Introduction to Microsoft Azure Form Recognizer
Organizations used to orchestrate many AI talents, integrate business logic, and create a user interface to move between development and deployment. This took time, expertise and resources.
Azure Applied AI Services allows developers to upgrade business processes in days instead of months. These services combine Azure Cognitive Services, task-specific AI and business logic to allow you to speed up time to value for specific business situations.
When an organization needs to extract information from receipts, invoices, or other documents, it can be time-consuming and vulnerable to human error. This process can be automated to save companies time and money. However, programmatically collecting information from photos and documents is difficult and requires complex machine learning models. Azure can help you with this.
Let us understand Azure Form Recognizer in detail:
What is Azure Form Recognizer?
Microsoft Form Recognizer, a cloud-based Azure Applied AI Service, extracts key-value pairs and text from your documents using AI powered data solutions. Form Recognizer scans your documents and forms and extracts text and data. It maps field relationships to key-value pairs and returns a structured JSON output. Form Recognizer can be used to automate data processing in applications and workflows. It can also be used to enhance data-driven strategies and enhance document search capabilities.
The Form Recognizer quickly recognizes, extracts, and analyzes the following document data:
The structure and contents of the table.
Form elements and field values
Text alphanumerical, handwritten and typed
The interrelationships among the elements.
Key/value pairs
Each element’s bounding box coordinates.
v2.1 supports Form Recognizer features
Layout API – Extraction and analysis text, selection marks and table structures along with their bounding boxes coordinates from forms and documents.
Custom model – Extracting and analysing data from documents and forms specific to a business’s data and use cases.
Invoice model – Automated data processing and extraction of key information from sales invoices.
Receipt model: Automated data processing and extraction of key information from sales receipts.
ID document model – Automated data processing, extraction of key information from US drivers licenses and international passports.
Business card model – Automated data processing, extracting key information from business card.
v3.0 supports Form Recognizer features
Read – Extract text lines, words and handwritten style, if detected.
General document model – Extract text, tables and structure. Key-value pairs are also included.
Layout model – Layout API updated to a prebuilt version.
Custom model API v3.0 supports signature detection for custom template (custom form) models. It also offers a new model type Custom Neural and custom document to analyze unstructured data.
Invoice model – Automated data processing and extraction of essential information from sales invoices.
Receipt model: Receipt Model v3.0 allows for the processing of single-page hotel receipts.
ID document model – Prebuilt ID document API allows for the extraction of restrictions, endorsements, and vehicle classifications from US driver’s licenses.
Business card model – Automated data processing, extracting key information from business card.
Data Privacy and Security for Form Recognizer
Form Recognizer is committed to compliance, privacy, security, and transparency. You also have the responsibility of monitoring how technology is used and implemented.
Let’s see how we can help each other.