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- Overview
- Getting an authentication key
- Installation
- Usage
- Issues
- Development
The DeepL API is a language translation API that allows other computer programs to send texts and documents to DeepL's servers and receive high-quality translations. This opens a whole universe of opportunities for developers: any translation product you can imagine can now be built on top of DeepL's best-in-class translation technology.
The DeepL Java library offers a convenient way for applications written in Java to interact with the DeepL API. We intend to support all API functions with the library, though support for new features may be added to the library after they’re added to the API.
To use the DeepL Java Library, you'll need an API authentication key. To get a key, please create an account here. With a DeepL API Free account you can translate up to 500,000 characters/month for free.
Gradle users
Add this dependency to your project's build file:
Maven users
Add this dependency to your project's POM:
Import the package and construct a Translator. The first argument is a string containing your API authentication key as found in your DeepL Pro Account.
Be careful not to expose your key, for example when sharing source code.
This example is for demonstration purposes only. In production code, the authentication key should not be hard-coded, but instead fetched from a configuration file or environment variable.
Translator accepts additional options, see Configuration for more information.
If you experience problems using the library, or would like to request a new feature, please open an issue.
Tests
Execute the tests using ./gradlew test. The tests communicate with the DeepL API using the auth key defined by the DEEPL_AUTH_KEY environment variable. Be aware that the tests make DeepL API requests that contribute toward your API usage. The test suite may instead be configured to communicate with the mock-server provided by deepl-mock. Although most test cases work for either, some test cases work only with the DeepL API or the mock-server and will be otherwise skipped. The test cases that require the mock-server trigger server errors and test the client error-handling. To execute the tests using deepl-mock, run it in another terminal while executing the tests. Execute the tests using ./gradlew test with the DEEPL_MOCK_SERVER_PORT and DEEPL_SERVER_URL environment variables defined referring to the mock-server.
Free and Open Source Machine Translation API, entirely self-hosted. Unlike other APIs, it doesn't rely on proprietary providers such as Google or Azure to perform translations. Instead, its translation engine is powered by the open source Argos Translate library.
Select the translation engine you want to use from the dropdown menu. Choose the source and target languages from the language selectors. Enter the text you want to translate in the textarea on the left. Click the "Translate" button to perform the translation. The translated text will be displayed in the textarea on the right.
Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup. Run your own API server in just a few minutes.
Oct 2, 2024 · Additionally, we looked into adding multi-language support to Java applications. We explored Java’s built-in Locale & ResourceBundle classes for Java localization purposes, and how we can utilize them in a basic Java internationalization example. So, that marks the end of this tutorial.
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Following are the steps for developing the Java Translator: Step 1: Set up the project: Step 2: Adding the dependency: Step 3: Implementing the application: Step 1:Set up the project: Create a new Java project in your preferred IDE. (For eclipse, the Steps are given below): 1. Go to File then click New, then click Project, then click Maven Project.
