Compare Amazon Transcribe vs. IBM Watson Speech To Text

Amazon Transcribe is ranked 4th in Speech-To-Text Services while IBM Watson Speech To Text is ranked 3rd in Speech-To-Text Services. Amazon Transcribe is rated 0, while IBM Watson Speech To Text is rated 0. On the other hand, Amazon Transcribe is most compared with , whereas IBM Watson Speech To Text is most compared with Google Cloud Speech-to-Text and Microsoft Azure Speech Service.
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Overview

Amazon Transcribe makes it easy for developers to add speech-to-text capability to their applications. Audio data is virtually impossible for computers to search and analyze. Therefore, recorded speech needs to be converted to text before it can be used in applications. Historically, customers had to work with transcription providers that required them to sign expensive contracts and were hard to integrate into their technology stacks to accomplish this task. Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy.

Amazon Transcribe uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately. Amazon Transcribe can be used to transcribe customer service calls, to automate closed captioning and subtitling, and to generate metadata for media assets to create a fully searchable archive. You can use Amazon Transcribe Medical to add medical speech to text capabilities to clinical documentation applications.

Watson Speech to Text is a cloud-native solution that uses deep-learning AI algorithms to apply knowledge about grammar, language structure, and audio/voice signal composition to create customizable speech recognition for optimal text transcription.

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Sample Customers
Echo360, VidMob, RingDNA, IsentiaAmerican Airlines, UBank, Bitly, Eurobits
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