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What is AntWorks CMR+?

Acquire critical insights, deepen customer comprehension, reduce risks, foster innovation in products, increase productivity, and secure a competitive advantage. Unlike conventional systems, CMR+ transcends templating limitations; it proficiently interprets and organizes data sourced from various formats, whether it's handwriting, tables, signatures, or images, irrespective of their origin. By merging swift processing with accuracy, CMR+ enhances the quality of inferior documents to produce remarkable outcomes. It skillfully manages complexity through the use of Machine Learning and Deep Learning techniques, allowing it to understand contextual subtleties. CMR+ represents a noteworthy advancement in Intelligent Document Processing, thoughtfully crafted to handle nearly every document type. Additionally, it capitalizes on cutting-edge proprietary AI technologies, such as Deep Learning, Natural Language Processing (NLP), Machine Vision, and Machine Learning (ML), while also providing capabilities like sentiment analysis, named-entity recognition, and effective post-processing features. This all-encompassing suite not only enables organizations to optimize their document management workflows but also opens up new avenues for growth, ensuring they remain ahead in a rapidly evolving market. Ultimately, CMR+ is a transformative tool that empowers businesses to harness the full potential of their data.

What is Amazon Textract?

Amazon Textract is an advanced, fully managed machine learning service that surpasses standard optical character recognition (OCR) by automatically extracting text and information from scanned documents, such as forms and tables. In the current fast-paced business landscape, numerous organizations find themselves caught between labor-intensive manual data entry, which is both expensive and prone to mistakes, and basic OCR solutions that often require frequent manual tweaks with every form update. To overcome these tedious challenges, Textract employs cutting-edge machine learning methodologies to efficiently read and interpret a variety of document types, facilitating accurate extraction of text, forms, tables, and other data without the need for manual input or bespoke programming. By implementing Textract, companies can optimize and automate their document processing workflows, enabling them to process millions of pages within hours and significantly improving operational effectiveness. This transformation not only accelerates workflows but also minimizes the potential for human error, leading to more precise and trustworthy data management. Furthermore, as businesses increasingly embrace automation, they can redirect their focus towards strategic initiatives, fostering innovation and growth.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

AntWorks

Date Founded

2015

Company Location

Singapore

Company Website

www.ant.works/cmr/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/textract/

Categories and Features

Categories and Features

Data Extraction

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

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

OCR

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

Text Mining

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

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