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Amazon Transcribe vs Microsoft Azure Speech Service comparison

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  • "I think the price on the standard is better for Amazon Transcribe than it is for Amazon Polly."
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    Questions from the Community
    Top Answer: 
    Amazon Transcribe helps me not to fall behind in a meeting and not know what's going on. Even if I do, I have the transcript at the end to help me figure out what was said during the meeting.
    Top Answer: 
    There's such a huge hole that's missing for people with disabilities, for example, for people who just cannot see or cannot hear at all. They're not just cognitively impaired. I would love to see… more »
    Top Answer: 
    I am looking at different solutions for accessibility.
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    Ranking
    Views
    1,363
    Comparisons
    1,015
    Reviews
    2
    Average Words per Review
    457
    Rating
    7.5
    Views
    4,013
    Comparisons
    3,410
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Azure Speech Service, MS Azure Speech Service
    Learn More
    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 Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy.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.

    Easily add real-time speech-to-text capabilities to your applications for scenarios like voice commands, conversation transcription, and call center log analysis.

    Tailor your speech recognition models to adapt to users’ speaking styles, expressions, and unique vocabularies, and to accommodate background noises, accents, and voice patterns.

    Build smart apps and services that speak to users naturally with the Text to Speech service. Convert text to audio in near real time, tailor to change the speed of speech, pitch, volume, and more.

    Give your application a one-of-a-kind, recognizable brand voice using custom voice models. Simply record and upload training data, and the service will create a unique voice font tuned to your recording.

    Offer
    Learn more about Amazon Transcribe
    Learn more about Microsoft Azure Speech Service
    Sample Customers
    Echo360, VidMob, RingDNA, Isentia
    KPMG
    Top Industries
    VISITORS READING REVIEWS
    Comms Service Provider24%
    Computer Software Company22%
    Media Company10%
    Energy/Utilities Company6%
    VISITORS READING REVIEWS
    Comms Service Provider28%
    Computer Software Company21%
    Government6%
    Media Company5%

    Amazon Transcribe is ranked 1st in Speech-To-Text Services with 2 reviews while Microsoft Azure Speech Service is ranked 2nd in Speech-To-Text Services. Amazon Transcribe is rated 7.6, while Microsoft Azure Speech Service is rated 0.0. The top reviewer of Amazon Transcribe writes "A easy initial setup with good dashboards and good documentation". On the other hand, Amazon Transcribe is most compared with Google Cloud Speech-to-Text and IBM Watson Speech To Text, whereas Microsoft Azure Speech Service is most compared with Google Cloud Speech-to-Text, Amazon Polly, Google Cloud Text-to-Speech and IBM Watson Speech To Text.

    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.