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features
design
support

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Write a Review

Description

Amazon Lex is a service designed for creating conversational interfaces in various applications through both voice and text input. It incorporates advanced deep learning technologies, such as automatic speech recognition (ASR) for transforming spoken words into text, along with natural language understanding (NLU) that discerns the intended meaning behind the text, facilitating the development of applications that offer immersive user experiences and realistic conversational exchanges. By utilizing the same deep learning capabilities that power Amazon Alexa, Amazon Lex empowers developers to efficiently craft complex, natural language-based chatbots. With its capabilities, you can design bots that enhance productivity in contact centers, streamline straightforward tasks, and promote operational efficiency throughout the organization. Furthermore, as a fully managed service, Amazon Lex automatically scales to meet demand, freeing you from the complexities of infrastructure management and allowing you to focus on innovation. This seamless integration of capabilities makes Amazon Lex an attractive option for developers looking to enhance user interaction.

Description

Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety. Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS AI Services Yes 
AWS App Mesh Yes 
Amazon Web Services (AWS) Yes 
BotCore Yes 
Quickwork Yes 
AWS Lambda Yes 
Amazon CloudWatch Yes 
Amazon DynamoDB Yes 
Dimension Labs Yes 
Facebook Yes 
HubSpot CRM Yes 
HubSpot Customer Platform Yes 
Microsoft Dynamics 365 Yes 
Operata Yes 
Orange Logic OrangeDAM No 
PubNub Yes 
Rapport Yes 
Slack Yes 
Trendzact No 
XCALLY Yes 

Integrations

AWS AI Services Yes 
AWS App Mesh Yes 
Amazon Web Services (AWS) Yes 
BotCore Yes 
Quickwork Yes 
AWS Lambda No 
Amazon CloudWatch No 
Amazon DynamoDB No 
Dimension Labs No 
Facebook No 
HubSpot CRM No 
HubSpot Customer Platform No 
Microsoft Dynamics 365 No 
Operata No 
Orange Logic OrangeDAM Yes 
PubNub No 
Rapport No 
Slack No 
Trendzact Yes 
XCALLY No 

Pricing Details

Depends on usage
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
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 No 
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 Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/lex/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/rekognition/

Product Features

Chatbot

Call to Action No 
Context and Coherence No 
Human Takeover No 
Inline Media / Videos No 
Machine Learning No 
Natural Language Processing No 
Payment Integration No 
Prediction No 
Ready-made Templates No 
Reporting / Analytics No 
Sentiment Analysis No 
Social Media Integration No 

Conversational AI

Code-free Development No 
Contextual Guidance No 
For Developers No 
Intent Recognition No 
Multi-Languages No 
Omni-Channel No 
On-Screen Chats No 
Pre-configured Bot No 
Reusable Components No 
Sentiment Analysis No 
Speech Recognition No 
Speech Synthesis No 
Virtual Assistant No 

Natural Language Generation

Business Intelligence No 
CRM Data Analysis and Reports No 
Chatbot No 
Email Marketing No 
Financial Reporting No 
Multiple Language Support No 
SEO No 
Web Content 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 

Product Features

Computer Vision

Blob Detection & Analysis Yes 
Building Tools Yes 
Image Processing Yes 
Multiple Image Type Support Yes 
Reporting / Analytics Integration Yes 
Smart Camera Integration Yes 

Content Moderation

Artificial Intelligence No 
Audio Moderation No 
Brand Moderation No 
Comment Moderation No 
Customizable Filters No 
Image Moderation No 
Moderation by Humans No 
Reporting / Analytics No 
Social Media Moderation No 
User-Generated Content (UGC) Moderation No 
Video Moderation No 

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Emotion Recognition

Facial Emotions No 
Facial Expression Analysis No 
Machine Learning No 
Photo Emotions No 
Speech Emotions No 
Video Emotions No 
Written Text Emotions 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 

People Counting

API No 
Anonymous Counting No 
Benchmarking No 
Car Counting No 
Conversion Tracking No 
Data Export No 
Events Statistics No 
Heatmaps No 
Mood/Age/Gender Recognition No 
Motion Detection No 
Reporting / Analytics No 
Retail Counting No 
Staff Exclusion No 
WiFi Tracking No 
Zone / Area Monitoring No 

Session Replay

Eye Tracking No 
Form Analytics No 
Heatmaps No 
Mouse Tracking No 
Optimization Tools No 
Session Recording No 
Surveys No 
User Experience Analysis No 
User Feedback No 
Visitor Segmentation No 

Alternatives

Alternatives

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