Box ExtractBox
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NetOwl ExtractorNetOwl
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Related Products
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About
Box Extract is an AI-powered data extraction solution that intelligently identifies, retrieves, and converts structured information from unstructured content such as documents, spreadsheets, PDFs, images, and other file types into metadata that can be stored, searched, and used to automate business processes. It combines advanced large language models, integrated OCR, chain-of-thought prompting, extraction-specific retrieval-augmented generation, and agentic reasoning techniques to understand document meaning and structure with high accuracy, without requiring custom model training or heavy configuration. Users can choose between Standard and Enhanced Extract Agents, handling everything from basic fields like names, dates, and amounts to complex items such as risky clauses, tables, and graphs, and build Custom Extract Agents with configurable metadata templates that run at scale across folders and repositories.
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About
NetOwl Extractor offers highly accurate, fast, and scalable entity extraction in multiple languages using AI-based natural language processing and machine learning technologies. NetOwl's named entity recognition software can be deployed on premises or in the cloud, enabling a variety of Big Data Text Analytics applications. With over 100 types of entities, NetOwl offers a broad semantic ontology for entity extraction that goes beyond that of standard named entity extraction software. It includes people, various types of organizations (e.g., companies, governments), several types of places (e.g., countries, cities), addresses, artifacts, phone numbers, titles, etc. This expansive named entity recognition (NER) forms the foundation for more advanced relationship extraction and event extraction. Domains include Business, Finance, Politics, Homeland Security, Law Enforcement, Military, National Security, and Social Media.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
EEnterprise IT, data, and business process teams wanting to automatically transform large volumes of unstructured content into structured, searchable, and actionable data to power workflows and analytics
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Audience
Companies and organizations searching for an AI-based natural language processing and machine learning entity extraction solution
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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Company InformationBox
Founded: 2008
United States
www.box.com/extract
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Company InformationNetOwl
Founded: 1996
United States
www.netowl.com/entity-extraction
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
ArcGIS
Not Supported
Box
Supported
Elasticsearch
Not Supported
Google Maps
Not Supported
IBM Cloud
Not Supported
Kibana
Not Supported
MarkLogic
Not Supported
Palantir Apollo
Not Supported
SolrCommerce
Not Supported
Tableau
Not Supported
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Integrations
ArcGIS
Supported
Box
Not Supported
Elasticsearch
Supported
Google Maps
Supported
IBM Cloud
Supported
Kibana
Supported
MarkLogic
Supported
Palantir Apollo
Supported
SolrCommerce
Supported
Tableau
Supported
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