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features
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support

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Description

Amazon Textract is a sophisticated, fully managed machine learning service that goes beyond basic optical character recognition (OCR) to automatically extract text and data from scanned documents, including forms and tables. In today's fast-paced business environment, many organizations rely on either time-consuming manual data entry, which is both costly and error-prone, or on basic OCR software that requires frequent manual adjustments whenever forms are updated. To eliminate these cumbersome processes, Textract leverages advanced machine learning techniques to swiftly read and analyze various document types, delivering precise extraction of text, forms, tables, and additional data without necessitating any manual input or custom programming. By using Textract, businesses can streamline and automate their document processing tasks, allowing them to handle millions of pages in just a matter of hours, significantly enhancing operational efficiency. This shift not only saves time but also reduces the likelihood of human error, paving the way for more accurate and reliable data handling.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS AI Services Yes 
AWS App Mesh Yes 
Amazon Augmented AI (A2I) Yes 
Amazon Quick Suite Yes 
Bika.ai Yes 
Camunda Yes 
Datasaur Yes 
FormKiQ Yes 
Kognitos Yes 
Mantium Yes 
n8n Yes 

Integrations

AWS AI Services No 
AWS App Mesh No 
Amazon Augmented AI (A2I) No 
Amazon Quick Suite No 
Bika.ai No 
Camunda No 
Datasaur No 
FormKiQ No 
Kognitos No 
Mantium No 
n8n No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/textract/

Vendor Details

Company Name

Smart Engines

Founded

2010

Country

Russia

Website

smartengines.com

Product Features

Data Extraction

Disparate Data Collection No 
Document Extraction No 
Email Address Extraction No 
IP Address Extraction No 
Image Extraction No 
Phone Number Extraction No 
Pricing Extraction No 
Web Data Extraction No 

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

OCR

Batch Processing No 
Convert to PDF No 
ID Scanning No 
Image Pre-processing No 
Indexing No 
Metadata Extraction No 
Multi-Language No 
Multiple Output Formats No 
Text Editor No 
Zone Selection Tool No 

Text Mining

Boolean Queries No 
Document Filtering No 
Graphical Data Presentation No 
Language Detection No 
Predictive Modeling No 
Sentiment Analysis No 
Summarization No 
Tagging No 
Taxonomy Classification No 
Text Analysis No 
Topic Clustering No 

Product Features

Data Extraction

Disparate Data Collection No 
Document Extraction No 
Email Address Extraction No 
IP Address Extraction No 
Image Extraction No 
Phone Number Extraction No 
Pricing Extraction No 
Web Data Extraction No 

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Alternatives

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