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Amazon Lex

AWS conversational AI service

Overview

What Amazon Lex does

Amazon Lex is a fully managed conversational AI service that allows developers to build sophisticated, natural language chatbots using deep learning technologies.

What people use it for

  • Building conversational chatbots leveraging Alexa deep learning engine
  • Voice and text-based NLU applications requiring automatic speech recognition
  • Custom conversational interfaces integrated into existing applications

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Amazon Lex.

  • Pay-as-you-go model with no standard free tier, only AWS free credits for new customers (6 months, $200 limit)
  • Speech requests cost $0.004 each, text requests $0.00075 each, training costs $0.50 per minute
  • Variable costs can accumulate quickly for high-volume applications

Capabilities

Features

  • Speech recognition

    Speech recognition capability

  • Natural language understanding

    Natural language understanding capability

  • Voice and text

    Voice and text capability

  • Lambda integration

    Lambda integration capability

  • AWS services

    Integration with AWS services

  • Lambda

    Integration with Lambda

  • DynamoDB

    Integration with DynamoDB

  • SNS

    Integration with SNS

  • Web support

    Available on Web

  • Mobile support

    Available on Mobile

  • Voice devices support

    Available on Voice devices

  • Contact centers support

    Available on Contact centers

Behind it

Who makes Amazon Lex

Company
Amazon Web Services
Based in
Seattle, Washington, USA

Keep looking

Where to go from Amazon Lex

Other Live Chat Chatbots software

Softwr does not host reviews and shows no star rating for Amazon Lex, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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