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ease
features
design
support

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Description

Box Extract is an innovative data extraction tool powered by AI, designed to effectively pinpoint, gather, and transform structured data from unstructured sources, including documents, PDFs, spreadsheets, images, and various file formats into organized metadata that can be easily stored, searched, and utilized for streamlining business operations. This solution integrates advanced large language models, optical character recognition (OCR), chain-of-thought prompting, specialized retrieval-augmented generation, and reasoning techniques to achieve a deep understanding of document content and format with exceptional precision, all without the need for extensive model training or complicated configurations. Users have the option to select either Standard or Enhanced Extract Agents, which can manage everything from straightforward fields such as names and dates to intricate elements like risky clauses, tables, and graphs. Additionally, they can create Custom Extract Agents using configurable metadata templates, enabling large-scale operations across various folders and repositories. This flexibility ensures that businesses can tailor the solution to their specific needs, maximizing efficiency and effectiveness in data handling.

Description

Collect, normalize, and standardize your data from a variety of sources and formats. Ensure that all types of information, whether pertaining to businesses or individuals, are normalized, regardless of whether they are structured or unstructured. This process employs advanced supervised machine learning techniques based on neural networks to comprehend the intricacies and variations present in diverse information types while automating the data parsing. Spectrum Quality is particularly well-equipped to cater to international clients who demand comprehensive data standardization and transliteration across multiple languages, including culturally specific terms in Arabic, Chinese, Japanese, and Korean. Our cutting-edge text-processing capabilities facilitate the extraction of information from any natural language input and effectively categorize unstructured text. By utilizing pre-trained models alongside machine learning algorithms, you can identify entities and further customize your models to accurately define specific entities relevant to any domain or category, enhancing the overall flexibility and applicability of the data processing solutions we offer. As a result, clients can achieve a more refined and efficient data management and analysis process.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Box

Integrations

Box

Pricing Details

No price information available.
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

Box

Founded

2008

Country

United States

Website

www.box.com/extract

Vendor Details

Company Name

Precisely

Founded

1968

Country

United States

Website

www.precisely.com/product/precisely-spectrum-quality/spectrum-quality

Product Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

Product Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Alternatives

Alternatives