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Average Ratings 0 Ratings

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ease
features
design
support

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Description

SigiXtract is an intelligent document processing solution designed to help organizations automate the extraction, classification, validation, and integration of data from complex business documents. The platform leverages artificial intelligence, machine learning, deep neural networks, and template-free OCR technology to understand documents in a way that goes beyond simple text recognition. Businesses can automate workflows involving invoices, purchase orders, governance and compliance documents, financial records, loan applications, and many other document types. The platform automatically classifies incoming documents, extracts relevant information, validates data, and routes it into enterprise systems for further processing. Specialized solutions such as Invoice Automation, Purchase Order Automation, and Document GRC AI help organizations improve operational efficiency while reducing manual effort. SigiXtract also supports intelligent accounts payable processing, line-item extraction, tax validation, exception management, and three-way matching workflows. Integration capabilities allow the platform to connect with ERP systems including SAP, Oracle, Microsoft Dynamics, and other enterprise applications. Human-in-the-loop verification ensures high data quality while maintaining automation benefits. SigiXtract enables organizations to process large volumes of documents faster, more accurately, and with significantly lower operational costs.

Description

Elevate your document management by efficiently scaling up and processing millions of documents throughout your organization. A universal solution for document extraction, processing, and understanding often falls short in real-world enterprise situations. To effectively harness business value from your enterprise documents, which may vary in complexity and domain, a specialized platform like XtractEdge is essential. This platform leverages sophisticated AI capabilities, utilizing a blend of multiple Machine Learning and Deep Learning techniques, alongside adaptable data management and analytics workflows. XtractEdge organizes intricate multi-document data from around the globe, preparing it for consumption to reveal hidden business opportunities. By streamlining the document extraction, processing, and comprehension pipeline, XtractEdge enables companies to accelerate their journey toward unlocking significant business advantages and efficiencies. Having such a tailored approach ensures that enterprises can respond promptly to evolving data needs and capitalize on insights swiftly.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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

Sigixtract

Founded

2018

Country

India

Website

www.sigixtract.com

Vendor Details

Company Name

EdgeVerve

Founded

2014

Country

India

Website

www.edgeverve.com/xtractedge-platform/

Product Features

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

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Alternatives

No Alternatives

Alternatives