What is Document Translation API?
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.
Document Translation APIs uses cases
You can use Document Translation in numerous fields, here are some examples of common use cases:
Legal: translate legal documents, including contracts, agreements, and court documents, enabling them to serve clients who speak different languages.
Medical: translate entire medical reports, patient records, and other documents, enabling healthcare professionals to access the information they need to provide quality care, regardless of language barriers.
Business: translate contracts, financial reports, and other documents, enabling businesses to operate in multiple countries and serve a more diverse customer base.
Academic: translate research papers, theses, and other documents to make them accessible to a global audience, helping researchers and academics to share their work with people who speak different languages.
Government: translate legal and immigration documents, to communicate with people who speak different languages, enabling governments to provide services to people in their preferred language.
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.
Best Document Translation APIs on the market
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
DeepL
Google Cloud
Microsoft Azure
SAP
Systran
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1. AWS - Amazon Translate
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.
2. DeepL - Available on Eden AI
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.
3. Google Cloud - Cloud Translation - Available on Eden AI
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, the Document Translation API 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.
4. Microsoft Azure - Azure Translator
By leveraging Microsoft's vast experience in NLP and machine learning, Azure Translator is able to produce translations that are not only accurate but also 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.
5. SAP
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.
6. Systran
Systran's Document Translation 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. Systran's API supports over 55 languages, and users can translate a variety of document types, including Word, PDF, and HTML files. The API is also equipped with a feature called Translation Memory, which helps to optimize translations and ensures consistency across multiple documents.
7. translated.
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.
Performance variations of Document Translation APIs
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.
Performance variations across languages
Document Translation APIs perform differently depending on the language of the text and some providers are specialized in specific languages. Different specificities exist
Region specialties: some Document Translation APIs improve their machine learning algorithm to make them accurate for text in specific languages spoken in particular countries or regions. For example, some APIs perform well in English (US, UK, Canada, South Africa, Singapore, Hong Kong, Ghana, Ireland, Australia, India, etc.), while others are specialized in Asian languages (Korean, Japanese, Chinese, etc.).
Rare language specialty: some Document Translation providers care about rare languages and dialects. You can find Document Translation APIs that allow you to process text in Gujarati, Marathi, Burmese, Pashto, Zulu, Swahili, etc.
Performance variations according to text data quality
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).
Performance variations according to fields
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.
Why choose Eden AI to manage your Document Translation APIs
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:
Fallback provider is the ABCs: You need to set up a provider API that is requested if and only if the main Document Translation API does not perform well (or is down). You can use confidence score returned or other methods to check provider accuracy.
Performance optimization: After the testing phase, you will be able to build a mapping of providers’ performance based on the criteria you have chosen (languages, fields, etc.). Each data that you need to process will then be sent to the best Document Translation API.
Cost - Performance ratio optimization: You can choose the cheapest Document Translation that performs well for your data.
Combine multiple AI APIs: This approach is required if you look for extremely high accuracy. The combination leads to higher costs but allows your AI service to be safe and accurate because Document Translation APIs will validate and invalidate each other for each piece of data.
How Eden AI can help you?
Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.
GIF
Centralized and fully monitored billing on Eden AI for all Document Translation APIs
Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.
You can see Eden AI documentation here.
Next step in your project
The Eden AI team can help you with your Document Translation integration project. This can be done by :
Organizing a product demo and a discussion to better understand your needs. You can book a time slot on this link: Contact
By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
Having the possibility to integrate on a third-party platform: we can quickly develop connectors.