Box ExtractBox
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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
Easiest way to extract data points from unstructured text. Simultaneously search through research reports, prospectus, customer requests or feedback to extract, track and analyze meaningful, custom defined data points. Access 100+ unique data points for your investment & risk management strategy. Search and create custom data sets from EDGAR and other public or private sources. Streamline your deal underwriting process. Streamline your capital markets and structured finance legal flow. Instantly extract 100+ data points to categorize, compare and collaborate with your clients. Deconstruct unstructured text in PubMed and clinical trial data into diseases, genes, proteins, symptoms & more. Get all your research in a single place. Bring in research from any source into your workspaces using our Chrome plug-in. Make digital PDFs to machine readable. JSON and HTML output with detailed section hierarchy, multi-level tables, lists, header, footer and watermarks removed.
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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
Enterprises and anyone in search of a solution to extract data points from unstructured text
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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
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
Not Supported
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Company InformationBox
Founded: 2008
United States
www.box.com/extract
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Company InformationNLMatics
Founded: 2019
United States
www.nlmatics.com
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