Optimize Cold Email Copy with Claude, Instantly, and Google Sheets

Generate cinematic videos from text prompts with GPT-4o, Fal.AI Seedance & Audio

Who’s it for? This workflow is built for: - AI storytellers, content creators, YouTubers, and short-form video marketers - Anyone looking to transform text prompts into cinematic AI-generated videos fully automatically - Educators, trainers, or agencies creating story-based visual content at scale --- What It Does This n8n workflow allows you to automatically turn a simple text prompt into a multi-scene cinematic video, using the powerful Fa

Build an image restoration service with n8n & Gemini AI image editing

This n8n template demonstrates how to build a simple but effective vintage image restoration service using an AI model with image editing capabilities. With Gemini now capable of multimodal output, it's a great time to explore this capability for image or graphics automation. Let's see how well it does for a task such as image restoration. Good to know At time of writing, each image generated will cost $0.039 USD. See Gemini Pricing for updated info. The model used in this workflow is geo-rest

Automate Intelligent Document Data Extraction from Google Drive into Google Sheets Using Mindee V2

Streamline your document processing by connecting MindeeV2 to Google Drive and Google Sheets. This template automatically extracts structured data from documents such as invoices, receipts, ID cards, forms, and more, then logs the key fields into a dedicated spreadsheet in real time. It is ideal for reducing manual data entry, improving accuracy, and keeping your financial or operational records consistently up to date.

Send Vonage SMS messages from new Google Sheets rows

Make will watch for new rows in a specified Google Sheets spreadsheet at regular intervals and send Vonage SMS messages to the specified number. The template uses this [example spreadsheet](https://docs.google.com/spreadsheets/d/1T8VpNVyy_4YEj9f7C3vFg3ZHE-vM5pcEQOX0e6P__Nc/edit?usp=sharing).

Automated PDF invoice processing & approval flow using OpenAI and Google Sheets

Who is this for? This workflow is ideal for: Finance teams that need to process incoming invoices faster with minimal errors Small to mid-sized businesses that want to automate invoice intake, review, and storage Operations managers who require approval workflows and centralized record-keeping What problem is this workflow solving? Manually processing invoices is time-consuming, error-prone, and often lacks structure. This workflow solves those challenges by:

Send a new Mitto SMS from new rows in a Google Sheets spreadsheet

This template periodically checks for new rows in a Google Sheets spreadsheet and sends an SMS via Mitto every time a new row is found. A sample source spreadsheet can be found [here.](https://docs.google.com/spreadsheets/d/1EMDxTGo-2rt9JfHJY9rs_pJUkmm5qbCJWXibArKl9cc/edit#gid=0) You should make a copy of it before configuring the template. The template is scheduled to run every 15 minutes. You can change this after you set up the template.

AI-powered web research in Google Sheets with GPT and Bright Data

AI-Powered Web Research in Google Sheets with Bright Data 📋 Overview Transform any Google Sheets cell into an intelligent web scraper! Type =BRIGHTDATA("cell", "search prompt") and get AI-filtered result from every website in 20 seconds. What happens automatically: - AI optimizes your search query - Bright Data scrapes the web (bypasses bot detection) - AI analyzes and filters result - Returns clean data directly to your cell - Completes in <25 seconds Cost: $0.02-0.05

Adaptive RAG strategy with query classification & retrieval (Gemini & Qdrant)

This n8n workflow implements a version of the Adaptive Retrieval-Augmented Generation (RAG) framework. It recognizes that the best way to retrieve information often depends on the type of question asked. Instead of a one-size-fits-all approach, this workflow adapts its strategy based on the user's query intent. 🌟 How it Works 1. Receive Query: Takes a user query as input (along with context like a chat session ID and Vector Store collection ID if used as sub-workflow). 2. Classify Query: First,