Products | Position | Customer satisfaction | |||
---|---|---|---|---|---|
|
Leader
|
Low
|
|
||
Jump to Translation API demo - Translation API demo. Try the API. How AutoML Translation works.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
50m-60m followers
|
|||||
|
Leader
|
Satisfactory
|
|
||
Accurate and authentic online translation of texts into 70+ foreign languages.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100-200 employees
Company's social media followers
4k-5k followers
Company
Type of company
private
Founding year
2004
|
|||||
|
Leader
|
Satisfactory
|
|
||
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100-200 employees
Company's social media followers
5k-10k followers
Company
Type of company
private
Founding year
1997
|
|||||
|
Leader
|
Satisfactory
|
|
||
Baidu was founded in 2000 by Internet pioneer Robin Li, creator of visionary search technology Hyperlink Analysis, with the mission of providing people with the best way to find information and connect users with services.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
20k-30k employees
Company's social media followers
100k-1m followers
Total funding
$10-50m
# of funding rounds
3
Latest funding date
June 18, 2004
Last funding amount
$10-50m
Company
Type of company
public
Founding year
1999
|
|||||
|
Leader
|
N/A
|
|
||
Text mining API is aimed to developers and businesses that want to enrich their product offerings with text analysis.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
10-20 employees
Company's social media followers
2k-3k followers
Total funding
$1-5m
# of funding rounds
2
Latest funding date
May 1, 2018
Last funding amount
$1-5m
Company
Type of company
private
Founding year
2007
|
|||||
|
Challenger
|
N/A
|
|
||
AI bot that reviews your written work to find grammatical and spelling errors.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
|
|||||
|
Challenger
|
N/A
|
|
||
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
5k-10k employees
Company's social media followers
1m-2m followers
|
|||||
|
Challenger
|
N/A
|
|
||
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
1k-2k employees
Company's social media followers
50k-100k followers
Total funding
$250-500m
# of funding rounds
5
Latest funding date
May 22, 2024
Last funding amount
$250-500m
Company
Type of company
private
Founding year
2017
|
|||||
|
Challenger
|
N/A
|
|
||
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
100-200 employees
Company's social media followers
5k-10k followers
Company
Type of company
private
Founding year
2009
|
|||||
|
Challenger
|
N/A
|
|
||
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's social media followers
200-300 followers
|
“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.
Sources
AIMultiple uses these data sources for ranking solutions and awarding badges in text translation APIs:
Text Translation API Leaders
According to the weighted combination of 4 metrics





What are text translation API
customer satisfaction leaders?
Taking into account the latest metrics outlined below, these are the current text translation API customer satisfaction leaders:





Which text translation API solution provides the most customer satisfaction?
AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.
While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.
- Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
- Recency is important as products are always evolving.
- Reviews older than 5 years are not taken into consideration
- older than 12 months have reduced impact in average ratings in line with their date of publishing.
What are text translation API
market leaders?
Taking into account the latest metrics outlined below, these are the current text translation API market leaders:





Which one has collected the most reviews?
AIMultiple uses multiple datapoints in identifying market leaders:
- Product line revenue (when available)
- Number of reviews
- Number of case studies
- Number and experience of employees
- Social media presence and engagement
What are the most mature text translation APIs?
Which one has the most employees?





Which text translation API companies have the most employees?
186 employees work for a typical company in this solution category which is 163 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. 16 companies with >10 employees are offering text translation apis. Top 3 products are developed by companies with a total of 300k employees. The largest company in this domain is Google with more than 300,000 employees. Google provides the text translation API solution: Google Cloud Translation API
Insights
What are the most common words describing text translation APIs?
This data is collected from customer reviews for all text translation API companies. The most positive word describing text translation APIs is “Easy to use” that is used in 4% of the reviews. The most negative one is “Expensive” with which is used in 2% of all the text translation API reviews.
What is the average customer size?
According to customer reviews, most common company size for text translation API customers is 1-50 Employees. Customers with 1-50 Employees make up 40% of text translation API customers. For an average Machine Learning APIs solution, customers with 1-50 Employees make up 38% of total customers.
Customer Evaluation
These scores are the average scores collected from customer reviews for all text translation APIs. Text Translation APIs are most positively evaluated in terms of "Customer Service" but falls behind in "Likelihood to Recommend".
Where are text translation API vendors' HQs located?
Trends
What is the level of interest in text translation APIs?
This category was searched on average for 2.2k times per month on search engines in 2024. This number has decreased to 0 in 2025. If we compare with other machine learning apis solutions, a typical solution was searched 3.6k times in 2024 and this decreased to 0 in 2025.