Compare Amazon Transcribe vs. IBM Watson Speech To Text

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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"We don't run into any issues with bugs or glitches."

More Amazon Transcribe Pros »

"It was easy to understand, easy to configure, and easy to use."

More IBM Watson Speech To Text Pros »

Cons
"The UX and UI could be improved on the AWS console."

More Amazon Transcribe Cons »

"The quality needs to be updated. For speech to text, support for additional languages can be included. For example, support for the large markets in Eastern Europe, such as Polish or Romanian, would be nice."

More IBM Watson Speech To Text Cons »

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Questions from the Community
Top Answer: We don't run into any issues with bugs or glitches.
Top Answer: I looked into various cloud services, and I found the pricing to be all pretty much the same AWS is pretty standard industry pricing.
Top Answer: Currently, I can't think of any features that are lacking. It does everything we need it to right now. The UX and UI could be improved on the AWS console.
Top Answer: It was easy to understand, easy to configure, and easy to use.
Top Answer: The quality needs to be updated. For speech to text, support for additional languages can be included. Support for the large markets in Central and Eastern Europe, such as Polish or Romanian, would be… more »
Top Answer: The primary use case is to translate our new files into text for customer service.
Ranking
Views
737
Comparisons
588
Reviews
1
Average Words per Review
625
Rating
8.0
Views
768
Comparisons
645
Reviews
1
Average Words per Review
342
Rating
8.0
Popular Comparisons
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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 Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy.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.

Offer
Learn more about Amazon Transcribe
Learn more about IBM Watson Speech To Text
Sample Customers
Echo360, VidMob, RingDNA, Isentia
American Airlines, UBank, Bitly, Eurobits
Top Industries
VISITORS READING REVIEWS
Computer Software Company22%
Comms Service Provider22%
Media Company13%
Manufacturing Company6%
VISITORS READING REVIEWS
Comms Service Provider33%
Computer Software Company27%
Media Company6%
Manufacturing Company6%

Amazon Transcribe is ranked 1st in Speech-To-Text Services with 1 review while IBM Watson Speech To Text is ranked 3rd in Speech-To-Text Services with 1 review. Amazon Transcribe is rated 8.0, while IBM Watson Speech To Text is rated 8.0. The top reviewer of Amazon Transcribe writes "A easy initial setup with good dashboards and good documentation". On the other hand, the top reviewer of IBM Watson Speech To Text writes "Easy to understand, configure, and use". Amazon Transcribe is most compared with Microsoft Azure Speech Service and Google Cloud Speech-to-Text, whereas IBM Watson Speech To Text is most compared with Google Cloud Speech-to-Text and Microsoft Azure Speech Service.

See our list of best Speech-To-Text Services vendors.

We monitor all Speech-To-Text Services reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.