Form Analysis Using Document Intelligence

In this lesson, explore the powerful capabilities of Azure's Document Intelligence for analyzing forms. Whether working with PDFs or images, this cutting-edge service automates data entry and minimizes manual processing for documents such as invoices, receipts, and ID cards.

Pre-trained Models

Azure offers a suite of pre-trained models optimized for common document types including invoices, receipts, and ID cards. These models are designed for rapid deployment, enabling you to quickly extract key information from frequently used forms.

The image shows a presentation slide about form analysis using document intelligence, featuring a receipt example and mentioning pre-trained models for extracting information from scanned forms like invoices and ID cards.

Custom Models

For organizations with unique document requirements, Azure provides the ability to train custom models tailored to your specific forms. Custom models enhance both accuracy and relevance by focusing on the exact data fields that are critical to your business.

Note

Custom models are ideal for specialized documents that fall outside the scope of common form types, ensuring precise data extraction.

Semantic Recognition of Form Fields

Beyond basic text extraction, Azure's models incorporate semantic recognition, allowing them to understand the context and meaning behind the data. For example, when a form includes fields such as "Total Amount Due" or "Customer Name," the model not only retrieves the text but also interprets its significance, adding an extra layer of intelligence to the extraction process.

The image illustrates form analysis using document intelligence, highlighting semantic recognition of form fields with an example of a receipt. It explains how models understand the context and meaning of data beyond simple text extraction.

Summary

Azure Document Intelligence streamlines the form analysis process by supporting both standard forms with pre-trained models and specialized documents through custom models. By integrating semantic context into data extraction, it delivers highly accurate and meaningful outputs, effectively reducing the need for manual review.

Additionally, the Azure Document Intelligence Studio offers an interactive environment to explore various document analysis services, allowing you to evaluate its capabilities before a more in-depth deployment.

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