What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in text-to-speech api category. Our data sources in text-to-speech api category include;
Text-to-speech APIs, or TTS APIs, convert written texts into audio. The most common use case of these APIs is to help users with visual disabilities and cannot read texts and interpret figures easily. They also help non-disabled users who are unable to read the text on their devices in certain situations.
If you’d like to learn about the ecosystem consisting of Text-to-Speech API and others, feel free to check AIMultiple Machine Learning APIs.
AIMultiple is data driven. Evaluate 28 services based on
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calculated based on objective data.
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We use the data sources on the side for ranking solutions and awarding badges in text-to-speech api category. Our data sources in text-to-speech api category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Bandwidth Voice API
Speechmatics API
Microsoft Azure Cognitive Services Bing Speech API
Text to Speech API
Twilio Lookups API
Taking into account the latest metrics outlined below, these are the current text-to-speech api market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Bandwidth Voice API
Speechmatics API
Microsoft Azure Cognitive Services Bing Speech API
Twilio Lookups API
IBM Watson Text to Speech API
These are the number of queries on search engines which include the brand name of the solution. Compared to other Machine Learning APIs categories, Text-to-Speech API is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 95%, 7% more than the average of search queries in this area.
1,264 employees work for a typical company in this solution category which is 1,243 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 5 companies with >10 employees are offering text-to-speech api. Top 3 products are developed by companies with a total of 8k employees. The largest company building text-to-speech api is Twilio with more than 7,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
Bandwidth Voice API
Speechmatics API
Text to Speech API
Microsoft Azure Cognitive Services Bing Speech API
Twilio Lookups API
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
This data is collected from customer reviews for all Text-to-Speech API companies. The most positive word describing Text-to-Speech API is “Easy to use” that is used in 10% of the reviews. The most negative one is “Difficult” with which is used in 3.00% of all the Text-to-Speech API reviews.
According to customer reviews, most common company size for text-to-speech api customers is 1-50 Employees. Customers with 1-50 Employees make up 40% of text-to-speech api customers. For an average Machine Learning APIs solution, customers with 1-50 Employees make up 32% of total customers.
These scores are the average scores collected from customer reviews for all Text-to-Speech APIs. Text-to-Speech APIs is most positively evaluated in terms of "Customer Service" but falls behind in "Value For Money".
This category was searched on average for 1.8k times per month on search engines in 2022. This number has increased to 2.9k in 2023. If we compare with other machine learning apis solutions, a typical solution was searched 1.5k times in 2022 and this increased to 4.4k in 2023.