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What is NLMatics?

A straightforward technique for extracting data points from unstructured text includes the simultaneous examination of research articles, prospectuses, and customer reviews to pinpoint, monitor, and evaluate important data metrics defined by users. This method grants access to more than 100 unique data points that can significantly improve your investment and risk management approaches. By sourcing and compiling tailored datasets from EDGAR alongside various public or private avenues, you can refine your underwriting of deals. Moreover, this technique can optimize legal processes within the realms of capital markets and structured finance. Instantly gather over 100 data points to facilitate better categorization, comparison, and collaboration with your clients. Breaking down unstructured text from platforms like PubMed and clinical trials allows for the organization of information into classifications like diseases, genes, proteins, and symptoms, ensuring all your findings are collected in one place. You can seamlessly integrate research from any source into your workspaces through our user-friendly Chrome plug-in, which also converts digital PDFs into machine-readable formats. In addition, you will receive outputs formatted in JSON and HTML that feature a comprehensive section hierarchy while stripping away watermarks, headers, footers, and multi-level tables to make your data more user-friendly and manageable. This all-encompassing solution not only streamlines data extraction processes but also significantly boosts your analytical proficiency, allowing for more informed decision-making. With the ability to access and manipulate data efficiently, you can drive better outcomes in your projects and initiatives.

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.

Media

Media

Integrations Supported

Google Chrome

Integrations Supported

Google Chrome

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$50 per 1,000 pages
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

NLMatics

Date Founded

2019

Company Location

United States

Company Website

www.nlmatics.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

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

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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