How to Extract Data from Tables with AI

The guide details how to build a multi-stage application using Roboflow Workflows and Claude, a model designed for OCR and data extraction from tables in scanned documents or images. It outlines steps to create a workflow that first classifies whether an image contains a table and then, if so, sends it to Claude for data extraction, thereby avoiding unnecessary Claude API calls for non-table images. Users need a Roboflow and Claude account with API access to follow the guide, which walks them through setting up table detection with an object detection model, configuring Claude with a custom prompt to extract table contents, and implementing logic to ensure Claude is triggered only when a table is detected. The application processes images to extract table data into a structured format and can be tested with example images, with results returned as JSON payloads. The guide emphasizes the potential for expanding the workflow to handle different content types and integrate additional features like notifications.