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The DeepL API provides programmatic access to DeepL’s machine translation technology, making it possible to bring high quality translation capabilities directly to your websites and applications.

Common use cases include:

  • Website translation: Localize websites and expand to new markets efficiently and at scale—even in sectors like e-commerce and news media with a large catalog of dynamic content.
  • Company communications: Integrate DeepL’s translation technology into your company’s systems such as Confluence, SharePoint, and Zendesk. Enable your global teams to communicate seamlessly and with maximum data security.
  • Building multilingual products: Translate chat conversations to connect users across language barriers in real time. Localize comments and product reviews with the click of a button. Make translation one of your differentiating features—however you imagine it.

In addition, many leading computer-assisted translation (CAT) tool providers have integrated DeepL’s technology into their software. This lets translators benefit from DeepL’s high-quality neural translations within their favorite translation tool. If you would like to develop a DeepL plugin for your CAT tool, please contact us at here.

Why the DeepL API?

You can access the DeepL API with either a DeepL API Free or DeepL API Pro plan.

With the DeepL API Free plan, you can translate up to 500,000 characters per month for free.

For more advanced use cases, the DeepL API Pro plan allows unlimited translation with usage-based pricing, maximum data security, and prioritized execution of translation requests.

The following documentation applies to both plans. Please note that the API domain is different for each DeepL API plan, so please make sure to use the correct domain.


The following example shows a basic request translating the text, "Hello, world!"

POST /v2/translate
Example Request
curl -X POST '' \ --header 'Authorization: DeepL-Auth-Key [yourAuthKey]' \ --data-urlencode 'text=Hello, world!' \ --data-urlencode 'target_lang=DE'
Example Response
{ "translations": [ { "detected_source_language": "EN", "text": "Hallo, Welt!" } ] }