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Best Machine Translation (MT) / Automated Translation APIs in 2025
Machine Translation (MT) or automated translation is a process when a computer software translates text from one language to another without human involvement. There are three types of machine translation methods: rule-based, statistical and neural networks. Current machine translation software often allows for customization by domain or profession, improving output by limiting the scope of allowable substitutions.
You can use Machine Translation in numerous fields, here are some examples of common use cases:
MT experts at Eden AI tested, compared and used many machine translation APIs of the market. There are many actors and here are actors that perform well (in alphabetical order):
The Alibaba Cloud Translation API provides a powerful, scalable solution for real-time text, document, and website translation in over 200 languages. It uses AI-driven natural language processing and machine learning to deliver accurate, context-aware translations. The API supports domain-specific customization, ensuring translations align with the specific needs of various industries. With easy integration into apps and websites, the API offers efficient, cost-effective language support, making it ideal for businesses looking to expand their global reach.
Amazon Translate's API offers fast, high-quality, neural machine translations for over 100 languages, supporting both real-time and batch translation. It allows customization of brand names, model names, and unique terms for more accurate translations. The API is ideal for translating user-generated content like social media posts, comments, and reviews, and for enabling multilingual communication in chat, messaging, and support systems.
It also provides sentiment analysis for online conversations in different languages, helping businesses monitor brand perception and enhance communication. It's scalable and cost-effective for various use cases.
Apptek’s Machine Translation API offers scalable, high-quality translations across hundreds of language pairs using advanced neural network technology. It provides accurate, context-aware translations by analyzing entire documents, supporting a wide range of domains, and improving quality for low-resource languages.
The API handles code-switching and is customizable for specific needs. Apptek offers real-time translation, batch processing, and on-premise deployment options for businesses looking to enhance global content localization.
The DeepL Translate API enables seamless integration of high-quality translation into apps and websites, supporting document formats (Word, PowerPoint, PDF, HTML, etc.) while preserving formatting. It offers customizable glossaries for brand-specific terms and tone options (formal/informal). With GDPR compliance and ISO certifications, DeepL ensures data security and privacy.
The API offers predictable pricing, which helps with accurate budgeting, along with clear documentation and strong developer support, making it a reliable solution for global scalability.
The Google Cloud Translation API supports 135+ languages, offering Basic and Advanced editions with neural machine translation (NMT) for dynamic translations. Advanced features include domain-specific translation, formatted document support, and batch processing. Its adaptive translation, powered by LLMs, provides customized, nuanced results, while AutoML enables the creation of tailored models for specialized content.
The API is scalable, with the first 500,000 characters free per month, making it ideal for both general and specialized translation needs.
Hugging Face’s machine translation API offers access to pre-trained models like MarianMT and Helsinki-NLP, which support a wide range of language pairs for translation, such as English to French, German to English, and many others. The API allows for seamless integration, where you can send text to be translated and receive the output in JSON format. It supports various languages and provides accurate, state-of-the-art translations based on Transformer-based models.
The IBM Watson Language Translator API is a powerful tool for multilingual translation. It offers features such as language identification, text translation, real-time text translation, and customization options through glossaries and fine-tuning on parallel data. The API can be easily integrated into various programming languages, including Java, Swift, and JavaScript.
The Lesan translation API provides access to its high-quality machine translation system for low-resource languages like Amharic and Tigrinya. By integrating this API into applications, developers can leverage Lesan’s superior translation capabilities, which have been shown to outperform leading systems like Google Translate and Microsoft Translator. The API allows for real-time translations and is built on a custom benchmark dataset created from offline print resources, improving the quality and contextual accuracy of translations for these underrepresented languages.
Lingvanex offers a robust machine translation API supporting over 100 languages, with real-time translations for text, voice, files, images, and websites. It features automatic language detection and customizable services to handle specific terminology, jargon, or names. Its models have been evaluated using BLEU and COMET metrics, showing strong performance across multiple language pairs.
The service offers unique features like phone call translation in 36 languages and integration with platforms like Slack for instant message translation. Lingvanex's smaller model size ensures lower GPU memory usage and faster translation times, while continuous updates improve translation accuracy.
The Microsoft Azure Machine Translation API, part of Azure AI Translator, allows developers to integrate real-time or batch translation across 100+ languages with a single REST API call. It supports features like automatic language detection, bilingual dictionaries, script conversion, and domain-specific customizations for specialized terminology. The API is accessible through multiple programming languages, including Python, C#, Java, and JavaScript, making it versatile for various applications like multilingual agents and in-app communication.
The ModernMT API offers highly adaptable machine translation, supporting 200 languages with unique features like document-level translation and real-time learning from human corrections. It combines AI and human expertise through its Human-in-the-Loop system, continuously improving translation quality. The API is designed for large enterprises, providing fast, scalable, and secure translation services with ISO 27001:2013 certification, ensuring data privacy. ModernMT’s responsive translation approach focuses on delivering relevant and accurate translations, making it suitable for multinational companies with diverse language needs.
NeuralSpace's Machine Translation API delivers advanced neural machine translation across 100+ languages, utilizing deep learning for high-accuracy translations. The service supports real-time and batch processing, preserves specific entities, and handles complex linguistic structures, enabling businesses to efficiently localize content and communicate across diverse language environments.
The OpenAI API can be used for machine translation tasks by generating fluent translations between multiple languages. Developers can integrate the API into their applications to handle text translation, leveraging the models' ability to understand and generate contextually accurate translations across various language pairs. The API is flexible, allowing users to customize prompts for different translation needs, making it a versatile tool for language-related tasks.
Tencent Cloud's Machine Translation API delivers high-quality, real-time translations using advanced technologies like neural networks, translation memory, and decoding algorithms. It supports text, speech, and image translations, enhanced with OCR and ASR. The API leverages big data and domain-adaptive capabilities to ensure accurate translations across multiple industries. With proven performance in global competitions like WMT2018, it offers fast, stable, and scalable translation solutions for businesses.
The Translated API offers two solutions: HTS™ API for translating structured content like e-commerce descriptions and blog posts, and TranslationOS™ API for advanced translation management. HTS™ is easy to use, free, and integrates with CMS platforms like WordPress, while TranslationOS™ provides full control, supporting features like repetition leveraging, string segmentation, and real-time project tracking. Both APIs include options for human translation integration, translation quotes, and monthly invoicing.
Translate.com’s API offers automatic translation for content such as e-commerce product descriptions, blog posts, and client reviews in over 100 languages. With a simple 1-minute installation, it integrates easily into any workflow or CMS. The API ensures data privacy and provides trial subscriptions for testing. It offers a fast, secure solution for businesses to scale their translation needs effortlessly.
The Yandex Translate API offers high-quality neural machine translation for over 100 languages, enabling businesses to translate content, interfaces, and communications efficiently. It supports scalable integration into machine learning pipelines and reduces translation costs with customizable glossaries. Yandex provides enterprise-level support, 24/7 assistance for extended plans, and operates on a secure, fault-tolerant cloud infrastructure. The service runs via an HTTP API with detailed documentation for easy integration.
The ModernMT API offers highly adaptable machine translation, supporting 200 languages with unique features like document-level translation and real-time learning from human corrections. Recognized as a leader in machine translation, it combines AI and human expertise through its Human-in-the-Loop system, continuously improving translation quality. The API is designed for large enterprises, providing fast, scalable, and secure translation services with ISO 27001:2013 certification, ensuring data privacy. ModernMT’s responsive translation approach guarantees the relevance and accuracy of translations, making it ideal for multinational corporations looking for multi-domain support.
For all the companies who use machine translation in their softwares and for their customers, cost and performances are real concerns. The MT market is dense and all those providers have their benefits and weaknesses.
Performance variations according to the languages
Machine Translation APIs perfom differently depending the language of audio. In fact, some providers are specialized in specific languages. Different specificities exist:
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 MT APIs 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 fields
Some APIs are trained their engine with specific data. This means that MT APIs will perform better for text in medical field, other in automotive field, other in generic fields, etc. If you have customers coming from different fields, you must consider this detail and optimize your choice.
All the companies that have machine translation feature in their product or deal with voice technology for their customers have to use multiple machine translation APIs. This is mandatory to reach high performance, optimize cost and cover all the customers needs. There are many reasons for using multiple APIs:
Eden AI has been made for multiple machine translation APIs use. Eden AI is the future of machine translation and localization usage in companies. The Eden AI MT APIs allows you to call multiple MT APIs and handle all your voice issues:
You can see Eden AI documentation here.
The Eden AI team can help you with your machine translation integration project. This can be done by :
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