What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in text translation api category. Our data sources in text translation api category include;
Text translation APIs convert texts from one language to another. It leverages NLP methods to understand the text and its language and translate it appropriately. A popular use case for these APIs is to translating business websites to different languages to reach more audience.
If you’d like to learn about the ecosystem consisting of Text Translation API and others, feel free to check AIMultiple Machine Learning APIs.
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We use the data sources on the side for ranking solutions and awarding badges in text translation api category. Our data sources in text translation api category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Google Cloud Translation API
DeepL Translator API
Scribendi Editing Services API
Baidu Customized Translation API
Alconost Inc.
Taking into account the latest metrics outlined below, these are the current text translation api market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Google Cloud Translation API
Scribendi Editing Services API
Baidu Customized Translation API
DeepL Translator API
Alconost Inc.
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 Translation API is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 62%, 26% more than the average of search queries in this area.
6 employees work for a typical company in this solution category which is 15 less 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. 26 companies with >10 employees are offering text translation api. Top 3 products are developed by companies with a total of 200k employees. The largest company building text translation api is Google with more than 200,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
DeepL Translator API
Google Cloud Translation API
Scribendi Editing Services API
Baidu Customized Translation API
Alconost Inc.
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 Translation API companies. The most positive word describing Text Translation API is “Easy to use” that is used in 5% of the reviews. The most negative one is “Expensive” with which is used in 2.00% of all the Text Translation API reviews.
According to customer reviews, most common company size for text translation api customers is 1-50 Employees. Customers with 1-50 Employees make up 60% of text translation api customers. For an average Machine Learning APIs solution, customers with 1-50 Employees make up 60% of total customers.
These scores are the average scores collected from customer reviews for all Text Translation APIs. Text Translation APIs is most positively evaluated in terms of "Customer Service" 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 decreased to 4.4k 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.