Google Drive workflows
2 results — all source-linked n8n references
Generate personalized franchise PDF letters from Excel with Google Drive and Docs
Quick overview This workflow collects an uploaded XLSX list of franchise owners via an n8n form, then uses Google Drive and Google Docs to generate a personalized letter for each row and saves the resulting PDF files back to a Google Drive folder. How it works Receives a form submission with an uploaded .xlsx file containing franchise owner details. Extracts rows from the Excel file into individual items. Iterates through each row in batches to process one franchise record at a time. Copies a Google Docs template in Google Drive and names the new document using the franchise name. Replaces placeholders in the copied Google Doc (owner, franchise, city, fee, and today’s date) with values from the current Excel row. Downloads the updated Google Doc as a PDF. Uploads the generated PDF to the target Google Drive folder and continues until all rows are processed. Setup Connect Google Drive OAuth2 credentials and set the template file ID and destination folder in the Google Drive copy/upload steps. Connect Google Docs OAuth2 credentials and ensure the template contains the placeholders (for example: [Dear Owner], [Franchise], [City], [Fee], [Date Today]). Ensure the uploaded XLSX has colu
Compare Local Ollama Vision Models for Image Analysis using Google Docs
Compare Local Ollama Vision Models for Image Analysis using Google Docs Process images using locally hosted Ollama Vision Models to extract detailed descriptions, contextual insights, and structured data. Save results directly to Google Docs for efficient collaboration. Who is this for? This workflow is ideal for developers, data analysts, marketers and AI enthusiasts who need to process and analyze images using locally hosted Ollama Vision Language Models. It’s particularly useful for tasks requiring detailed image descriptions, contextual analysis, and structured data extraction. What problem is this workflow solving? / Use Case The workflow solves the challenge of extracting meaningful insights from images in exhaustive detail, such as identifying objects, analyzing spatial relationships, extracting textual elements, and providing contextual information. This is especially helpful for applications in real estate, marketing, engineering, and research. What this workflow does This workflow: Downloads an image file from Google Drive. Processes the image using multiple Ollama Vision Models (e.g., Granite3.2-Vision, Gemma3, Llama3.2-Vision). Generates detailed markdown-based descript