ITGSS Certified Technical Associate: Project Management 2025 – 400 Free Practice Questions to Pass the Exam

The Form Recognizer Service is specifically designed to extract structured data from unstructured documents, such as images of scanned forms, invoices, or receipts. It utilizes machine learning models to recognize and extract text and key-value pairs, enabling organizations to automate data entry processes and improve operational efficiency. By deploying optical character recognition (OCR) and training custom models, the service can identify and categorize various fields within documents, facilitating the transition from paper-based to digital workflows.

In contrast, the other options describe functions that do not align with the primary capability of the Form Recognizer Service. While security for digital forms, content grouping, and visual element identification are valuable tasks, they fall outside the specific focus of data extraction from images, which is the core strength of the Form Recognizer Service.