Translate Cocktail Instructions Using DeepL

This n8n workflow demonstrates a simple integration with the DeepL API for text translation. While the workflow itself is very basic, it serves as a foundational example for incorporating DeepL's powerful translation capabilities into your automated processes.

What it does

This workflow contains two nodes:

1. HTTP Request: This node is a placeholder and does not perform any specific action in this minimal workflow. In a real-world scenario, it would typically be used to fetch data (e.g., cocktail instructions from an API, text from a database) that needs translation.
2. DeepL: This node is configured to interact with the DeepL API for translation. In its current state, it's ready to receive text input and translate it to a specified target language once configured with credentials.

Prerequisites/Requirements

• DeepL API Key: You will need an active DeepL API Free or Pro account and an associated API key to use the DeepL node.

Setup/Usage

1. Import the workflow: Import the provided JSON into your n8n instance.
2. Configure DeepL Credentials:
   • Click on the "DeepL" node.
   • In the node settings, locate the "Credentials" field.
   • Click "Create New" or select an existing DeepL API credential.
   • If creating new, you will need to provide your DeepL API Key.
3. Provide Input (Example):
   • To test the translation, you would typically connect another node (e.g., a "Set" node or another "HTTP Request" node) before the DeepL node to provide the text you want to translate.
   • For instance, you could add a "Set" node and define a field like textToTranslate with the cocktail instructions you want to translate.
   • In the DeepL node, configure the "Text" field to reference this input, e.g., {{ $json.textToTranslate }}.
4. Configure Translation Options:
   • In the DeepL node, specify the Target Language (e.g., ES for Spanish, DE for German).
   • You can also specify the Source Language if you know it, or leave it blank for DeepL to auto-detect.
5. Execute the workflow: Run the workflow manually to see the translation in action. The output of the DeepL node will contain the translated text.