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Microsoft Azure Speech to Text

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Microsoft Azure Speech-to-text from the Speech service, also known as speech recognition, enables real-time and batch transcription of audio streams i...Read more

NLP And Text Analytics
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Market Share of Microsoft Azure Speech to Text

Current Customer(s)

271

Market Share (Est.)

6.95%

Ranking

#5

Top Competitors and Alternatives of Microsoft Azure Speech to Text

The top three of Microsoft Azure Speech to Text’s competitors in the NLP And Text Analytics category are Hugging Face with 40.58%, IBM Watson Assistant with 9.85%, Azure Translator with 9.31% market share.

TechnologyDomainsMarket Share (Est.)Versus page
Hugging Face158240.58%Microsoft Azure Speech to Text vs Hugging Face
IBM Watson Assistant3849.85%Microsoft Azure Speech to Text vs IBM Watson Assistant
Azure Translator3639.31%Microsoft Azure Speech to Text vs Azure Translator
Dragon NaturallySpeaking3639.31%Microsoft Azure Speech to Text vs Dragon NaturallySpeaking
Azure Language Understanding2265.80%Microsoft Azure Speech to Text vs Azure Language Understanding
Google Cloud Speech-to-Text1353.46%Microsoft Azure Speech to Text vs Google Cloud Speech-to-Text
Azure QnA Maker1343.44%Microsoft Azure Speech to Text vs Azure QnA Maker
Sinequa1072.74%Microsoft Azure Speech to Text vs Sinequa
Google Cloud Text-to-Speech531.36%Microsoft Azure Speech to Text vs Google Cloud Text-to-Speech
IBM Watson Content Analytics441.13%Microsoft Azure Speech to Text vs IBM Watson Content Analytics
Oracle InQuira360.92%Microsoft Azure Speech to Text vs Oracle InQuira
Apache cTAKES320.82%Microsoft Azure Speech to Text vs Apache cTAKES
IBM Watson Speech-to-Text310.80%Microsoft Azure Speech to Text vs IBM Watson Speech-to-Text
Google Cloud Natural Language API310.80%Microsoft Azure Speech to Text vs Google Cloud Natural Language API
IBM Watson Knowledge Studio280.72%Microsoft Azure Speech to Text vs IBM Watson Knowledge Studio
Nuance Recognizer210.54%Microsoft Azure Speech to Text vs Nuance Recognizer
Cohere110.28%Microsoft Azure Speech to Text vs Cohere
IBM Watson Tone Analyzer110.28%Microsoft Azure Speech to Text vs IBM Watson Tone Analyzer
Nuance Text to Speech90.23%Microsoft Azure Speech to Text vs Nuance Text to Speech
Nuance Nina70.18%Microsoft Azure Speech to Text vs Nuance Nina
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Popular Comparisons

Top Competitors and Alternatives of Microsoft Azure Speech to Text

The top three of Microsoft Azure Speech to Text’s competitors in the NLP And Text Analytics category are Hugging Face with 40.58%, IBM Watson Assistant with 9.85%, Azure Translator with 9.31% market share.

Microsoft Azure Speech to Text vs Hugging Face

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Microsoft Azure Speech to Text vs IBM Watson Assistant

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Microsoft Azure Speech to Text vs Azure Translator

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Microsoft Azure Speech to Text vs Dragon NaturallySpeaking

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Microsoft Azure Speech to Text vs Azure Language Understanding

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Microsoft Azure Speech to Text vs Google Cloud Speech-to-Text

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Microsoft Azure Speech to Text vs Azure QnA Maker

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Microsoft Azure Speech to Text vs Sinequa

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Customers of Microsoft Azure Speech to Text

Around the world in 2024, over 271 companies have started using Microsoft Azure Speech to Text as NLP And Text Analytics tool.

CustomersEmployee RangeCityRegionCountrySocial Links
Ernst & Young 10,000+LondonEnglandUnited Kingdom
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City Of Los Angeles, California10,000+Los AngelesCaliforniaUnited States
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Microsoft Corporation10,000+RedmondWashingtonUnited States
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PricewaterhouseCoopers 10,000+New York CityNew YorkUnited States
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NSW Department Of Education10,000+SydneyNew South WalesAustralia
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Wipro Ltd10,000+BengaluruKarnatakaIndia
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Teleperformance SE10,000+ParisIle-de-FranceFrance
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AT&T, Inc.10,000+DallasTexasUnited States
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International Business Machines Corporation (IBM)10,000+ArmonkNew YorkUnited States
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KPMG10,000+LondonEnglandUnited Kingdom
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Microsoft Azure Speech to Text Customers by Products and Services

The top three products and services offering customers that use Microsoft Azure Speech to Text for NLP And Text Analytics are Software Development (14), Cloud Services (13), Artificial Intelligence (9).

Customers

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Microsoft Azure Speech to Text Customers by Employee Size

The majority of Microsoft Azure Speech to Text's customers for the nlp-and-text-analytics category fall in the company size of 1,000 - 4,999 employees (55 companies), 100 - 249 employees (41 companies), 20 - 49 employees (37 companies).

Employee Size

Microsoft Azure Speech to Text Customers by Geography

The top three geographies of Microsoft Azure Speech to Text for nlp-and-text-analytics are the United States with 103(48.13%), India with 28(13.08%), United Kingdom with 27(12.62%) customers respectively.

Customers

Employees of Microsoft Azure Speech to Text

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Also see other Products/Services by Microsoft Azure Speech to Text in:

NLP And Text Analytics
Predictive Analytics

FAQ

Find answers to the most often asked questions by users.

Who are the top Microsoft Azure Speech to Text competitors?

Microsoft Azure Speech to Text’s Top competitors in the nlp-and-text-analytics category are Hugging Face, IBM Watson Assistant, Azure Translator. You can view a full list of Microsoft Azure Speech to Text competitors here. 6sense uses advanced data mining and AI algorithms to track customers and competitors of Microsoft Azure Speech to Text and 40,000 other technologies on the internet. You can also compare Microsoft Azure Speech to Text and its feature with top competitors here : Microsoft Azure Speech to Text vs Hugging Face Microsoft Azure Speech to Text vs IBM Watson Assistant Microsoft Azure Speech to Text vs Azure Translator.

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What is Microsoft Azure Speech to Text customer distribution based on company size?

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What is Microsoft Azure Speech to Text market share in the nlp-and-text-analytics?

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What are the top countries that use Microsoft Azure Speech to Text?

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What are the top industries that use Microsoft Azure Speech to Text?

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Justine Lyon

Justine Lyon

Senior VP of Sales, Ally

At my previous organization we used Zoominfo and LInkedIn Navigator for contact, Bombora for intent and DiscoverOrg for account info. When I joined Ally where we use 6sense, I found it to be as valuable as all the other tools combined!

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