Box ExtractBox
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Quantxt TheiaQuantxt
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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
Extract data from scanned and digital documents. Process documents with any layout and complexity. Transform into a fully structured and machine-readable format. Process all your business documents automatically. Extract information from your scanned and digital documents into a structured format. Use the cleaned and structured data to derive a downstream process, store in a database or, simply, export into a spreadsheet. Go far beyond OCR and standard document parsing capabilities. Plain content extracted out of a document is not useful for most of the applications. It needs to be converted into a machine-readable format. Transform text and data embedded anywhere in your documents of any size and complexity into structured data. Bring scale and efficiency to your business. Automate data extraction and see the impact on your workflows immediately. Process a lot more documents without hiring more document scrubbers while eliminating human error.
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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
Insurance Financial analysts looking for a tool to extract data from PDFs, scanned images, HTML pages, spreadsheets and almost any document type
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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 InformationQuantxt
Founded: 2013
United States
quantxt.com
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Categories |
Categories |
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Data Extraction Features
Disparate Data Collection
Document Extraction
Email Address Extraction
Image Extraction
IP Address Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
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