Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AI Document Intelligence is an advanced AI service designed to utilize sophisticated machine learning techniques for the automatic and precise extraction of text, key-value pairs, tables, and other structural elements from various documents. By transforming documents into actionable data, users can redirect their efforts towards leveraging information rather than simply gathering it. Users have the option to begin with existing models or develop personalized models suited to their specific documents, whether on-premises or in the cloud, using the AI Document Intelligence studio or SDK. This technology enables businesses to streamline their processes through the automation of text extraction, significantly enhancing efficiency. The accompanying webinar provides practical demonstrations for essential applications, including document processing, knowledge mining, and customization of AI models for specific industries. With the capability to accurately extract text, key-value pairs, and tables from an array of document types such as forms, receipts, invoices, and cards, there is no need for manual labeling, extensive coding, or ongoing maintenance. Additionally, users can utilize custom forms, prebuilt APIs, and layout APIs offered by AI Document Intelligence to efficiently extract necessary information, propelling their operations into a new realm of productivity and innovation. This comprehensive approach allows organizations to harness the power of AI in managing their documentation seamlessly.
Description
Elevate your document management by efficiently scaling up and processing millions of documents throughout your organization. A universal solution for document extraction, processing, and understanding often falls short in real-world enterprise situations. To effectively harness business value from your enterprise documents, which may vary in complexity and domain, a specialized platform like XtractEdge is essential. This platform leverages sophisticated AI capabilities, utilizing a blend of multiple Machine Learning and Deep Learning techniques, alongside adaptable data management and analytics workflows. XtractEdge organizes intricate multi-document data from around the globe, preparing it for consumption to reveal hidden business opportunities. By streamlining the document extraction, processing, and comprehension pipeline, XtractEdge enables companies to accelerate their journey toward unlocking significant business advantages and efficiencies. Having such a tailored approach ensures that enterprises can respond promptly to evolving data needs and capitalize on insights swiftly.
API Access
Has API
API Access
Has API
Integrations
Azure AI Services
Azure Container Instances
Azure Kubernetes Service (AKS)
Azure Local
Azure Marketplace
Crestwood Cloud
Kubernetes
Microsoft Azure
Rayven
Integrations
Azure AI Services
Azure Container Instances
Azure Kubernetes Service (AKS)
Azure Local
Azure Marketplace
Crestwood Cloud
Kubernetes
Microsoft Azure
Rayven
Pricing Details
$1.50 per 1,000 pages
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/ai-services/ai-document-intelligence/
Vendor Details
Company Name
EdgeVerve
Founded
2014
Country
India
Website
www.edgeverve.com/xtractedge-platform/
Product Features
Product Features
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering