What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in text to speech software category. Our data sources in text to speech software category include;
Text to speech (TTS) software is a tool that leverages natural language processing and generation to convert text into audio format so that the user can listen to a text instead of reading it. By transforming text into lifelike speech, TTS software allows users to effortlessly absorb information, enjoy literature, and access content in a convenient and inclusive manner, catering to a wide range of individuals with varying reading abilities and preferences. To be categorized as text to speech tool, a product must:
Offer voice Selection: Users should have the flexibility to choose from different voices, accents, languages, and genders to suit their specific needs and preferences.
Produce high-quality speech output: The tool should produce speech that is clear, expressive, and closely resembles human speech patterns.
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Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled applications
ReadSpeaker provides lifelike online and offline text-to-speech solutions to make your products and services more engaging.
Improve user experience and accessibility for your apps by converting text to speech.
Convert written text into natural-sounding audio in a variety of languages and voices.
Google Cloud Text-to-Speech offers a selection of 100+ voices across 20+ languages and variants, enabling developers to pick the voice that works best
We use the data sources on the side for ranking solutions and awarding badges in text to speech software category. Our data sources in text to speech software category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Amazon Polly
LOVO Studio
Readspeaker
Azure Text to Speech API
IBM Watson Text to Speech
Taking into account the latest metrics outlined below, these are the current text to speech software market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Amazon Polly
LOVO Studio
Readspeaker
Azure Text to Speech API
IBM Watson Text to Speech
These are the number of queries on search engines which include the brand name of the solution. Compared to other Conversational AI categories, Text to Speech Software is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 176%, 97% more than the average of search queries in this area.
130,152 employees work for a typical company in this solution category which is 130,131 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. 7 companies with >10 employees are offering text to speech software. Top 3 products are developed by companies with a total of 700k employees. The largest company building text to speech software is IBM with more than 300,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
Amazon Polly
LOVO Studio
Readspeaker
Azure Text to Speech API
IBM Watson Text to Speech
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 Software companies. The most positive word describing Text to Speech Software is “Easy to use” that is used in 16% of the reviews. The most negative one is “Expensive” with which is used in 2.00% of all the Text to Speech Software reviews.
According to customer reviews, most common company size for text to speech software customers is 1-50 Employees. Customers with 1-50 Employees make up 64% of text to speech software customers. For an average Conversational AI solution, customers with 1-50 Employees make up 144% of total customers.
These scores are the average scores collected from customer reviews for all Text to Speech Software. Text to Speech Software is most positively evaluated in terms of "Value For Money" but falls behind in "Likelihood to Recommend".
This category was searched on average for 4.9k times per month on search engines in 2022. This number has increased to 5.2k in 2023. If we compare with other conversational ai solutions, a typical solution was searched 814 times in 2022 and this increased to 816 in 2023.