Engineering Drawing Material Extraction Workflow
An n8n workflow that reads engineering drawings sent through Telegram, uses AI vision to identify construction materials, logs them to Google Sheets, and replies with the structured result.
The Problem
As a civil engineer, preparing material lists from drawings means repetitive manual reading, identification, and documentation. When drawings arrive as images or PDFs, pulling out the relevant materials and transferring them into a structured list takes significant time.
What I Built
An n8n workflow that accepts a drawing through Telegram, retrieves the file, analyses the image with AI vision, and passes the result to a language model that identifies the construction materials. A JavaScript step structures the output, a row is appended to Google Sheets, and the processed information is sent back to the user on Telegram, creating an end-to-end document processing flow.
The Result
A manual drawing-to-material-list process becomes an automated pipeline: upload a drawing, and the identified materials are structured, recorded in a sheet, and returned without manual data entry at each step.