Azure Translator

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Azure Translator is a cloud-based machine translation service that extends the reach of apps in more than 60 languages.

Top Competitors and Alternatives of Azure Translator

The top three of Azure Translator’s competitors in the NLP And Text Analytics category are Hugging Face with 18.88%, Dragon NaturallySpeaking with 15.74%, IBM Watson Assistant with 13.94% market share.

Technology Domains Market Share Versus page
Hugging Face 554 18.88% Azure Translator vs Hugging Face
Dragon NaturallySpeaking 462 15.74% Azure Translator vs Dragon NaturallySpeaking
IBM Watson Assistant 409 13.94% Azure Translator vs IBM Watson Assistant
Sinequa 329 11.21% Azure Translator vs Sinequa
Azure QnA Maker 162 5.52% Azure Translator vs Azure QnA Maker
Azure Language Understanding 157 5.35% Azure Translator vs Azure Language Understanding
Google Cloud Speech-to-Text 74 2.52% Azure Translator vs Google Cloud Speech-to-Text
Microsoft Azure Speech to Text 74 2.52% Azure Translator vs Microsoft Azure Speech to Text
Google Cloud Natural Language API 68 2.32% Azure Translator vs Google Cloud Natural Language API
IBM Watson Content Analytics 60 2.04% Azure Translator vs IBM Watson Content Analytics
Oracle InQuira 58 1.98% Azure Translator vs Oracle InQuira
Google Cloud Text-to-Speech 48 1.64% Azure Translator vs Google Cloud Text-to-Speech
IBM Watson Knowledge Studio 41 1.40% Azure Translator vs IBM Watson Knowledge Studio
Apache cTAKES 40 1.36% Azure Translator vs Apache cTAKES
IBM Watson Speech-to-Text 39 1.33% Azure Translator vs IBM Watson Speech-to-Text
Nuance Recognizer 35 1.19% Azure Translator vs Nuance Recognizer
IBM Watson Tone Analyzer 14 0.48% Azure Translator vs IBM Watson Tone Analyzer
Nuance Text to Speech 13 0.44% Azure Translator vs Nuance Text to Speech
Nuance RadWhere 10 0.34% Azure Translator vs Nuance RadWhere
Nuance SpeechMagic 4 0.14% Azure Translator vs Nuance SpeechMagic

    Top Competitors and Alternatives of Azure Translator

    The top three of Azure Translator’s competitors in the NLP And Text Analytics category are Hugging Face with 18.88%, Dragon NaturallySpeaking with 15.74%, IBM Watson Assistant with 13.94% market share.

    Customers of Azure Translator

    Around the world in 2023, over 263 companies have started using Azure Translator as NLP And Text Analytics tool.

    Customers Employee Range City Region Country Social Links
    Volkswagen 10,000+ Wolfsburg Lower Saxony Germany
    KPMG 10,000+ New York City New York United States
    Pearson Plc 10,000+ London England United Kingdom
    Harman 10,000+ Stamford Connecticut United States
    Microsoft Corporation 10,000+ Redmond Washington United States
    Beiersdorf AG 10,000+ Hamburg Hamburg Germany
    Wipro Ltd 10,000+ Bengaluru Karnataka India
    Chevron Corporation 10,000+ San Ramon California United States
    YPF SA 10,000+ Buenos Aires Buenos Aires F.d. Argentina
    Wistron Corporation 10,000+ Taipei Taiwan Taiwan

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    Azure Translator Customers by Industry

    The three top industries that use Azure Translator for NLP And Text Analytics are Business Intelligence (15), Cloud (15), Artificial Intelligence (14).

    Azure Translator Customers by Employee Size

    The majority of Azure Translator’s customers for the nlp-and-text-analytics category fall in the company size of 10,000+ employees (57 companies), 20 - 49 employees (51 companies), 100 - 249 employees (43 companies).

    Azure Translator Customers by Geography

    The top three geographies of Azure Translator for nlp-and-text-analytics are the United States with 130(47.10%), India with 36(13.04%), United Kingdom with 15(5.43%) customers respectively.

    Employees of Azure Translator

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    FAQ

    Find answers to the most often asked questions by users.

    Who are the top Azure Translator competitors?

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

    What is Azure Translator customer distribution based on company size?

    The majority of Azure Translator’s customers for the nlp-and-text-analytics category fall in the company size of 10,000+ employees (57 companies), 20 - 49 employees (51 companies), 100 - 249 employees (43 companies). You can view a distribution chart of Azure Translator customers by company size here.

    What is Azure Translator market share in the nlp-and-text-analytics?

    Azure Translator has market share of 9.40% in nlp-and-text-analytics market. Azure Translator competes with 23 competitor tools in nlp-and-text-analytics category. The top alternatives for Azure Translator nlp-and-text-analytics tool are Hugging Face with 18.88%, Dragon NaturallySpeaking with 15.74%, IBM Watson Assistant with 13.94% market share.

    What are the top industries that use Azure Translator?

    Top industries that use Azure Translator for nlp-and-text-analytics are Business Intelligence (15), Cloud (15), Artificial Intelligence (14).

    What are the top countries that use Azure Translator?

    Around the world in 2023, over 263 companies have started using Azure Translator as nlp-and-text-analytics tool. Companies using Azure Translator for nlp-and-text-analytics are majorly from United States with 130 customers. 47.10% of Azure Translator customers are from the United States. Other top countries using Azure Translator are India and United Kingdom with 36(13.04%) and 15(5.43%) customers respectively.

    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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