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What is Zuva DocAI?

Effortlessly gather critical information across your organization with remarkable accuracy. Utilize context-aware machine learning models to efficiently pull relevant details from your documents. Our sophisticated classifiers allow you to distinguish among various business document types, such as employee contracts, leases, supply agreements, and more. Quickly identify the language of your documents, including English, Portuguese, German, and others. Furthermore, you can generate and retrieve OCR text and images from over 20 distinct file formats, including emails, Word documents, and PDFs. Take advantage of our extensive library containing more than 1000 pre-built clause and provision models, all designed by our expert team to streamline your initial setup. Zuva DocAI operates on Zuva's proprietary machine learning technology, which is relied upon by top law firms and organizations for its superior accuracy in recognizing, extracting, and analyzing document content. In addition, you are empowered to develop custom AI applications tailored to meet your specific needs, significantly boosting your operational efficiency. This holistic approach ensures that your data management processes are both comprehensive and adaptable.

What is Azure AI Document Intelligence?

AI Document Intelligence represents an innovative service that employs advanced machine learning methods to automatically and accurately pull text, key-value pairs, tables, and structured formats from a variety of documents. This advanced technology converts documents into usable data, enabling users to concentrate more on leveraging the insights rather than the monotonous job of gathering information. Users have the option to start with pre-existing models or develop personalized models tailored for their specific document categories, which can be accessed both on-premises and through the cloud via the AI Document Intelligence studio or SDK. Uncover how you can improve your business operations by integrating AI Document Intelligence for automated text extraction through an engaging webinar that features practical demonstrations of vital applications like document processing, knowledge mining, and customizing AI models for unique industry requirements. Attendees will witness the impressive ability to precisely extract text, key-value pairs, and tabular data from a diverse range of documents, such as forms, receipts, invoices, and different types of cards, all without requiring manual classification based on document type, intricate coding, or continuous maintenance. By utilizing the robust custom forms, prebuilt models, and layout APIs provided by AI Document Intelligence, organizations can enhance their information extraction workflows and realize significant improvements in operational efficiency. Additionally, this technology empowers businesses to remain agile and responsive in an increasingly data-driven environment.

Media

Media

Integrations Supported

Integrations Supported

Azure AI Services
Azure Container Instances
Azure Kubernetes Service (AKS)
Azure Local
Azure Marketplace
Crestwood Cloud
Grooper
Kubernetes
Microsoft Azure
PromptX
Qualio
Rayven
TRam Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$1.50 per 1,000 pages
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Zuva

Company Location

Canada

Company Website

zuva.ai/docai/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/ai-services/ai-document-intelligence/

Categories and Features

AI Legal

Not specified

Contract Analysis

Not specified

Data Extraction

Not specified

OCR

Not specified

Categories and Features

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