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How to Automate Document with Azure Form Recognizer?

Documents play a crucial role in organizational communication, but extracting information from them can be challenging. This difficulty arises because of the evolving compliance and security requirements across organizations, industries, and regions. These requirements and practices typically result in a vast collection of documents in various formats. 

If you’re eager to optimize your document management and save valuable time, you’re in for a treat. In this run over, we’ll break down the process step by step. We’ll also address key questions like how Azure Form Recognizer works and how to automate it.  

How does Azure Form Recognizer work? 

Form Recognizer, or Azure AI Document Intelligence, uses advanced machine learning model technology to extract various types of information. These document types include text, key-value pairs, line items, structures, and tables. When integrated with Azure Computer Vision API, it extracts data from various sources like images, digital PDFs, scanned documents, videos, and more. 

This technology is versatile, working at the edge, on-premises, or in the cloud. It streamlines data extraction, allowing businesses to focus on actionable insights and intelligent document management instead of data collection. 

How do you automate Form recognizer?  

To get detailed and up-to-date guidance on automating Azure Form Recognizer, you can follow these approaches: 

  1. Azure Form Recognizer Documentation: Start by visiting the official Azure Form Recognizer documentation at the following URL: Azure Form Recognizer Documentation. This documentation provides in-depth information on using Form Recognizer, including guides, tutorials, code samples, and API references. 
  2. Choose Your Development Language. Depending on your preferred programming language, select the appropriate SDK or REST API documentation from the Azure Form Recognizer documentation. 
  3. Tutorials and Quick starts: Look for tutorials or quick start guides in the documentation that match your use case. These guides often provide step-by-step guides on setting up Form Recognizer, training models, and automating document processing. 
  4. GitHub Samples: Microsoft often provides code samples and samples repositories on GitHub. You can search for these repositories related to Azure Form Recognizer to find real-world examples and automation scripts. 
  5. Azure Learning Paths: Azure offers learning paths and modules for various services, including Form Recognizer. Visit the Azure Learning Paths page (https://learn.microsoft.com/en-us/azure/paths/). Search for “Form Recognizer” to find structured learning resources. 
  6. Azure Community and Forums: Explore the Azure community and forums. You can try the Azure Q&A (https://docs.microsoft.com/en-us/answers/topics/azure-form-recognizer.html), where you can ask questions and learn from others who have experience with Form Recognizer. 
  7. Consult Azure Support: If you have an Azure subscription, you can access Azure support resources for personalized assistance and guidance. 

Which type of form recognizer model supports automated document processing?  

Microsoft Azure Form Recognizer offers different models for various types of automated document processing: 

  • Layout (Preview): The Layout model is designed to extract text, tables, and structural information from common documents. It's useful for understanding the layout and structure of documents, making it suitable for scenarios where document layout analysis is important.
  • Form: The Form model is tailored for structured forms and is used to extract key-value pairs, tables, and other structured data from documents. This model is commonly applied to process forms such as invoices, receipts, and surveys.
  • Receipt: The Receipt model is a specialized version of the Form model optimized for extracting information from receipts. It's ideal for scenarios where you need to extract data from various types of receipts, such as retail or restaurant receipts.
  • Custom: The Custom model allows you to train your own model based on your specific document layout and content. This is particularly useful when you have documents with unique layouts or formats that aren't covered by the pre-built models. You can create custom models using your own training data.

Is Microsoft Azure Free?

Microsoft Azure offers a limited free tier with several services as part of its Azure Free Account. This free tier allows users to explore and experiment with Azure services and resources without incurring charges up to certain usage limits. However, it’s important to note that not all Azure services are available for free. Usage beyond the allocated free tier limits may cost fees. 

The Azure Free Account typically includes:
  • A certain amount of free Azure credits to use within the first 12 months.
  • Access to a selection of popular Azure services with specific usage limits during the first 30 days.
  • 12 months of free, limited use of certain services like Azure Functions, App Service, and more.
  • Limited free use of services like Azure Cosmos DB, Azure Active Directory, and Azure DevOps.
  • Free access to certain developer tools and resources.

It’s essential to review the specific terms and conditions of the Azure Free Account. The availability of free services and usage limits can change over time. If the free trial or free tier usage limits exceed, standard pay-as-you-go rates will apply. 

To get started with Azure and understand the current offerings and pricing details, you can visit the official Microsoft Azure website or collaborate with a Microsoft partner.  

How to Get Started with Azure Form Recognizer? 

Microsoft Azure Form Recognizer extracts data from unstructured forms and documents. It achieves this by thoroughly analyzing the content within these documents. Compared to manual data entry, using Microsoft Form Recognizer offers huge time and effort savings, regardless of the quantity or volume of receipts. Thanks to its advanced machine-learning algorithms and user-friendly interface, extracting information from your documents becomes swift and precise. 

ECF Data is a Microsoft Gold Partner, specializing in harnessing Azure Form Recognizer services and Microsoft’s Azure Applied AI Services. Through these tools, we can streamline data extraction and transform documents into actionable information. This expertise not only enhances efficiency but also significantly reduces time and costs for our clients. 

For inquiries regarding this tool or Azure Forms Recognizer pricing, we invite you to contact our experts for a personalized consultation.  

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