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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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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
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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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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Categories |
Categories |
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Integrations
ArcGIS
Box
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau
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Integrations
ArcGIS
Box
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau
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