Google Cloud Text-to-Speech
Google Cloud Text-to-Speech enables developers to convert text to audio by applying powerful neural network models.
Market Share of Google Cloud Text-to-Speech
Current Customer(s)
104
Market Share (Est.)
1.79%
Ranking
#13
Top Competitors and Alternatives of Google Cloud Text-to-Speech
The top three of Google Cloud Text-to-Speech’s competitors in the NLP And Text Analytics category are Hugging Face with 34.37%, GitHub Copilot with 13.38%, Dragon NaturallySpeaking with 5.16% market share.
Popular Comparisons
Top Competitors and Alternatives of Google Cloud Text-to-Speech
The top three of Google Cloud Text-to-Speech’s competitors in the NLP And Text Analytics category are Hugging Face with 34.37%, GitHub Copilot with 13.38%, Dragon NaturallySpeaking with 5.16% market share.
Google Cloud Text-to-Speech vs Hugging Face
Google Cloud Text-to-Speech vs GitHub Copilot
Google Cloud Text-to-Speech vs Dragon NaturallySpeaking
Google Cloud Text-to-Speech vs Azure Language Understanding
Google Cloud Text-to-Speech vs IBM Watson Assistant
Google Cloud Text-to-Speech vs Microsoft Azure Speech to Text
Google Cloud Text-to-Speech vs Azure Translator
Google Cloud Text-to-Speech vs Google Cloud Speech-to-Text
Customers of Google Cloud Text-to-Speech
Around the world in 2025, over 104 companies have started using Google Cloud Text-to-Speech as NLP And Text Analytics tool.
| Customers | Employee Range | City | Region | Country | Social Links |
|---|---|---|---|---|---|
| The Home Depot | 10,000+ | Atlanta | Georgia | United States |     |
| NCR Voyix | 10,000+ | Atlanta | Georgia | United States | |
| University Of Michigan - Dearborn | 10,000+ | Dearborn | Michigan | United States | |
| 10,000+ | Mountain View | California | United States | | |
| University Of Waterloo | 10,000+ | Waterloo | Ontario | Canada | |
| Accenture | 10,000+ | Dublin | Leinster | Ireland | |
| XPO | 10,000+ | Greenwich | Connecticut | United States | |
| Transdev | 10,000+ | Issy-les-Moulineaux | Ile-de-France | France | |
| ING Groep N.V. | 10,000+ | Amsterdam | North Holland | Netherlands | |
| Atos | 10,000+ | Bezons | Ile-de-France | France | |
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Google Cloud Text-to-Speech Customers by Products and Services
The top three products and services offering customers that use Google Cloud Text-to-Speech for NLP And Text Analytics are Artificial Intelligence (7), Cloud Services (7), Software Development (5).
Customers
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Google Cloud Text-to-Speech Customers by Employee Size
The majority of Google Cloud Text-to-Speech's customers for the nlp-and-text-analytics category fall in the company size of 100 - 249 employees (22 companies), 10,000+ employees (20 companies), 0 - 9 employees (17 companies).
Employee Size
Google Cloud Text-to-Speech Customers by Geography
The top three geographies of Google Cloud Text-to-Speech for nlp-and-text-analytics are the United States with 45(52.94%), India with 11(12.94%), Canada with 6(7.06%) customers respectively.
Customers
Employees of Google Cloud Text-to-Speech
Also see other Products/Services by Google Cloud Text-to-Speech in:
FAQ
Find answers to the most often asked questions by users.
Who are the top Google Cloud Text-to-Speech competitors?
Google Cloud Text-to-Speech’s Top competitors in the nlp-and-text-analytics category are Hugging Face, GitHub Copilot, Dragon NaturallySpeaking. You can view a full list of Google Cloud Text-to-Speech competitors here. 6sense uses advanced data mining and AI algorithms to track customers and competitors of Google Cloud Text-to-Speech and 40,000 other technologies on the internet. You can also compare Google Cloud Text-to-Speech and its feature with top competitors here : Google Cloud Text-to-Speech vs Hugging Face Google Cloud Text-to-Speech vs GitHub Copilot Google Cloud Text-to-Speech vs Dragon NaturallySpeaking.
What is Google Cloud Text-to-Speech customer distribution based on company size?
What is Google Cloud Text-to-Speech market share in the nlp-and-text-analytics?
What are the top countries that use Google Cloud Text-to-Speech?
What are the top industries that use Google Cloud Text-to-Speech?
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