trigger

Verify customs shipping documents with GPT-4o-mini, Gmail and Slack

Quick overview This workflow receives shipment document text via a webhook, uses OpenAI (GPT-4o-mini) to extract key fields from the Bill of Lading, cross-checks the extracted data against Invoice and Packing List fields, then emails a compliance verdict via Gmail and sends failure alerts to Slack. How it works Receives a POST request via webhook containing submitterEmail, shipmentRef, and the plain-text Commercial Invoice, Packing List, and Bill of Lading. Uses OpenAI (GPT-4o-mini) to extract structured Bill of Lading fields into JSON, and posts a Slack alert if the extraction fails. Compares key fields across the Invoice, Packing List, and Bill of Lading (for example consignee/shipper names, ports, package counts, gross weight, HS codes, quantities, and shipping marks) and calculates a verdict and discrepancy list. Emails a “READY_TO_FILE” report via Gmail when all checks pass. Emails a “NEEDS_CORRECTION” report via Gmail with detailed mismatch explanations and check IDs when discrepancies are found. Sends a Slack message when any workflow-level error occurs so issues are visible even if the run fails early. Setup Add an OpenAI credential and ensure the OpenAI node is configured to use your model access (GPT-4o-mini). Add a Gmail OAuth2 credential and confirm the recipient field uses the incoming submitterEmail value. Add a Slack OAuth2 credential and set the target channel ID for both Slack alert steps. Copy the production webhook URL and configure your source system to POST JSON with submitterEmail, shipmentRef, invoiceText, packingText, and bolText.

BeginnerManual Trigger

Draft LinkedIn posts from RSS feeds with OpenAI, Google Sheets and Slack

Quick overview This workflow runs daily at 7am, reads an RSS feed, uses OpenAI to score articles for niche relevance and draft LinkedIn posts, then appends approved candidates to a Google Sheets review queue and notifies a Slack channel. How it works Runs every day at 7:00 AM on a scheduled trigger. Reads items from the configured RSS feed and keeps only articles published in the last 24 hours. Limits the list to the first five recent articles to reduce processing volume. Uses OpenAI to score each article’s relevance (0–10) and generate an angle and hot take in structured JSON. Filters to only the articles with relevance scores of 7 or higher. Uses OpenAI to write a 120–180 word LinkedIn draft in your specified voice based on the article, angle, and hot take. Appends the draft and metadata to a Google Sheets “Drafts” tab and posts a notification to a Slack channel for review. Setup Add OpenAI credentials for both OpenAI nodes and customize the audience/beat and voice instructions in the prompts. Add a Google Sheets OAuth credential, set the spreadsheet ID, and ensure a “Drafts” sheet exists with matching columns (Date, Angle, Status, Relevance, Draft Post, Source Link, Source Title). Add a Slack credential and replace the target channel ID used for posting the “Drafts Ready” message. Replace the RSS feed URL with your own source (and add additional RSS feed reader steps if you want multiple feeds).

BeginnerManual Trigger

Organize VNTANA showroom assets by style and color via webhook and CSV report

Quick overview This workflow receives a VNTANA showroom event (or a manual UUID) via webhook, fetches the showroom, validates naming and metadata rules, reorganizes products into ordered groups, updates the showroom in VNTANA, and returns a CSV report of the new layout. How it works Receives a POST webhook containing either a showroomUuid field or a VNTANA showroom event payload with showroom.uuid. Validates and extracts the showroom UUID from the request body. Calls the VNTANA API to fetch the full showroom details and product list. Enforces organization rules by requiring a Style attribute on every product, a _.ext filename pattern, and unique color codes within each style group, then builds grouped and sorted ordering data. Updates the same showroom in VNTANA by writing the computed groups and per-product order back via the API. Generates a CSV “receipt” listing each asset UUID, name, assigned group, and order, and returns it as a downloadable file in the webhook response. Setup Create and configure a VNTANA API credential in n8n and assign it to the VNTANA API requests. Ensure showroom assets in VNTANA have a non-empty Style attribute and follow the _.ext naming pattern with unique color codes per style. If triggering from VNTANA, register a VNTANA webhook that POSTs the showroom event to this workflow’s webhook URL, or manually POST { "showroomUuid": "..." } to test.

BeginnerManual Trigger

Why Choose Us?

AI-Powered n8n Templates

GPT-4 powered intelligent engine that generates custom n8n templates from simple descriptions

Premium Quality n8n Templates

Every n8n template is tested and verified to ensure reliability and practical automation value

One-Click Import

Support one-click import to n8n, start using immediately

Ready to Get Started?

Start using AI to generate n8n templates now, or explore our comprehensive n8n templates library with 7000+ proven workflows

Start AI Generation Browse Templates