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What is Azure Form Recognizer?

Enhance your business efficiency by adopting automation for extracting information from documents. Azure Form Recognizer employs advanced machine learning strategies to accurately extract text, key-value pairs, tables, and various other formats from a wide range of documents. With just a few examples, you can tailor Azure Form Recognizer to understand and process your specific documents, whether they reside on local servers or in the cloud. This innovation swiftly converts documents into usable data, enabling you to focus on leveraging that information rather than merely collecting it. You can achieve results that align with your unique formats through automated custom extraction and improve outcomes by integrating human insights. The capability to gather data from both cloud platforms and edge locations allows for its application in search indexes, business automation workflows, and beyond. Moreover, you can rely on enterprise-grade security and privacy protocols that safeguard your data and the models you’ve developed, ensuring a secure and reliable solution for your document processing requirements. As a result, this approach not only increases operational efficiency but also encourages creative solutions and advancements within your organization. Ultimately, embracing such technology can lead to significant competitive advantages.

What is ApPost?

ApPost is a software application aimed at extracting and interpreting information from digital documents, with a key emphasis on handwritten material. It proficiently processes both structured and unstructured documents by accurately reading numeric and alphabetic data, along with handwritten text that may not have been part of its initial training; it is capable of dynamically updating and quickly refreshing its vocabulary as required. Conversely, N.I.Te focuses on advanced software technologies for the automatic handling of documents, especially handwritten ones, whether derived from still images or real-time data captured by various devices. The innovative solutions from N.I.Te can interpret handwritten text even in the absence of a predefined vocabulary, thereby overcoming challenges that many other solutions in the market encounter. Furthermore, a significant advantage of their technology lies in its ability to learn effectively from a small number of training examples, which enhances adaptability and overall performance. This adaptability and innovation place both ApPost and N.I.Te at the forefront of the rapidly advancing field of document processing software, where their respective capabilities are continuously pushing the boundaries of what's possible. As the demand for automated document processing grows, the importance of such technologies will only increase, further solidifying their positions as industry leaders.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$50 per 1,000 pages
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/form-recognizer/

Company Facts

Organization Name

Natural Intelligent Technologies

Company Location

Italy

Company Website

www.nitesrl.com

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

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