How AI Helps Translators: A Review of Tools

These technologies make translation faster and more accurate, and also provide unique features for different types of translation: from written and spoken to localization and machine translation. Learn about AI tools that help you work with maximum efficiency in our review.

Published 1 min read

Written Translation

DeepL

One of the most popular translators for texts that preserve style and context. DeepL uses a neural network architecture trained on large amounts of data to produce translations that closely resemble human style. This is especially useful for business and literary texts.

Smartcat

Smartcat with AI integration offers an auto-translate feature with editing capabilities, as well as support for collaborative project work, making it convenient for large-scale projects.

Oral Translation

Microsoft Translator

Suitable for speech processing and features automatic speech recognition, enabling real-time audio translation. It is used for conferences and tourism purposes.

Translate by Speechmatics

Uses AI for accurate speech recognition, suitable for translating online conferences and meetings. Supports multiple languages and dialects, allowing translators to work with audio content without prior preparation.

Specialized Translations

SDL Trados

Suitable for complex technical translations thanks to support for translation memory and terminology databases. Useful for companies working with large volumes of text and requiring consistent style and accuracy.

MemoQ

MemoQ is a tool for professional translators that supports work with highly specialized texts. It allows customization of databases and reuse of previous translations to improve quality and ensure consistency.