DeepL翻译
Product information, use cases, and access for DeepL翻译.
Pricing information
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What is DeepL翻译?
DeepL is an AI language platform for individuals, teams, and businesses, combining text, document, and voice translation with writing assistance and integration capabilities. It is suited to people handling multilingual reading, writing, and communication, as well as developers bringing language functions into existing products or workflows.
Users can enter text in the web translator, drag in documents, or use real-time voice translation for meetings and conversations; document translation is designed to retain the source layout and visual context. Teams and businesses can also apply glossaries, custom rules, and tone controls for more consistent communication, while developers can connect translation and writing capabilities to their systems through the API.
Key features of DeepL翻译
Text translation
The translator converts text between supported languages and can detect the source language before producing a target-language result. It is suited to everyday reading, multilingual messages, and work content that needs a quick language conversion.
Document and file translation
Users can upload or drag in documents such as PDFs, Word files, and PowerPoint presentations for translation while retaining the original formatting, layout, and visual context. This is useful for complete files that need further editing, sharing, or inclusion in a team workflow.
Real-time voice and writing assistance
DeepL Voice provides real-time speech translation for online meetings and face-to-face conversations, helping participants follow communication across languages. DeepL Write improves grammar, tone, style, and wording in English and German, making it suitable for polishing written content.
API and language workflow integration
The DeepL API lets developers and businesses call language capabilities programmatically, integrating translation or writing functions into their own products and workflows. It is suited to building multilingual products, extending internal processes, or adding automated language handling to existing systems.