Document Translation uses machine learning and natural language processing (NLP) techniques to identify and translate text from one language to another without the need for human intervention. Document Translation API typically supports multiple languages and can handle various file types, including text files, documents, spreadsheets, presentations, and more.
By integrating Document Translation API into their applications, businesses can provide multilingual support to their customers and reach a broader audience, helping streamline communication between international teams and improve collaboration across borders.
You can use Document Translation in numerous fields, here are some examples of common use cases:
These are just a few examples of Document Translation APIs uses case, it can be used in any industry or field, making multilingual communication more accessible and improving workflow efficiency.
While comparing Document Translation APIs, it is crucial to consider different aspects, among others, cost security and privacy. Document Translation experts at Eden AI tested, compared, and used many Document Translation APIs of the market. Here are some actors that perform well (in alphabetical order):
AWS provides Amazon Translate, a neural machine translation service that utilizes deep-learning technologies to deliver fast, high-quality, and affordable translations between a broad range of supported languages. One of the main benefits of Amazon Translate is its continually trained machine translation engine, which has been extensively trained on various types of content across different domains to produce accurate translations that meet the needs of any industry.
DeepL's API is based on a neural network architecture which produces translations that are both accurate and natural-sounding. The solution is easy-to-use and integrates seamlessly with existing workflows, making it a popular choice for developers looking to improve their multilingual content offerings. In addition, DeepL supports a wide range of languages, including many that are difficult to translate using traditional methods.
Google’s service enables businesses to translate their documents quickly and accurately using Google's state-of-the-art machine learning technology. The API supports a wide range of languages and document formats, including Microsoft Office, PDF, and HTML. Additionally, their technology is fully customizable, allowing businesses to tailor the translation output to their specific needs. Google Cloud’s Translation API also ensures enterprise-grade security and compliance including encryption and access controls, making it a trusted choice for businesses that require high levels of data security.
By leveraging Microsoft's vast experience in NLP and machine learning, Azure Translator is able to produce translations that are accurate and contextually relevant, capable of translating text in over 90 languages.
With a simple REST API, developers can easily integrate translation functionality into their existing applications, and customize the translation process to suit their specific needs. Additionally, Azure Translator offers a range of features, such as language detection, batch translation, and translation memory, making it a flexible tool.
Using machine translation technology, SAP's Document Translation service provides users with high-quality and contextually relevant translations. The API particularly offers a solution to optimize document lengths with a synchronous API for short documents (up to 40,000 characters) and an asynchronous API for longer documents (up to 2,500,000 characters). The translation is returned to users on completion or can be retrieved within three days after the translation was completed.
Systran's API is a comprehensive language translation solution that provides users with fast and accurate document translation services, powered by machine learning and neural network technologies. Their technology supports over 55 languages, andcan translate a variety of document types, including Word, PDF, and HTML files. The API is also equipped with Translation Memory, which helps to optimize translations and ensures consistency across multiple documents.
translated. provides a Document Translation API with 2 main offerings included, from a free, ready-to-use solution to a highly customizable and sophisticated API. The HTS™ API is designed for translating structured content at a medium to high frequency, such as e-commerce product descriptions, blog posts, and client reviews. On the other hand, the TranslationOS™ API is the most complete and sophisticated API for language translation, offering full control over the translation process.
For all companies who use Document Translation in their software: cost and performance are real concerns. The Document Translation market is quite dense and all those providers have their benefits and weaknesses.
Document Translation APIs perform differently depending on the language of the text and some providers are specialized in specific languages. Different specificities exist
When testing multiple machine translation APIs, you will find that providers’ accuracy can be different according to text quality and format.
For example, some Document Translators perform better with text coming from tweets, others perform better with text from scientific papers, others with text from customer reviews, etc. This is explained because of the quality of the text (we can imagine that tweets are lower-quality texts compared to scientific papers or press articles for example).
Some APIs trained their engine with specific data. This means that some Document Translators may perform well for medical documents, while others perform better for laws and legal documents.
Companies and developers from a wide range of industries (Social Media, Retail, Health, Finances, Law, etc.) use Eden AI’s unique API to easily integrate Document Translation tasks in their cloud-based applications, without having to build their own solutions.
Eden AI offers multiple AI APIs on its platform amongst several technologies: Text-to-Speech, Language Detection, Sentiment Analysis, Logo Detection, Question Answering, Data Anonymization, Speech Recognition, and so forth.
We want our users to have access to multiple Document Translation engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs. There are many reasons for using multiple APIs:
Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.
You can see Eden AI documentation here.
The Eden AI team can help you with your Document Translation integration project. This can be done by :