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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Extracting information from both scanned and digital documents is essential for modern businesses. Regardless of the layout or complexity of the documents, it is possible to convert them into an organized and machine-readable format. This automation of document processing allows for the efficient handling of all types of business documents. By transforming scanned and digital materials into a structured format, organizations can utilize this cleaned data for various downstream processes, whether that means storing it in a database or exporting it to a spreadsheet. This solution surpasses the capabilities of basic OCR and standard document parsing, as simply extracting plain text is often inadequate for many applications. Instead, it is crucial to convert text and data embedded within documents of any size into structured information. This approach not only enhances the scale and efficiency of business operations but also automates data extraction, resulting in immediate improvements in workflow. By processing a significantly larger volume of documents, businesses can reduce the need for additional personnel dedicated to document management and minimize the risk of human error. Ultimately, this transformative capability streamlines operations and drives productivity across the organization.

Description

The Green AI-driven SDK for scanning identification documents encompasses a wide range of over 1834 types, including ID cards, passports, driver’s licenses, residence permits, and visas. This eco-conscious SDK enables quick and accurate scanning on smartphones, desktops, web platforms, or servers, operating completely autonomously. It efficiently extracts data from pictures, scans, and video feeds captured by a smartphone or webcam, demonstrating resilience in various capturing environments. Importantly, the ID scanning process occurs on-device and on-premise, eliminating the need for data transfer. It features automatic recognition of machine-readable zones (MRZ) and accommodates all varieties of credit cards—embossed, indent-printed, and flat-printed—along with real-time barcode scanning for formats such as PDF417, QR code, AZTEC, and DataMatrix using the smartphone camera. The technology ensures high-quality scanning of MRZs, barcodes, and credit cards within mobile applications, regardless of lighting conditions, and supports scanning for 21 distinct payment systems, making it a versatile tool in the digital identity verification landscape. This comprehensive capability positions the SDK as a leading solution in enhancing identification processes while prioritizing environmental sustainability.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Quantinuum Nexus

Integrations

Quantinuum Nexus

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

Quantxt

Founded

2013

Country

United States

Website

quantxt.com

Vendor Details

Company Name

Smart Engines

Founded

2010

Country

Russia

Website

smartengines.com

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

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

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